PengYe Dissertation 2011

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    The Pennsylvania State University

    The Graduate School

    John and Willie Leone Family Department of Energy and Mineral Engineering

    INVESTIGATION OF IMPACT OF FUEL INJECTION STRATEGY AND

    BIODIESEL FUELING ON ENGINE EMISSIONS AND PERFORMANCE

    A Dissertation in

    Energy and Mineral Engineeringby

    Peng Ye

    2011 Peng Ye

    Submitted in Partial Fulfillment

    of the Requirements

    for the Degree of

    Doctor of Philosophy

    December 2011

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    Abstract

    Both biodiesel fueling and changes of fuel injection pressure have significant

    impacts on diesel engine emissions. The investigations of their impacts on engine exhaust

    NOx and particulate matter emissions were conducted with an 8-cylinder common-rail

    turbocharged direct injection diesel engine using ultra low sulfur diesel fuel and soybean

    methyl ester (SME) based biodiesel blends. The engine was running at moderate speed

    and different loads. Three fuel injection parameters: start of injection, fuel injection

    pressure and fuel injection duration were investigated to investigate their impact on

    engine emissions. With the control of fuel injection strategy, it is shown in this work that

    the biodiesel engine NOx emission penalty can be eliminated.

    A fuel spray, mixture stoichiometry field and lift-off length model was employed

    to explain the variations of NOx emission from biodiesel fueling and change of fuel

    injection strategy. Linear correlations between the average oxygen equivalence ratio of

    the fuel-air mixture at the autoignition zone near the lift-off length and brake specific

    NOx emissions were observed for all load conditions, regardless of fuel type. This

    confirms that the dominant factor that determines NOx emissions is the ignition event

    controlled by the oxygen equivalence ratio at the autoignition zone.

    The impact of late in-cylinder (post) injection combustion with biodiesel on

    lubricating oil dilution was investigated in this work. It is shown that this injection

    strategy could effectively decrease engine NOx emissions, while increase the CO and

    unburned hydrocarbon emissions. The lubricating oil dilution depends on the post

    injection timing: an increase in the lubricating oil dilution can be only observed if the

    post injection timing is later than 45 after top dead center.

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    The impacts of fuel injection pressure on diesel and biodiesel soot morphology

    and oxidative reactivity were investigated. It is shown that compared with engine

    condition and fuel injection pressure, biodiesel has much less significant impact on soot

    morphology. For soot oxidative reactivity, it is found that both diesel and biodiesel soot

    from higher fuel injection pressure have higher reactivity, and biodiesel soot has higher

    reactivity than diesel soot when both of them are obtained from the same injection

    pressure.

    The optimized apparent heat release pattern for improved engine thermal

    efficiency was investigated with a zero-dimensional engine thermodynamic simulation.The results suggest that the optimized apparent heat release is a wide and low peak.

    The reason for this kind of heat release is that it can decrease the in-cylinder temperature

    and consequently decrease heat loss.

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    v

    Table of Contents

    List of Figures ................................................................................................................... vii

    List of Tables. .................................................................................................................. xiv

    Nomenclature .................................................................................................................... xv

    Acknowledgements ........................................................................................................ xviii

    Chapter I. Introduction ................................................................................................... 1

    Chapter II. Literature Review.......................................................................................... 7

    2.1 Biodiesel background ............................................................................................ 7

    2.2 Impact of biodiesel fueling on engine emissions ................................................ 13

    2.2.1 Nitric oxides (NOx) ....................................................................................... 15

    2.2.2 Particulate Matter (PM) ................................................................................. 19

    2.3 Origin of biodiesel emission effect ..................................................................... 22

    2.3.1 Biodiesel NOx effect...................................................................................... 22

    2.3.2 Biodiesel particulate matter effect ................................................................. 27

    2.4 Fuel Injection strategy with biodiesel fueling ..................................................... 29

    2.5 Post injection strategy ......................................................................................... 33

    2.6 Biodiesel and fuel injection pressure on PM morphology and soot oxidative

    reactivity .............................................................................................................. 362.6.1 PM morphology ............................................................................................. 36

    2.6.2 Soot oxidative reactivity ................................................................................ 40

    2.7 Impact of biodiesel fueling, injection strategy and heat release pattern on Engineefficiency ............................................................................................................. 42

    Chapter III. Technical Approach .................................................................................... 49

    3.1 Experiment apparatus.......................................................................................... 49

    3.2 Engine emission bench: ...................................................................................... 50

    3.3 Test fuel .............................................................................................................. 513.4 Engine test conditions ......................................................................................... 53

    3.5 Biodiesel lubricating oil dilution ........................................................................ 57

    3.6 Soot characterization ........................................................................................... 60

    Chapter IV. Investigation of injection strategy and biodiesel fueling on diesel engineemissions and performance ........................................................................ 64

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    4.1 Impact of injection timing and fuel injection pressure on NOx emissions ......... 64

    4.2 Impact of injection timing and fuel injection pressure on particulate matter (PM)emissions ............................................................................................................. 68

    4.3 NOx-PM trade-off ............................................................................................... 72

    4.4 Brake thermal efficiency ..................................................................................... 784.5 Apparent heat release analysis ............................................................................ 83

    Chapter V. Origin of biodiesel NOx effect ................................................................... 92

    Chapter VI. Investigation of late in-cylinder injection strategy on engine emissions andlubricant fuel dilution ............................................................................... 108

    6.1 Exhaust Emissions ............................................................................................ 108

    6.2 Exhaust Temperature and BSFC ....................................................................... 110

    6.3 Heat Release Analysis....................................................................................... 112

    6.4 Oil Dilution Level, Total Acid Number (TAN) and mfMEP ........................... 120

    6.5 Analysis of Hydrocarbons from Lubricant and Exhaust................................... 123

    Chapter VII. Impact of fuel injection pressure on soot morphology and oxidativereactivity ................................................................................................... 129

    7.1 Morphology analysis ......................................................................................... 129

    7.2 Analysis of soot oxidative reactivity................................................................. 139

    Chapter VIII.Optimized heat release pattern to achieve high engine efficiency ............ 149

    8.1 Model formulation ............................................................................................ 149

    8.2 Computational procedure .................................................................................. 156

    8.3 Optimized heat release pattern probing ............................................................ 163

    Chapter IX. Conclusions and recommendations for future work ................................. 193

    References. .................................................................................................................. 199

    Appendix A: Matlab code ............................................................................................... 229

    Appendix B: Repeatability of thermogravimetric analysis ............................................. 236

    Appendix C: Repeatability of Raman analysis .............................................................. 239

    Appendix D: Repeatability of Morphology analysis ...................................................... 240

    Appendix E: Repeatability of particle size distribution (SMPS) result .......................... 242

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    List of Figures

    Figure II-1: A diagram representing the transesterification process, replicated from [6].The general scheme of the process is to modify a triglyceride (a fat or oil

    which is a glyceride with three fatty acids, represented as R1, R2 andR3)into a fatty acid methyl ester. ....................................................................... 8

    Figure II-2: NOx, PM, CO and HC % changes as biodiesel blending percentage increaseas determined by the EPA through statistical regression of publicallyavailable data on highway heavy-duty truck engines [18, 51]. Taken from[44] ............................................................................................................. 14

    Figure II-3: Diesel soot agglomerate composed of spherical primary particles, taken fromRef. [168] .................................................................................................... 37

    Figure II-4: A sketch of limit-pressure cycle .................................................................... 46Figure II-5: Indicated efficiency map with and .......................................................... 47

    Figure III-1: FAME composition of B100 soybean oil methyl ester ................................ 52

    Figure III-2: Molecular structures[217], names, abbreviations, chemical formulas, andChemical Abstracts Service (CAS) numbers of compounds comprising thebiodiesel used in this work. ........................................................................ 53

    Figure III-3: Thermophoretic sampling apparatus ............................................................ 57

    Figure III-4: FTIR spectrums for oils with different biodiesel dilution............................ 58

    Figure III-5: Correlation between absorbance of Peak 1746 cm-1from FTIR and dilutionlevel ............................................................................................................ 59

    Figure III-6: Demonstration of curve fitting for Raman spectrum ................................... 63

    Figure IV-1: NOx emissions at 25% load. Four injection timings (9, 5, 1 before topdead center and 3 after top dead center) were tested for both ultra lowsulfur diesel (ULSD) and B40 blend. Three fuel injection pressures (52, 60and 80 MPa) were tested at each injection timing ...................................... 65

    Figure IV-2: NOx emissions at 50% load. Four injection timings (9, 7, 5, 3 1 beforetop dead center and 1, 3 after top dead center) were tested for both ultralow sulfur diesel (ULSD) and B40 blend. Three fuel injection pressures (72,90 and 108 MPa) were tested at each injection timing for ULSD, and sixfuel injection pressures (72, 80, 90, 98, 108 and 118 MPa) were tested ateach injection timing for B40. .................................................................... 66

