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Using DoE in R&D ProjectsA Practical Case Study
Ron Stites
Stites & Associates, LLC
Ron Stites
• Former Director of Research for Range Fuels
• Three US Patents in Alternative Fuels
• Analytical Chemist -- BS Chemistry KU
• MBA Finance and Accounting
• Independent Consultant in Research Management – Consulting Since 1996
Email: [email protected]: Ron StitesBlog: http://tek-dev.typepad.com/technology-development/Main Lab: Brighton, CO, USA
Context
• Industrial R&D– Questions are Fairly Well Defined
– Results Can be Translated into Financial Benefit
– An “Application” NOT “Pure Science”
– Cost Well Monitored
– Cost versus Financial Benefit a Frequent Discussion
– Generally in the Area of “Sustaining Technology” and not “Disruptive Technology”
• Evolutionary or
• Revolutionary
For Society – Success of Industrial R&D as Critical as Academic and Government Sponsored R&D
The Unique Nature of R&D Projects
• In General – Many Unknowns
– Key Factors
– Key Results
– Causal Relationships
– Value of Solution
– Real Budget
– Real Time Line
– Real Goals
Technical
Programmatic
It is often the Case that there is LESS Time and Money than
Officially Budgeted
Where to Start?
• Problem/Opportunity Definition– What is the Purpose of the Project?
– What does a Successful Project Look Like?
– What Factors are Important?
– What Results Need to be Measured?
– What is the Necessary Time-Line?
– What has been Done in the Past?• Internal
• External
– Can We Put into Writing Something that Seems “Do-able?”• Research Plan
• Project Charter/Plan
This is an Intuitive Process that is Messy but MUST NOT be Skipped
What Next?
• Evaluate the Factors and Results Desired– Do Measurement Techniques Exist?– Do We Know the Ranges of Interest?– Do We Know the Required Accuracy and Precision?
• Two Separate Questions
• Can We State Measureable Hypotheses About the Relationships Between Factors and Results?
• Are We Ready for a DoE?– What are the Gaps?
In Many Cases the Answer is NO!Often New (or Modified) Measurement Techniques are Needed
These Must be Developed and Tested – Again in a more Intuitive Fashion
Guidance for Starting from Scratch
• Keep it Simple• Keep it Cheap
– Avoid Going Directly to the Lab – Go to the Library First– Avoid Buying the “Quantum Electromechanical Nuclear Pile” to
Measure pH – Use pH Paper to Start– Don’t Spend More than about 25% of Budget on First Try
• Keep it Moving Forward– Gets Bits of Knowledge at a Time– Keep Trying Things and Taking Good Notes
• Keep Evaluating– What are the Gaps?– Be Honest – Even Cynical about what You “KNOW”
Case Study
The Situation:• Industrial Equipment Supplier• Selling an Existing Devise into a “New” Market
– Corn Ethanol– Not Much Known About Corn Ethanol Technology
• Devise is Known to Mix and Heat Slurries Well• Anecdotal Evidence that the Devise “Improves Ethanol
Yield”– Some Inconsistency in Data – “Art”– Expensive to Test at Plant
• Hope to Learn How the Devise Works to Improve Consistency of Performance
Preliminary Work
Learn About Corn Ethanol Technology
• Starch to Glucose to Ethanol– NOT Sugar Directly to Ethanol
• Key Opportunity is in Breakdown of Starch
• Key Gap is Measuring the Breakdown of Starch to Glucose– Stepwise
• Starch to Maltodextrins
• Maltodextrins to Glucose
OH
OH
O
H
H
H
H
H
HO
CH2OH
~O
6
54
3 2 1
Many 1-4 α Glucoside Bonds
OH
OH
O
H
H
H
H
H
HO
CH2OH
HO
6
54
3 2 1
OH
O
O
H
H
H
H
H
HO
CH2OH
~O
6
54
3 2 1
OH
OH
O
H
H
H
H
H
HO
CH2OH6
54
3 2 1
- H2O (Dehydration)
Forming Long Chains Results in Starch
Amylose in Particular (DP 300 to 3000)
Only 1 “Reducing End” per Chain
OH
OH
O
H
H
H
H
H
HO
CH2OH
~O
6
54
3 2 1
Additional 1-6 α Bond Branching
OH
O
O
H
H
H
H
H
HO
CH2OH
~O
6
54
3 2 1
OH
O~
O
H
H
H
H
H
HO
CH2OH6
54
3 2 1
- H2O (Dehydration)
This Branching Results in Amylopectin another form
of Starch(DP 2,000 to 200,000)
Yeast Cannot Digest These Macromolecules
They Must be Broken Down at Least to Maltose but Much
Preferred is Glucose
Basic Process
Grind
React with Amylase and
GlucoamylaseEnzymes
(~85C)
Cook(~70C)
Ferment(~32C)
Distill
• Process More Complex Than Sugarcane• Initial Cook is Called “Slurrying”• Holding at Temperature is “Liquefaction”• Enzymes Present Throughout
What is the Opportunity?
• Speedup the Hydrolysis• Use Less Enzymes• Minimize “Burning” of the Starch
– Shorter Chain Sugars Can React Together and with Proteins to Form Polymers that Yeast Cannot Digest – Some are Even Toxic to Yeast
• Monitored by “DP” Analysis of the Maltodextrins• But Measurement of Maltodextrins is Not Common – “New”
Methods are Needed– Specialized Techniques are NOT Available in the Plant – Samples Must
be Sent to a Lab
• BUT WORSE – Samples are NOT Stable – Hydrolysis Continues
This Careful Thinking Resulted in a Very Specific R&D ProjectHow to Preserve Samples for Maltodextrin Analysis
This Took Several Months to Accomplish
Clear Problem Definition
Is There a Practical Way to Treat Samples to Stop the Hydrolysis Reaction so that Samples Can be Shipped to a Lab for “DP” Analysis?
– What Methods are “Practical?”
– What Methods do not “Change” the “DP Profile?”
– What Lab Methods are Available and Practical?• Internal?
• External?
“Library” Work
• Reviewed Published Literature on DP Analysis of Starch– Considerable Work Done in Corn Ethanol Industry
– Much More Done in Starch Industry
• Contacted Plants
• Contacted Engineering Firms
• Contacted Analytical Suppliers
• Contacted Academic Researchers
• Contacted Enzyme Suppliers
Found Clear Guidance on DP Analysis – HPLC AnalysisFound A Number of Good Hypotheses to Chase – pH & Temp
Did NOT Find a Complete Testing ProtocolTwo Parallel Paths – Develop HPLC & Experimental Process
HPLC
min0 10 20 30 40 50
Norm.
0
100000
200000
300000
400000
500000
600000
RID1 A, Refractive Index Signal (20120222\DP000002.D)
10.
492
15.
226
- D
P12
+
20.
304
- D
P8
21.
601
- D
P7
22.
978
- D
P6
25.
014
- D
P5
27.
516
- D
P4
30.
634
- D
P3
34.
921
- D
P2
41.
920
- D
P1
44.
772
58.
582
min0 10 20 30 40 50
Norm.
0
50000
100000
150000
200000
250000
300000
350000
RID1 A, Refractive Index Signal (20120223\DP000002.D)
10.
768
11.
647
15.
027
- D
P12
+
17.
434
- D
P11
18.
232
- D
P10
19.
126
- D
P9
20.
309
- D
P8
21.
707