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    Figure IV-3: NOx emissions at 75% load. Four injection timings (9, 5, 1 before topdead center and 3 after top dead center) were tested for both ultra lowsulfur diesel (ULSD) and B40 blend. Three fuel injection pressures (87,109 and 131 MPa) were tested at each injection timing. ............................ 67

    Figure IV-4: PM emissions at 25% load. Four injection timings (9, 5, 1 before top deadcenter and 3 after top dead center) were tested for both ultra low sulfurdiesel (ULSD) and B40 blend. Three fuel injection pressures (52, 60 and 80MPa) were tested at each injection timing. ................................................ 69

    Figure IV-5: PM emissions at 50% load. Four injection timings (9, 5, 1 before top deadcenter and 3 after top dead center) were tested for both ultra low sulfurdiesel (ULSD) and B40 blend. Three fuel injection pressures (72, 90 and108 MPa) were tested at each injection timing. ......................................... 71

    Figure IV-6: PM emissions at 75% load. Four injection timings (9, 5, 1 before top deadcenter and 3 after top dead center) were tested for both ultra low sulfur

    diesel (ULSD) and B40 blend. Three fuel injection pressures (87, 109 and131 MPa) were tested at each injection timing. ......................................... 72

    Figure IV-7: NOx-PM emission trade-off at 25% load. The legend shows the fuel andinjection timing for each test. Three fuel injection pressures (52, 66 and 80MPa) were tested at each injection timing for each fuel. Fuel injectionpressure is not distinguished in the plot. .................................................... 73

    Figure IV-8: NOx-PM emission trade-off at 50% load. The legend shows the fuel andinjection timing for each test. Three fuel injection pressures (72, 90 and108 MPa) were tested at each injection timing for each fuel. Fuel injection

    pressure is not distinguished in the plot ..................................................... 74

    Figure IV-9: NOx-PM emission trade-off at 75% load. The legend shows the fuel andinjection timing for each test. Three fuel injection pressures (87, 109 and131 MPa) were tested at each injection timing for each fuel. Fuel injectionpressure is not distinguished in the plot ..................................................... 75

    Figure IV-10: PM-NOx emission trade-off at the start of injection timing at 9 before topdead center for ultra low sulfur diesel and B40. (a) 25% load; (b): 50% load;(c): 75% load; (d): 75% load after Soxhlet of PM filters ........................... 77

    Figure IV-11: Brake thermal efficiency at 25% load for ultra low sulfur diesel (left) andB40 (right). The multiple points at each start of injection timing are due tothe multiple fuel injection pressures. .......................................................... 79

    Figure IV-12: Brake thermal efficiency at 50% load for ultra low sulfur diesel (left) andB40 (right). The multiple points at each start of injection timing are due tothe multiple fuel injection pressures. .......................................................... 81

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    Figure IV-13: Brake thermal efficiency at 75% load for ultra low sulfur diesel (left) andB40 (right). The multiple points at each start of injection timing are due tothe multiple fuel injection pressures. .......................................................... 82

    Figure IV-14: Apparent heat release profile of different fuels and different fuel injectionpressures at 25% load. The SOI: a) 9BTDC, b) 5BTDC, c) 1BTDC, d)3ATDC. ..................................................................................................... 85

    Figure IV-15: Apparent heat release profile of different fuels and different fuel injectionpressures at 50% load. The SOI: a) 9BTDC, b) 5BTDC, c) 1BTDC, d)3ATDC. ..................................................................................................... 88

    Figure V-2: Oxygen equivalence ratio () field for ULSD and B40 at different injectionpressures at the SOI of 7BTDC, mid-load ................................................ 99

    Figure V-3: Oxygen equivalence ratio () field for ULSD and B40 at different injectionpressures at the SOI of 9BTDC, mid-load .............................................. 100

    Figure V-4: The correlation between brake specific NOx emissions and average oxygenequivalence ratio of the fuel-air mixture at lift-off length at 25% load,regardless of fuel type. The legend: xB is x degree before TDC; xA is xdegree after TDC. ..................................................................................... 102

    Figure V-5: The correlation between brake specific NOx emissions and average oxygenequivalence ratio of the fuel-air mixture at lift-off length at 50% load,regardless of fuel type. The legend: xB is x degree before TDC; xA is xdegree after TDC. ..................................................................................... 103

    Figure V-6: The correlation between brake specific NOx emissions and average oxygenequivalence ratio of the fuel-air mixture at lift-off length at 75% load,regardless of fuel type. The legend: xB is x degree before TDC; xA is xdegree after TDC. ..................................................................................... 104

    Figure V-7: semi-ln plot of absolute value of slope vs. SOI .......................................... 105

    Figure V-8: semi-ln plot of Y-axis intercept (at X=0) vs. SOI ....................................... 106

    Figure VI-1: Emissions of B20 engine test with various post injection strategies. Samplesare differentiated with post injection conditions while rest parameters werekept the same. The fuel for the non-ULSD test was B20. ........................ 109

    Figure VI-2: Exhaust temperature and BSFC profile of the 100-hour test. Each point isthe average of one test period. The dash lines are used to divide zones ofeach post injection strategy. ..................................................................... 111

    Figure VI-3: Pressure traces of test with different post injection strategies at both TDC(top) and late crank angle (bottom) .......................................................... 113

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    Figure VI-5: Bulk cylinder temperature of tests with different post injection strategies.The arrow points to the lowest acceptable combustion temperature. ....... 117

    Figure VI-7: GC-MS results of diesel, B100, lighter cut from 432C distillation of freshand used lubricant (top); Region of interest in the GC-MS results (bottom).The numbers at the diesel zone means the number of carbon in relevantparaffin. .................................................................................................... 124

    Figure VI-8: GC-MS results of hydrocarbons collected from exhaust gases for variouspost injection strategies ............................................................................ 126

    Figure VI-9: FAME composition of B100 and of the biodiesel in used lubricant. ........ 127

    Figure VII-1: A transmission electronic microscopy (TEM) image of diesel soot at 30%load and 50 MPa fuel injection pressure .................................................. 130

    Figure VII-2: A transmission electronic microscopy (TEM) image of B20 soot at 30%

    load and 50 MPa fuel injection pressure .................................................. 131

    Figure VII-3: Primary particle sizes for both diesel and B20 soot ................................. 133

    Figure VII-4: Fractal dimensions for both diesel and B20 soot...................................... 134

    Figure VII-5: Number of primary particles for both diesel and B20 soot ...................... 135

    Figure VII-6: Particle size distribution of diesel and B20 combustion exhaust, 30% load,before thermodenuder ............................................................................... 136

    Figure VII-7: Particle size distribution of diesel and B20 combustion exhaust, 30% load,

    after thermodenuder ................................................................................. 137

    Figure VII-8: Particle size distribution of diesel and B20 combustion exhaust, 60% load,before thermodenuder ............................................................................... 138

    Figure VII-9: Particle size distribution of diesel and B20 combustion exhaust, 60% load,after thermodenuder ................................................................................. 139

    Figure VII-10: Thermogravimetric analysis result of 30% load diesel and B20 soot, m/m0indicates the residual mass weight percentage. ........................................ 140

    Figure VII-11: Thermogravimetric analysis result of 60% load diesel and B20 soot, m/m0indicates the residual mass weight percentage. ........................................ 141

    Figure VII-12: Apparent oxidative reactivity of 30% load diesel and B20 soot ............ 143

    Figure VII-13: Apparent oxidative reactivity of 60% load diesel and B20 soot ............ 144

    Figure VII-14: AD1/Agratio with fuel injection pressure for both diesel and B20 soot . 146

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    Figure VII-15: D1 FWHM values with fuel injection pressure for both diesel and B20soot ........................................................................................................... 147

    Figure VIII-1: comparison of simulated motor pressure trace with engine data, running at1500 rpm, 30% load, single injection timing at 1 before top dead center,100 MPa fuel injection pressure ............................................................... 158

    Figure VIII-2: Representation of apparent heat release (AHR) at 1500 rpm, 30% load, 1before top dead center injection, 100 MPa fuel injection pressure with aconvolution of two peaks: one Gaussian peak and one ExpConvExp peak.Top: difference between the engine data and fit curve; middle: comparisonof engine data and fit curve; bottom: deconvolution of artificial peaks. .. 159

    Figure VIII-3: Representation of apparent heat release (AHR) at 1500 rpm, 60% load, 1before top dead center injection, 100 MPa fuel injection pressure with aconvolution of two peaks: one Gaussian peak and one ExpConvExp peak.Top: difference between the engine data and fit curve; middle: comparison

    of engine data and fit curve; bottom: deconvolution of artificial peaks. .. 160

    Figure VIII-4: comparison of simulated pressure trace with engine data, running at 1500rpm, 30% load, single injection timing at 1 before top dead center, 100MPa fuel injection pressure ...................................................................... 163

    Figure VIII-5: Examples of apparent heat release with: h1/h1b = 0.2, h2/h2b=1.29;h1/h1b = 0.6, h2/h2b=1.17; h1/h1b = 1, h2/h2b=1 .................................. 166

    Figure VIII-6: Effect of start of combustion on indicated thermal efficiency, h1/h1b = 0.2,h2/h2b=1.29; h1/h1b = 0.6, h2/h2b=1.17; h1/h1b = 1, h2/h2b=1 ............ 167

    Figure VIII-7: Effect of start of combustion on brake thermal efficiency, h1/h1b = 0.2,h2/h2b=1.29; h1/h1b = 0.6, h2/h2b=1.17; h1/h1b = 1, h2/h2b=1 ............ 168

    Figure VIII-8: Examples of apparent heat release with: h1/h1b = 1, h2/h2b=1; h1/h1b = 2,h2/h2b=0.66; h1/h1b = 3, h2/h2b=0.34; h1/h1b = 4, h2/h2b=0.02 .......... 169

    Figure VIII-9: Effect of start of combustion on indicated thermal efficiency, h1/h1b = 1,h2/h2b=1; h1/h1b = 2, h2/h2b=0.66; h1/h1b = 3, h2/h2b=0.34; h1/h1b = 4,h2/h2b=0.02 .............................................................................................. 170

    Figure VIII-10: Effect of start of combustion on brake thermal efficiency, h1/h1b = 1,

    h2/h2b=1; h1/h1b = 2, h2/h2b=0.66; h1/h1b = 3, h2/h2b=0.34; h1/h1b = 4,h2/h2b=0.02 .............................................................................................. 171

    Figure VIII-11: Examples of apparent heat release with: w1/w1b = 0.6, h2/h2b=1.17;w1/w1b = 0.8, h2/h2b=1.11; w1/w1b = 1, h2/h2b=1 ............................... 172

    Figure VIII-12: Effect of start of combustion on indicated thermal efficiency, w1/w1b =0.6, h2/h2b=1.17; w1/w1b = 0.8, h2/h2b=1.11; w1/w1b = 1, h2/h2b=1 . 173

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    Figure VIII-13: Effect of start of combustion on brake thermal efficiency, w1/w1b = 0.6,h2/h2b=1.17; w1/w1b = 0.8, h2/h2b=1.11; w1/w1b = 1, h2/h2b=1 ........ 174

    Figure VIII-14: Examples of apparent heat release with: w1/w1b = 1, h2/h2b=1; w1/w1b= 2, h2/h2b=0.66; w1/w1b = 3, h2/h2b=0.34; w1/w1b = 4, h2/h2b=0.02 175

    Figure VIII-15: Effect of start of combustion on indicated thermal efficiency, w1/w1b = 1,h2/h2b=1; w1/w1b = 2, h2/h2b=0.66; w1/w1b = 3, h2/h2b=0.34; w1/w1b= 4, h2/h2b=0.02 ...................................................................................... 176

    Figure VIII-16: Effect of start of combustion on brake thermal efficiency, w1/w1b = 1,h2/h2b=1; w1/w1b = 2, h2/h2b=0.66; w1/w1b = 3, h2/h2b=0.34; w1/w1b= 4, h2/h2b=0.02 ...................................................................................... 177

    Figure VIII-17: Examples of apparent heat release with different peak distances ......... 178

    Figure VIII-18: Effect of start of combustion on indicated thermal efficiency with

    different peak distance, L = l2-l1............................................................ 179

    Figure VIII-19: Effect of start of combustion on brake thermal efficiency with differentpeak distance ............................................................................................ 180

    Figure VIII-20: Examples of apparent heat release profiles for sharp peak (h1/h1b = 8)versus low and wide peak (w1/w1b = 8) .................................................. 181

    Figure VIII-21: Indicated thermal efficiency for sharp peak (h1/h1b = 8) versus low andwide peak (w1/w1b = 8) ........................................................................... 182

    Figure VIII-22: Brake thermal efficiency for sharp peak (h1/h1b = 8) versus load andwide peak (w1/w1b = 8) ........................................................................... 183

    Figure VIII-23: Heat transfer loss for sharp peak (h1/h1b = 8) versus load and wide peak(w1/w1b = 8) ............................................................................................ 184

    Figure VIII-24: Comparison of cylinder pressure for sharp peak (h1/h1b = 8) versus loadand wide peak (w1/w1b = 8) apparent heat release .................................. 185

    Figure VIII-25: Indicated work for sharp peak (h1/h1b = 8) versus low and wide peak(w1/w1b = 8) ............................................................................................ 186

    Figure VIII-26: P-V diagram for sharp peak (h1/h1b = 8) versus low and wide peak(w1/w1b = 8) ............................................................................................ 187

    Figure VIII-27: Comparison of two apparent heat release (AHR) profiles with the samestart of combustion timing at 362.2 (2.2 after top dead center), indicatedefficiency of AHR1 = 49.74%, indicated efficiency of AHR2 = 47.23% 188

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    Figure VIII-28: Comparison of cylinder pressure traces of two apparent heat release(AHR) profiles with the same start of combustion timing at 362.2 (2.2after top dead center), indicated efficiency of AHR1 = 49.74%, indicatedefficiency of AHR2 = 47.23% .................................................................. 189

    Figure VIII-29: Comparison of two apparent heat release (AHR) profiles with the samestart of combustion timing at 350 (10 before top dead center), indicatedefficiency of AHR1 = 50.02%, indicated efficiency of AHR2 = 50.84% 190

    Figure VIII-30: Comparison of cylinder pressure traces of two apparent heat release(AHR) profiles with the same start of combustion timing at 350 (10before top dead center), indicated efficiency of AHR1 = 50.02%, indicatedefficiency of AHR2 = 50.84% .................................................................. 191

    Figure B-1: Repeatability of thermogravimetric analysis for diesel soot, 30% load and 75MPa .......................................................................................................... 238

    Figure E-1: Repeatability of particle size distribution of exhaust gases running with B20at 30% load and 50 MPa fuel injection pressure ...................................... 242

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    List of Tables

    Table I-1: Emission regulation for light and heavy duty diesel engines [3] ....................... 2

    Table II-1: Chemical structure of common fatty acids, taken from [38] ............................ 9

    Table II-2: Chemical composition of biodiesel derived from different feedstock, takenfrom [39] ..................................................................................................... 10

    Table II-3: Physical and chemical properties of common fatty acid methyl esters(FAMEs), taken from [39] .......................................................................... 10

    Table II-4: The effects of property differences between soy methyl ester biodiesel or itsblend and petroleum diesel on engine parameters and fuel combustion. Apositive/negative sign in the difference column means increase/decrease;a positive/negative sign in the rest column means increase (oradvance)/decrease (or retarding) of the property. Taken from [44] ........... 12

    Table III-1: Engine specifications ..................................................................................... 49

    Table III-2: Engine operating parameters in Task 1 and 2 ............................................... 54

    Table III-3: Engine operating parameters in Task 3 ......................................................... 55

    Table III-4: Engine operating parameters in Task 4 ......................................................... 56

    Table V-1: Input parameters during calculation ............................................................... 94

    Table VI-1: Equivalence ratio , mean pressure P mean temperature Tand ignition delay

    ID calculated for each post injection case. .............................................. 118

    Table VI-2: Calculated UHC emission rate and consumed HC by combustion at latecrank angle. B20 is a fuel mixture blended with 20% v/v SME based B100and 80% v/v ultra low sulfur diesel. ......................................................... 120

    Table VIII-1: Engine basic parameters used by friction model. ..................................... 155

    Table C-1: Repeatability of Raman analysis for B20 soot, 30% load and 50 MPa fuelinjection pressure ...................................................................................... 239

    Table D-1: Repeatability of number of primary particles and fractal dimension for B20soot, 60% load at 75 MPa fuel injection pressure .................................... 240

    Table D-2: repeatability of measurement of diameter of primary particles of diesel soot,60% load at 125 MPa fuel injection pressure ........................................... 241

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    Nomenclature

    AZ = autoignition zone

    AHR = apparent heat release

    CO = carbon monoxide

    PM = Particulate Matter

    NOx = Nitrogen Oxides

    IVC = inlet valve close

    EVO = outlet valve open

    LCA = late crank angle

    LOL = Lift-Off Length

    l1,l2= locations of artificial heat release peaks

    h1, h2= height of artificial heat release peaks

    w1= width of artificial Gaussian heat release peaks

    l1b, l2b, h1b, h2b, w1b= location, height and width of apparent heat release at baseline

    TDC = top dead center

    TAN = total acid number

    FAME = Fatty Acid Methyl Esters

    SME = Soybean Methyl Esters

    SMPS = scanning mobility particle sizer

    SOI = Start of Injection

    SOC = Star of Combustion

    ULSD = Ultra Low Sulfur Diesel

    UHC = Unburned Hydrocarbon

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    mfMEP = mechanic fraction mean effective pressure

    IMEPg = gross indicated mean effective pressure

    ID = ignition delay

    = overall equivalence raito

    x = axial coordinate

    r = radical coordinate

    (x) = average equivalence ratio of a fuel spray at x

    (A/F)st = stoichiometric air fuel ratio

    = oxygen equivalence ratiox+= penetrate length scale of fuel jet

    f= fuel density

    a= air density

    d = diameter of orifice

    Ca = area-contraction coefficient

    nC = nuber of carbon atoms in fuel

    nH = number of hydrogen atoms in fuel

    nO = number of oxygen atoms in reactants

    H = lift-off length

    Uf= velocity of injected fuel

    Zst = stoichiometric mixture fraction of fuel

    p = mean pressure

    P = in-cylinder pressure

    V = chamber volume

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    T = in-cylinder temperature

    T = mean temperature

    postm = rate of the mass of post injected fuel

    = engine thermal efficiency

    = crank angle

    = Cp/Cv, ratio of constant pressure heat capacity and constant volume heat capacity

    qt= total heat added

    qw= engine wall heat transfer

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    Acknowledgements

    I want to express my sincere gratitude to my academic advisor, Dr. Andr L.

    Boehman, for his support, guidance, enthusiasm, patience and encouragement during this

    study. Thanks to his excellent direction, I could explore new field of knowledge and

    complete my Ph.D. study.

    I would also like to express my gratitude to Dr. Daniel C. Haworth, Dr. Randy L.

    Vander Wal and Dr. Yaw D. Yeboah for their valuable comments and suggestions to

    improve the quality of my research and dissertation as my committee.

    I also want to thank Dr. Magin Lapuerta Amigo from University of Castilla-La

    Mancha, Spain and Dr. John R. Agudelo from Universidad de Antioquia, Colombia for

    their generous help and instructions in the work of soot oxidative reactivity and engine

    efficiency analysis.

    I also want to thank Dr. Joseph M. Perez and his tribology group in the

    Department of Chemical Engineering for their generous help in the lubricant analysis.

    I also want to thank my group members at the Diesel Combustion and Emissions

    lab for their help. In particular, I am grateful to Vince Zello, Greg Lilik and Bhaskar

    Prabhakar for their help in the engine test stand, to Chenxi Sun for her help in soot TEM

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    imaging, to Eduardo Barrientos for his help in TGA operating, to Dongil Kang and

    Vickey Kalaskar for their general help and discussions during my research.

    I also want to thank Dr. Dania A. Fonseca for her generous help in GC analysis

    and Joe Stitt for the Raman spectroscopy analysis in the Material Characterization Lab.

    I want to give my special thanks to my family for their support during my work.

    The financial support and valuable discussions from Infineum, USA, GE

    Transportation, Volvo Powertrain and Oak Ridge National Lab are heartilyacknowledged.

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    1

    Chapter I. Introduction

    Since it was first developed in the late 19th century, the diesel engine has been

    widely used in heavy duty transportation for its higher output torque and brake thermal

    efficiency than gasoline engine [1]. Through the past century, although the fundamental

    design of the diesel engine hasnt been significantly changed, the regulation for diesel

    engine exhaust emissions, including carbon monoxide (CO), unburned hydrocarbon

    (UHC), nitrogen oxides (NOx) and particulate matter (PM), are becoming increasingly

    strict. Among these exhaust gases, the amount of CO and UHC from conventional engine

    operating mode are much lower than NOx and PM, therefore the latter are more of

    interest to regulators and researchers. Table I-1presents the current and future planned

    emission regulations for both light duty and heavy duty vehicles from authorities

    including environmental protection agency (EPA) and California government. Significant

    difficulties can be expected for current emission control technologies. For example, the

    EPA Tier 2 Bin 5 NOx regulation is likely beyond the reach of todays de-NOx

    aftertreatment considering cold start, and in 2010 only 30% of current new cars in

    California are able to meet the SULEV program [2]. For heavy duty transportation, very

    few engines before 2010 are able to meet the US 2010 regulation [3], i.e., most on-road

    engines need to be improved in emission control.

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    Table I-1: Emission regulation for light and heavy duty diesel engines [3]

    Light duty

    (EPA Tier2)

    NOx(g/mile)

    PM(g/mile)

    CO(g/mile)

    HCHO(g/mile)

    Bin 5 (2009

    effective)

    0.07 0.01 4.2 0.018

    Bin 4 0.04 0.01 2.1 0.011Bin 3 0.03 0.01 2.1 0.011Bin 2 0.02 0.01 2.1 0.004Bin 1 0 0 0 0

    Light duty(California)

    SULEVprogram

    0.02 0.01 1 0.004

    Heavy dutyNOx(mg/kWh)

    PM(mg/kWh)

    CO(mg/kWh)

    NMHC(mg/kWh)

    US 2010 260 13 - 182

    In addition to the emission regulation, current engine technologies are also facing

    the challenge of sustainable development. Given that it is widely believed that the fossil

    energies coal and petroleum, which have supported the past 200 years industrial

    development may not be sufficient to satisfy the increased need for energy in the future,

    studies on energy sustainability are more and more popular. Typically, sustainable

    energy development involves three aspects: energy saving on demand side, replacement

    of fossil fuel with renewable fuels and efficiency improvement in energy applications [4].

    For engineering practice, the evaluations of applications of renewable fuels and

    efficiency improvements are especially important, which is therefore the focus of the

    present work. With respected to diesel engines, evaluation of biodiesel (primarily on the

    emission impact as discussed previously) as a renewable fuel and engine thermal

    efficiency improvements are investigated.

    Biodiesel is a fuel which is comprised of monoalkyl esters of long chain fatty

    acids derived from vegetable oils or animal fats [5], and it has been studied as an

    alternative fuel to petroleum diesel for compression-ignition engines, both in neat form

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    (i.e., 100% esters) or in blended form with diesel fuel [6]. Compared with petroleum

    diesel fuel, biodiesel has many advantages: it is renewable and biodegradable; it has a

    high flash point which improves transportation safety [7]; and it can reduce exhaust

    levels of some regulated emissions including CO, UHC and PM [8-11]. However, some

    disadvantages of biodiesel are limiting the growth of its usage, such as decreased

    oxidative stability [12], degraded cold-flow performance compared with petroleum diesel

    [7], and increased emissions of NOx [8-11, 13]. Among these, the increase of NOx

    emissions has especially drawn researchers attention and attempts to explain the origin

    of the biodiesel NOx effect have been made [14-18], which may contribute to potentialapproaches to biodiesel NOx reduction.

    Traditionally, there are two ways for control of tailpipe NOx emissions: control of

    in-cylinder combustion, and after treatment devices like NOx absorber catalysts and

    selective catalytic reduction [19, 20]. The former can be affected by a variety of factors

    including the physical and chemical properties of fuel, the engine control strategy (e.g.

    fuel injection control), exhaust gas recirculation (EGR) ratio, and boost pressure. The

    latter can be affected by the type of catalyst, exhaust gas composition and temperature of

    the treatment device. The interest of this work focuses mainly on the engine in-cylinder

    combustion control via fuel injection strategy, i.e., the impact of start of injection (SOI),

    fuel injection pressure, fuel injection duration and multiply injections on the combustion

    and, consequently, engine emissions.

    Experiments conducted by previous researchers have shown that fuel injection

    strategy can significantly affect engine emissions [21, 22]. For instance, it has been

    shown that advancing the SOI can increase NOx emissions and decrease PM emissions

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    [21, 23]. Note this observation was also claimed to contribute to the biodiesel NOx effect

    in traditional mechanical (pump line nozzle type) fuel injection systems [23] given that

    biodiesel has a higher bulk modulus of compressibility. Nevertheless, the modern

    common-rail injection system will not be affected by the fuel compressibility [13]. Fuel

    injection pressure can also significantly affect the engine emissions. Increased fuel

    injection pressure can increase NOx emissions and decrease PM emissions [19, 20]. This

    observation is of special interest with biodiesel fuel. Since biodiesel has a lower heating

    value than petroleum diesel [24], a higher brake specific fuel consumption (increased

    injection quantity per unit time) for biodiesel is observed [6], and the default enginecalibration will achieve the increased injection quantity by increasing both the injection

    pressure and the injection duration. Therefore, this work also intends to investigate which

    is the more significant factor for the biodiesel NOx effect: biodiesels chemical properties,

    increased injection pressure or increased injection duration. Furthermore, it has been

    reported by many researchers that multi-injection strategy, especially multi-injection with

    post injection [a fuel injection considerable after top dead center (ATDC)], can improve

    engine emissions [13, 25-30]. Therefore, a thorough investigation of the post injection

    strategy is also conducted in this work.

    The other aspect of sustainable energy development efficiency improvement in

    energy applications (i.e., brake thermal efficiency of a diesel engine) is also an interesting

    topic. Although biodiesel fueling introduces higher brake specific fuel consumption, the

    brake thermal efficiency of a diesel engine operating with biodiesel has been observed to

    be the same level as with diesel fuel [31]. Meanwhile, variation of fuel injection strategy,

    which consequently affects combustion phasing, can be a significant factor to affect

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    engine brake thermal efficiency [22]. Theoretical investigation by Hoppie et al. [32]

    suggests that neither the Otto nor the Diesel cycle is optimum for realistic engines, and an

    optimum rate of heat release may be attainable via hypergolic combustion. However, the

    artificial heat release profiles employed by them are not suitable for practical engineering.

    Hence in this work, the author applies an analysis of optimized heat release pattern,

    which can be controlled by fuel properties and engine injection strategy, intending to

    provide suggestions for high efficiency engine design. While it is acknowledged that

    other factors such as turbo, EGR system and aftertreatment devices can also affect the

    total brake thermal efficiency of a diesel engine, they are not included in the discussion ofthis work.

    In summary, this work investigates the impact of biodiesel fueling and fuel

    injection strategy, including start of injection, fuel injection pressure/duration and split

    injection on diesel engine emissions and performance. The origins of the biodiesel NOx

    effect and the change of NOx emissions by fuel injection strategy are investigated in this

    work. In addition, a theoretical attempt to achieve high engine efficiency by optimizing

    the apparent heat release pattern is also conducted in this work.

    Objective:in this work the intention is to understand the relation between engine

    emissions, biodiesel fueling and fuel injection strategy. The significance of factors

    contributing to the biodiesel NOx effect is evaluated. In this work it is also intended to

    understand the impact of post injection on lubricating oil dilution with biodiesel fueling,

    and the impact of fuel injection pressure on diesel engine soot characteristics. The

    optimized heat release pattern toward high engine thermal efficiency is also investigated.

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    Hypothesis:

    Main hypotheses of this work include:

    Biodiesel NOx penalty can be eliminated by engine fuel injection control

    The impact on NOx emission from engine fuel injection strategy control and

    biodiesel fueling can be explained by the equivalence ratio at autoignition

    zone near the flame lift-off length

    Biodiesel fueling can introduce lubricating oil dilution with post injection

    strategy

    Soot from high injection pressure has higher oxidative reactivity since the

    decreased soot precursor concentration can prolong the soot inception time.

    Optimized heat release design is a sharp peak at top dead center

    To achieve the objectives of this research plan, the study is divided into 5 tasks:

    Task 1: Investigation of the impact on engine emissions of both biodiesel fueling

    and injection strategy at different engine speeds and loads.

    Task 2: Investigation of the origin of engine NOx emission variations from

    biodiesel or injection strategy by evaluating the adapted spray model.

    Task 3: Investigation of the impact of post injection on engine emissions and

    lubricating oil dilution.

    Task 4: Investigation of the impact of fuel injection pressure on diesel engine soot

    oxidative reactivity with both diesel and biodiesel blends.

    Task 5: Investigation of optimized heat release pattern to achieve high engine

    thermal efficiency.

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    Chapter II. Literature Review

    2.1 Biodiesel background

    Throughout this thesis biodiesel implies a fuel composed of glyceride-free mono-

    alkyl esters of long-chain fatty acids converted from triglycerides such as biologically-

    based fats and oils [33-35]. In fact, attempts to use biologically derived hydrocarbons

    (not only biodiesel) in internal combustion engines have been conducted for more than a

    century. For instance, in 1900 when Dr. Diesel exhibited his great invention the Diesel

    engine at the Paris World Exposition for the first time, the engine was running on 100%

    peanut oil [33, 34]. From the 1920s to the 1940s numerous applications of vegetable oils

    as diesel engine fuels were reported simply based on the theme of providing tropical

    colonies of European countries with an independent source of fuel [36]. The more

    appropriate form of biologically-derived fuel (ethyl esters of palm oil), which meets the

    present definition of biodiesel, was initially included in a Belgian patent issued to

    Chavanne as early as 1937 [37]. However, the petroleum derived diesel fuel immediately

    became the primary fuel for diesel engines, and the concept of biologically-derived fuel

    hadnt drawn peoples attention until the 1970s due to the energy crises. Since then

    vegetable oil-based fuels have been reconsidered among the alternative energy sources.

    In addition, the feedstocks for biodiesel have also been expanded to a variety of vegetable

    oils including soybean, rapeseed, sunflower, etc., which also creates a variation in both

    physical and chemical properties of biodiesel [34].

    The production of biodiesel mainly follows the transesterification process, which

    can crack the large molecules (triglyceride) of vegetable oils/fats and transform them to

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    fatty acid methyl esters (FAME) with similar molecular weight as diesel fuel. Figure II-1

    presents a traditional transesterification process for biodiesel production. This reaction

    requires methanol as a reactant and alkali or acid as catalyst, and the by-product of the

    reaction is glycerol. Demirbas [35] proposes that the same reaction can also be promoted

    with supercritical methanol, with which no catalysts are needed, and consequently

    purification of the final product can also be simplified.

    Figure II-1: A diagram representing the transesterification process, replicated from[6]. The general scheme of the process is to modify a triglyceride (a fat or oil whichis a glyceride with three fatty acids, represented as R1, R2 andR3) into a fatty acidmethyl ester.

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    With different structures (length, saturation) in the fatty acid, the physical and

    chemical properties of FAME may vary. Table II-1presents the chemical structure of

    common fatty acids.

    Table II-1: Chemical structure of common fatty acids, taken from [38]

    Fatty acid Systematic name Structure* FormulaLauric Dodecanoic 12:0 C12H24O2Myristic Tetradecanoic 14:0 C14H28O2Palmitic Hexadecanoic 16:0 C16H32O2Stearic Octadecanoic 18:0 C18H36O2Arachidic Eicosanoic 20:0 C20H40O2Behenic Docosanoic 22:0 C22H44O2

    Palmitoleic

    cis-9-Hexadecenoic

    Acid

    16:1 C16H30O2

    Oleic cis-9-Octadecenoic 18:1 C18H34O2

    Linoleiccis-9,cis-12-Octadecadienoic

    18:2 C18H32O2

    Linoleniccis-9,cis-12,cis-15-Octadecatrienoic

    18:3 C18H30O2

    - cis-11-Eicosenoic 20:1 C20H38O2*xx:yindicatesxxcarbons in the fatty acid chain withydouble bounds

    Although these FAMEs are found in biodiesel, the chemical composition of

    biodiesel is different if the biodiesel is derived from different feedstock, as shown in

    Table II-2. It can be seen that generally C16:0, C18:0, C18:1 and C18:2 are the major

    FAMEs species in biodiesel. In the United States, the primary feedstock for biodiesel is

    soybean oil [12], which predominantly contains unsaturated FAME C18:1, C18:2 and

    C18:3, as well as, a small amount of saturated FAME C16:0 and C18:0. The difference

    in physical and chemical properties of FAME can also be significant, as shown in Table

    II-3. Saturated FAME with a long chain always leads to higher melting point and

    kinematic viscosity, which is expected. However, the degree of saturation can

    significantly affect certain properties including melting point, oil stability index and

    cetane number.

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    Table II-2: Chemical composition of biodiesel derived from different feedstock, tak

    feedstockFatty acid composition (%)

    14:0 16:0 18:0 20:0 22:0 16:1 18:1 18:2

    Canola oil 0 4 2 0 0 0 61 22

    Palm oil 1 45 4 0 0 0 39 11

    Soybean oil 0 11 4 0 0 0 23 54

    Sunflower oil 0 6 5 0 1 0 29 58

    Corn oil 0 11 2 0 0 0 28 58

    Cottonseed oil 1 23 2 0 0 1 17 56

    Chicken fat 1 25 6 0 0 8 41 18

    Beef tallow 4 26 20 0 0 4 28 3

    Table II-3: Physical and chemical properties of common fatty acid methyl esters (FAME

    FAMEMelting pointa

    (C)

    Heat value

    (MJ/kg)

    Kinematic

    viscositybat 40 C

    (mm2/s)

    Oil stability indexc

    (h), at 110 CCetane N

    C14:0 19 39.45 3.3 >40 -

    C16:0 31 39.45 4.38 >40 86

    C16:1 34 39.3 3.67 2.1 51

    C18:0 39 40.07 5.85 >40 101

    C18:1 20 40.09 4.51 2.5 59

    C18:2 35 39.7 3.65 1 38

    C18:3 52 39.34 3.14 0.2 23

    a: Ref. [7, 40]; b: Ref. [41]; c: Ref. [7]; d: Ref. [7]; e: Ref. [42]

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    Although cetane numbers of the C18:2 and C18:3 FAMEs are relatively low, as a

    mixture, biodiesel is often observed to have a higher cetane number than petroleum diesel

    [39], which improves its performance in diesel engines. High unsaturation can improve

    the cold weather performance, but also significantly decrease the oxidation stability.

    Chemical properties of a fuel (e.g., hydrocarbon structure, aromatic content,

    cetane number) dominate the fuels effect on combustion and pollutant formation [43].

    Physical properties (e.g., viscosity, density) generally affect injection timing, fuel

    atomization and fuel evaporation, which eventually have indirect effects on combustion

    and emission formation. In other words, diesel engine may have a different responsewhen biodiesel is used. Table II-4presents a summary by Sun et al. [44] on the impact of

    soy methyl ester (SME) based biodiesel and its blend with petroleum diesel on physical

    and chemical properties and engine response. This summary also reveals the difficulty in

    biodiesel research that multi-parameters can change simultaneously with biodiesel

    fueling, so that the understanding of each parameters impact is not straightforward. For

    instance, the lower heating value of biodiesel can lead to an increase injection pressure

    and duration by the default engine calibration, which may also have impact on engine

    emissions [21, 22]. This issue will also be addressed in this work.

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    Table II-4: The effects of property differences between soy methyl ester biodiesel or its blend andparameters and fuel combustion. A positive/negative sign in the difference column mean

    positive/negative sign in the rest column means increase (or advance)/decrease (or retarding) of thDifference Injection

    timing

    Injection

    pressure

    Fuel spray

    penetration

    Fuel spray

    angle

    Fuel spray

    atomization

    Igniti

    delayPhysical Properties

    Liquid densitya + + + - - +

    Bulk modulus of

    compressibilityb

    + + + +

    Speed of sound + + + +

    Liquid viscositya + + - - +

    Surface tensiona + + + -

    Vapor pressurea - - - +

    Volatilityc - -

    Liquid specific

    heata

    - + -

    Vapor specific

    heata

    - + -

    Heat of

    vaporizationa

    + -

    Chemical Properties

    Chain length + -

    Oxygen contentc + + -

    Aromatics contente - +

    Sulfur content -

    Saturation (iodinevalue)d - +

    Cetane numberg + -

    Heating valuec -

    a: Ref [45]; b:Ref. [23, 46]; c: Ref. [47]; d: Ref.[48]; e: Ref. [49]; f: Ref.[15]; g: Ref. [50]

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    at the same time, the sustainability concept of biodiesel has also been criticized

    since the methanol needed for biodiesel production majorly comes from petroleum [35].

    Nevertheless, approximately 95% of the carbon in biodiesel are derived from renewable

    sources such as oil and fat [33]. Hence, it is still of interest to investigate the impact of

    biodiesel on engine emissions and performance to approach the future of sustainable

    energy.

    2.2

    Impact of biodiesel fueling on engine emissions

    The review by Graboski and McCormick in 1998 [6] and a more recent review by

    Lapuerta et al. in 2008 [15] show consistently that the majority of diesel engine tests with

    biodiesel fueling show reductions of exhaust levels of some regulated emissions

    including unburned hydrocarbons (UHC), carbon monoxide (CO), and particulate matter

    (PM), but increases of emissions of nitric oxides (NOx). For example, Figure II-2shows

    the statistical analysis of trends of the impact of biodiesel blending on emissions from

    heavy-duty engines, conducted by the Environmental Protection Agency (EPA) [51].

    However, despite the statistical analysis by the EPA, the impact of biodiesel on engine

    emissions as observed in Figure II-2may be limited to certain engine conditions: in this

    case it is a heavy-duty truck engine on highway. The understanding of biodiesels impact

    on diesel engine emissions requires a thorough investigation of previous engine studies.

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    Figure II-2: NOx, PM, CO and HC % changes as biodiesel blending percentageincrease as determined by the EPA through statistical regression of publicallyavailable data on highway heavy-duty truck engines [18, 51]. Taken from [44]

    In addition, as discussed in the introduction, since NOx and PM emissions from

    current technology diesel engines are close to the limits permitted by regulation and both

    limits will be even more stringent in the near future, these two emissions will be critical

    factors in the development of new diesel engines and aftertreatment systems. For the

    other regulated emissions, CO and UHC, no further development in engine technology

    seems to be necessary to meet future limits [15].

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    2.2.1 Nitric oxides (NOx)

    In their comprehensive review, Lapuerta et al. [15] states that a majority of the

    literature report an increase of NOx emissions with biodiesel use and a minority of other

    observations. In this sense, they divide the impact of biodiesel fueling on NOx emissions

    into 4 groups:

    Group I: Increase.

    Group II: Increase only in certain operating conditions

    Group III: No significant difference

    Group IV: Decrease with biodiesel fueling

    Similar categorization is also adapted in another review by Sun et al. [44], except

    that they claim that the majority of the literature they reviewed reported inconsistent

    trends in the effect on NOx emissions from the use of biodiesel, in other words,

    considering the distribution of engine configurations and operating conditions, it is

    difficult to arrive at a deterministic conclusion on the impact of biodiesel fueling on NOx

    emissions. Nevertheless, observations associated with engine configurations and

    operating conditions are still meaningful for biodiesel research.

    Group I: In Graboski and McCormicks review [6] of ten older two-stroke engines

    running with biodiesel derived from soy and rapeseed, all engines running with rapeseed-

    oil biodiesel show a consistent increase in NOx emissions, and two third of the engines

    running with soybean-oil biodiesel show a consistent increase in NOx emissions. The

    remaining one third engines running with soybean-oil biodiesel showed both increases

    and decreases in NOx emissions depending on the operating conditions, which should be

    categorized into Group II. FEV Engine Technology [52] carried out an experimental

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    study in a 7.31L Navistar engine running the 13-mode US Heavy-Duty test cycle using

    different soybean blends and observed a maximum of 8% increase in NOx emissions

    with B100. Marshall et al. [53] tested a Cummins L10E engine under steady conditions

    with different biodiesel blends, and a maximum of 16% increase in NOx emissions was

    observed with B100. However, in their transient test condition B20 blend gave a higher

    increase in NOx emissions than B30. Szybist et al. [14] tested a Yanmar L70 EE air-

    cooled, four-stroke, single cylinder direction injection diesel engine operating at steady

    3600 rpm and 75% load and reported around 10% increase in NOx emissions with pure

    soybean-oil biodiesel. Other experiments have reported increased NOx emissions withbiodiesel fueling [18, 54, 55].

    Group II: Some authors claimed that the effect of biodiesel on NOx emissions

    depends on the type of engine and its operating conditions. Serdari et al. [56] tested on-

    road emissions from three different vehicles using high sulfur diesel fuel (1800ppm) and

    10% sunflower-oil biodiesel blends. They found both increases and decreases in NOx

    emissions, and attributed such differences to the different engine technology and

    maintenance conditions. Hamasaki et al. [57] tested a single-cylinder engine at 2000 rpm

    and different loads with three waste-oil biodiesel fuels. They measured slight decreases in

    NOx emissions at low loads but increases at high loads. Similar observations have also

    been reported by Zhang and Boehman [13]. They conducted an experiment in a

    DDC/VM Motori 2.5L, 4-cylinder, turbocharged, common rail, direct injection light-duty

    diesel engine and found that NOx increases with biodiesel fuel were only observable at

    high engine load. At low engine load, no significant difference in NOx emissions can be

    observed between the baseline diesel, B20 and B40. Yehliu et al. [25] conducted

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    experiments in the same engine with a thorough investigation of different load and speed

    conditions, and found that at high speed and low load, biodiesel fueling decreased NOx

    emissions. Staat and Gateau [58] tested a 6-cylinder engine following the ECE R49 test

    cycle and an urban transient cycle named AQA F21 established by the French Agency of

    Air Quality. They observed a 9.5% increase in NOx emissions in the ECE R49 cycle, yet

    a 6.5% reduction in the transient urban cycle. The above observations appear to be

    consistent with the review by Tat [59], that NOx emissions with biodiesel fuels are

    usually higher than those from diesel fuel when they are measured in an engine test bench

    but not when they are measured from vehicles. Tat [59] attributed this observation to thereason that engine loads are usually lower in vehicles than those imposed in experimental

    test rigs. Similar observations have also been reported by McCormick [60, 61] who

    measured NOx emission reductions of around 5% when using 20% soybean-oil biodiesel

    blends.

    Attempts have been made to explain these conditional biodiesel NOx effects. Li

    and Gulder [62] claimed that the higher cetane number of biodiesel has a more sensible

    effect on NOx emission at low load than at high load. However, this understanding may

    no longer work when high-cetane ultra low sulfur diesel (ULSD) fuel is used instead of

    the conventional low sulfur diesel fuel, i.e., blending of biodiesel with ULSD may not

    significantly change the cetane number of fuel. Tat [59] proposed another explanation:

    the injection pump tended to advance the injection timing at low load, but he observed

    that this advance was higher with diesel than with biodiesel fuel in a certain load range,

    leading to increased NOx emissions with diesel fuel at these load condition. This

    explanation, however, is not applicable for diesel engines with a common-rail injection

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    system, whose start of injection is well controlled and consistent for both petroleum

    diesel and biodiesel, as in [13, 25, 63]. Although the same authors attributed the NOx

    reduction with biodiesel to the specific engine configuration, it might arise from the

    decreased apparent heat release from premixed combustion with biodiesel [63], due to its

    lower energy content and a shortened ignition delay.

    Group III: Durbin et al. [64] tested four different engines with diesel, pure

    biodiesel and a 20% biodiesel blend. The engines were chosen to represent a wide variety

    of heavy-duty engines: turbocharged and naturally aspirated, direction and indirect

    injection, and no significant differences in NOx emissions were found. Mandpe et al. [65]tested a Euro III emission certified common-rail diesel engine on road with Jatropha

    Curcas seed oil biodiesel and found no significant difference in NOx emissions between

    biodiesel and petroleum diesel. Nabi et al. [66] conducted an experiment with a single-

    cylinder 9.8 kW engine at steady-state with neem-oil biodiesel at different EGR ratios.

    Although they observed decreased NOx emissions with increased EGR ratio, they found

    no significant differences in NOx emissions between diesel and biodiesel. As suggested

    by Lapuerta et al.[15], the observation by Nabi et al. [66] may be actually due to the low

    unsaturation level of neem oil, since Graboski et al. [67] have shown that NOx emissions

    increased with unsaturation.

    Group IV: A minor number of papers have reported decreases in NOx emissions

    when using biodiesel fuels. Armas et al. [63] conducted an experiment in a DDC/VM

    Motori 2.5L, 4-cylinder, turbocharged, common rail, direct injection light-duty diesel

    engine at high speed and low load, with different start of injection. For each start of

    injection they also fine-tuned the ECU to match the combustion phasing between

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    biodiesel blends and baseline diesel. They found slight NOx reduction with biodiesel

    consistently for all start of injection timings. Lapuerta et al. [68] tested pure and blended

    biodiesel from sunflower and cardoon oils in an indirection injection 1.9L engine

    operating at five selected steady modes, and they observed a slight decrease in NOx

    emissions with biodiesel.

    Overall, although no unanimity has been found, the majority of observations in

    the literature show a slight increase in NOx emissions with biodiesel fueling. Under

    certain conditions, no significant difference or decreased NOx emissions were observed

    with biodiesel, which was likely due to specific engine configuration or fuel composition,which suggests that such results are not generally representative.

    2.2.2 Particulate Matter (PM)

    It has been consistently reported in the literature that a noticeable decrease in

    diesel PM emissions can be observed with biodiesel fueling [6, 8, 9, 11, 58, 69-72]. The

    Environmental Protection Agency collected a number of engine emissions data with

    biodiesel [51] and proposed a statistical correlation between PM emissions level and

    biodiesel blending:

    0.006384 %B

    D

    PMe

    PM

    = (1)

    whereD

    PM

    PMindicates the PM emission ratio between biodiesel and diesel, and %B is the

    biodiesel blending level in percentage. The shape of Equation (1) can be also seen in

    Figure II-2.

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    This trend proposed by EPA suggests that the maximum PM emission reduction is

    around 50% with pure biodiesel. This observation is consistent with several other

    investigations [54, 69, 73-75]. Other authors found even higher PM emission reductions

    with biodiesel. Van Gerpen and Canakci [76] observed as high as 65% reductions of PM

    emissions with soybean oil and waste oil based biodiesel fuels. Schumacher et al. [77]

    tested PM emissions from a DDC series 60 diesel engine and reported more than 60%

    PM emission reduction with biodiesel.

    The reductions in PM emissions have been shown in general, as being more

    effective with lower biodiesel concentrations in the blends [15]. In other words, thereduction of PM emissions for each percentage of biodiesel blending, i.e., relative

    reduction, has been observed to be the highest for partial blends [78-81].

    The effects of biodiesel on PM emissions together with other parameters, such as

    engine configurations and load conditions have also been investigated. In the review by

    Krahl [82] on diesel engine tests with rapseed-oil biodiesel, the authors found that the PM

    emission reductions were lower ( or there were no significant reductions) in heavy-duty

    engines than in light-duty engines. Lapuerta et al. [79] investigated the PM emissions of a

    typical European passenger car diesel engine operating at low-middle load conditions

    and found that the PM emission reduction with biodiesel is larger at low load. Contrary

    observations have also been reported [83]. Leung et al. [84] tested a single-cylinder

    engine with a diesel fuel and a pure rapeseed oil based biodiesel at different load

    conditions. They found larger decreases for biodiesel at high load. In addition, the

    property of diesel fuel can also affect the NOx reduction by biodiesel. Boehman et al. [75]

    reported a PM emission of 20% blending soybean oil based biodiesel with both low

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    sulfur diesel (325 ppm sulfur) and ultra low sulfur diesel (15 ppm sulfur) and found that

    the reduction of PM emissions by biodiesel is more significant for low sulfur diesel.

    Similar observations have also been reported [51].

    A small number of studies did not find significant reductions (or even found

    slightly increases) in PM emissions. Armas et al. [63] found increased PM emissions in

    their experiment with a DDC/VM Motori 2.5L, 4-cylinder, turbocharged, common rail,

    direct injection light-duty diesel engine at high speed and low load. Boehman et al. [75]

    found a slight increase of PM emission for soybean oil based biodiesel blending with

    ultra low sulfur diesel. Similar observations that PM emissions were increased withbiodiesel have also been reported in other places [74, 85]. This phenomenon has been

    generally attributed to the higher soluble organic fraction (SOF) of the particulate [63,

    75], which is widely accepted to be increased when using biodiesel [6, 67, 69, 74, 77] due

    to its lower volatility of the unburned hydrocarbons (Table II-4). Meanwhile, the

    insoluble fraction (ISF) was decreased with biodiesel fueling [75].

    In summary, it is widely accepted that biodiesel fueling can decrease the PM

    emissions of diesel engine. Therefore, it has been suggested that this impact of biodiesel

    on PM emissions may be combined with engine injection strategy to optimize the NOx-

    PM emission trade-off [15].

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    2.3 Origin of biodiesel emission effect

    2.3.1 Biodiesel NOx effect

    NOx formation chemistry:

    To identify the factors that can affect NOx emissions, it is necessary to understand

    the mechanism of NOx formation. Although a large number of reactants and reaction

    pathways have been found to participate during NOx formation [86, 87], the key

    reactions at the pressure, temperature and time scales in a diesel engine consist of three

    major reactions [86], referred as to the extended Zeldovich mechanism:

    1

    2

    3

    2

    2

    k

    k

    k

    N O NO N

    O N NO O

    OH N NO H

    + +

    + +

    + +

    (2)

    Typically the time scales in a diesel engine do not allow these reactions to reach

    equilibrium. Therefore, longer residence time of in-cylinder gases at high temperature

    (above 1800K since the thermal NO formation below 1800K is generally negligible [87])

    can lead to higher NOx emissions. A simple second order kinetic expression can be used

    to describe the NO formation when its concentration is below equilibrium:

    1 2 2 2 3

    [ ][ ][ ] [ ][ ] [ ][ ]

    d NOk O N k O N k OH N

    dt= + + (3)

    where [NO], [O], [N2] and [OH] are the molar concentrations of NO, O, N2 and OH,

    respectively. The rate constant k can be generally expressed as [88]:

    exp( ), 1,2,3i aii iu

    Ek BT i

    R T

    = = (4)

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    where Bi, i, Ruand Eaiare constants for each ki. Equations 2 and 3 suggest that the key

    parameters that control the NOx formation include: 1) concentration of O-atom, N2, N-

    atom and OH, 2) in-cylinder temperature, or 3) the residence time of the in-cylinder

    mixture at high temperatures. Hence, any variation in NOx emissions must be related to

    one or more of the above factors.

    Biodiesel NOx effect:

    To date, a significant number of studies have been conducted in the attempt to

    explain the NOx variation and to identify the key parameters that affect it when

    alternative fuels (e.g., biodiesel) are used, both from experiments [14, 15] and numerical

    simulation [16, 17, 89]. Literature reviews by Mueller et al. [18], Lapuerta et al. [15] and

    Sun et al. [44] have discussed the various proposed hypotheses that may account for

    engine NOx variation with biodiesel fueling, which can be summarized into seven

    categories:

    (1) Injection timing. Alternative fuels have different compressibility than

    petroleum diesel. For example, biodiesel has higher bulk modulus of

    compressibility while FT diesel has lower bulk modulus of compressibility [23].

    A higher bulk modulus can lead to a faster traveling of the pressure wave in the

    fuel line of pump-line-nozzle fuel injection systems, causing an advance in the

    start of injection (SOI) that can consequently lead to a longer residence time

    and/or higher in-cylinder temperature. The advanced SOI of biodiesel and

    retarded SOI of FT diesel have been observed to affect the NOx emissions [23, 90,

    91]. Although this factor has been considered as the most solid argument for the

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    biodiesel NOx effect [15], the injection timing of a modern common-rail injection

    system is not affected by the bulk modulus of compressibility of the fuel [13].

    (2) Injection pressure and fuel spray. The lower heating value of biodiesel

    results in an increase in the brake specific fuel consumption, which will be treated

    as an increase of the fuel injection pressure/duration according to default engine

    calibration [55]. This change in fuel injection parameters can yield an increase in

    NOx emissions [21, 22]. Furthermore, the change of fuel properties, e.g. viscosity,

    density and surface tension when biodiesel is used can increase the average

    droplet diameter [92], leading to a lengthened ignition delay as well as a possiblylonger diffusion combustion period [6].

    (3) Combustion phasing. That biodiesel can increase NOx emissions also can

    be due to its impact on combustion phasing. The higher cetane number of

    biodiesel can advance the start of combustion (SOC), which may lead to longer

    residence time at high temperature for the combustion products [18]. However, as

    discussed previously for FT diesel, some authors also claim that the NOx

    reduction is due to its higher CN [25, 63, 91, 93] since very high CN indicates

    short ignition delay, leading to less premixed burning [94, 95]. This inconsistency,

    that both biodiesel and FT diesel have increased CN, leads to different direction in

    change of NOx emissions, suggests that the impact of high cetane number on

    NOx emissions is a combination of two effects.

    (4) Premixed-burn fraction. The fact that biodiesel contains oxygen increases

    the premixing quality (since fewer oxidizer molecules are required to reach

    stoichiometric proportion) during the ignition delay, resulting in better

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    combustion and higher temperature. The oxygen content in biodiesel also

    increases the local oxygen concentration, which can promote NOx formation as

    discussed previously. Song et al. [96, 97] tested oxygenated diesel fuel (via

    oxygenated fuel additives) and found increases in NOx emissions. However, this

    explanation is questioned by other authors [68, 69, 89]. In addition, this

    explanation is not suitable for FT diesel since it does not contain oxygen in the

    fuel.

    (5) Kinetics. Different chemical kinetic pathways for NOx formation exist for

    different fuels. For example, it is argued that an increased level of CH exists at theautoignition zone (AZ) during biodiesel combustion [98], which leads to the

    production of N-atoms in the jet core as well as the promotion of NOx formation.

    (6) Adiabatic flame temperature. Some authors claimed that biodiesel has a

    slightly higher adiabatic flame temperature than conventional diesel, so thermal

    NOx production is higher [16, 69, 99]. Although the decreased NOx emissions for

    FT diesel appears to be consistent to this theory: FT fuel has a lower adiabatic

    flame temperature [100], due to its lower C/H ratio [101], than the petroleum

    diesel fuel. No unanimity can be found for the biodiesel since others state that the

    adiabatic flame temperature is higher for diesel fuel [44, 66, 102].

    (7) Radiation heat transfer. Soot radiation is the primary means of heat loss

    from an in-cylinder flame. It has been suggested that since biodiesel can decrease

    the PM emissions, the actual flame temperature is higher, leading to an increase

    of NOx formation [103]. However, it has been suggested that soot emissions may

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    not correlate with flame luminosity and the soot radiation appears to be smaller

    than other effects [18].

    Mueller et al. [18] also pointed out that the biodiesel NOx increase is related to a

    number of coupled mechanisms, which also have influences on each other, rather than a

    single phenomenon. Note that many of those mechanisms are affected by both fuel

    properties and engine operating conditions. For example, the premixed-burn quality can

    be affected by the droplet size, which is controlled not only by the injection strategy and

    fluid surface tension [1], but also by the difference in the rate of mass transfer during the

    injection of the multi-component fuel [104]. Among those mechanisms, Mueller et al. [18]suggest that the most important ones responsible for the biodiesel NOx increase are

    longer residence time and higher in-cylinder temperature from either advances in

    combustion phasing or lower radiative heat loss. They proposed, based on the models

    established by Siebers and Naber [105, 106], that the origin of the NOx increase with

    biodiesel is based on reacting mixtures that are closer to stoichiometric (less rich) for

    biodiesel-containing fuels: a) during ignition (i.e., during the premixed volumetric

    autoignition event from the start of combustion to the end of premixed burning), and b) in

    the standing premixed autoignition zone (AZ) near the flame lift-off length (LOL) at

    higher loads. According to Mueller et al. [18], this is so far the most generalized

    explanation which is consistent with the observations from biodiesel, high cetane number

    diesel and engine load conditions. In additional to their heavy-duty single-cylinder engine

    test, in this work this theory will be tested with a light-duty diesel engine for the impact

    of both biodiesel and engine fuel injection strategy.

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    2.3.2 Biodiesel particulate matter effect

    As discussed previously, it is widely accepted that biodiesel can decrease the PM

    emissions. It is also believed that the factors contributing to the PM emission reductions

    include:

    Oxygen content in biodiesel: the oxygen content of the biodiesel molecule,

    which can promote complete combustion even in regions of fuel-rich diffusion

    flames, has been believed to contribute to the PM emission reduction with

    biodiesel [107]. Song et al. [96, 97] tested oxygenated diesel fuel (via oxygenated

    fuel additives) in a VW turbocharged direct injection diesel engine, and found

    decreased PM emissions with increased oxygen content of fuel for both engines.

    Similar observation has also been reported by Frijters and Baert [108]. Sison et al.

    [109] tested different oxygenates, including biodiesel, with diesel fuel in a single-

    cylinder optically accessible diesel engine and observed decreased soot formation.

    The kinetic model developed by Flynn et al. [110] based on the conceptual model

    of Dec [111] suggested that a sharp decrease in the formation of soot precursors

    would be observed when the oxygen content in the fuel increased: as the oxygen

    content of the fuel increased, larger fractions of the fuel carbon were converted to

    CO in the rich premixed region, rather than to soot precursors.

    Absence of aromatics in biodiesel: The aromatic content in petroleum

    diesel fuel has been considered to serve as soot precursors [69, 71, 112, 113]. This

    can be investigated in two ways: 1) decrease the aromatic content in petroleum

    diesel, (Schmidt and Van Gerpen [113] artificially blended diesel fuel with

    octadecane (C18H38) and observed a significant reduction in PM emissions.); 2)

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    increase the aromatic content in biodiesel. Mueller et al. [18] doped the pure

    biodiesel with phenanthrene, a 3-ring aromatic species, and compared the

    emissions at both decreased oxygen environment and normal air environment

    with a heavy-duty single-cylinder optically accessible diesel engine. They found

    increased PM emissions for all load conditions for the doped biodiesel in a

    decreased oxygen environment. With a normal air environment, the doped

    biodiesel has an increased PM emission only at low-moderate load condition.

    Other authors have treated both the oxygen content and absence of aromatics in

    the biodiesel to the PM emission reductions [114, 115].

    Higher oxidative reactivity of biodiesel soot: Boehman et al. [75] collected

    the particulate matter from the exhaust of a six-cylinder Cummins ISB 5.9L direct

    injection turbocharged diesel engine, with both diesel fuel and a 20% blend

    soybean oil based biodiesel, and then they employed thermogravimetry to analyze

    the oxidative reactivity of the soot particles (de-volatized particulate matter).

    They found that the soot particles for B20 are more reactive than for diesel fuel,

    which suggests that the particulate matter will be more rapidly consumed by the

    oxidation in the exhaust, leading to decreased PM emissions. Song et al. [116]

    expanded this observation to pure biodiesel and used high resolution transmission

    electronic microscopy (TEM) technique to confirm the faster oxidation of the soot

    for pure biodiesel. Yehliu et al. [117] applied a counting algorithm to identify the

    initial nanostructure of soot particles from high resolution TEM images, and they

    found more short and curvy graphene layers in soot from biodiesel combustion,

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    i.e., it has a higher oxidative reactivity due to its higher degree of disorder [118-

    120].

    There have been other explanations proposed for the biodiesel PM effect, as well.

    For instance, biodiesel can introduce an advance of combustion either due to advanced

    injection timing [90] or higher cetane number [102] can prolong the residence time of

    soot particles in a high-temperature atmosphere, which in the presence of oxygen

    promotes further oxidation [72, 112]. Others also claimed that the usually lower final

    boiling point of biodiesel provided lower probability of soot or tar being formed from

    heavy hydrocarbon fractions unable to vaporize [69]. High sulfur content of diesel fuelhas also been suggested as a reason for its high PM emissions [121]. Nevertheless, these

    explanations have been believed to be insignificant [108, 115, 122], as well as not

    applicable since new fuel standards came into effect.

    2.4

    Fuel Injection strategy with biodiesel fueling

    Fuel injection strategy is an important aspect in the optimization of diesel engine

    missions. For instance, in earlier discussion the significant impact of injection timing and

    injection pressure on engine NOx emissions has been shown. Some studies have

    attempted to optimize diesel engine combustion with biodiesel fuel by adjusting the

    injection strategy to improve exhaust emissions [123, 124]. Generally speaking, for

    conventional diesel combustion, the control of fuel injection strategy includes three

    aspects 1) injection timing (or start of injection); 2) injection pressure or injection

    duration; 3) number of fuel injection. Among those, although the advance of injection

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    timing with biodiesel fueling was a concern for earlier engine research, it is now believed

    as an insignificant factor for modern engines with common-rail fuel injection systems

    [13]. The application of common-rail fuel injection systems also provides availability of

    multiple fuel injection design, which has become a fuel injection strategy. A large

    number of researchers have found that multiple fuel injections can reduce engine NOx

    emissions [125-129]. However, some authors observed increased hydrocarbon emissions

    and slight decreased engine thermal efficiency with multiple fuel injections [25]. In

    addition, the complex combustion behavior of multiple fuel injections is not suitable for

    fundamental engine combustion study, and therefore it is not a main focus in the fuelinjection strategy investigated here. Nevertheless, multiple fuel injections with post

    injection, which is a fuel injection event considerably after top dead center (TDC) will be

    investigated in this work and discussed in a later section.

    Meanwhile,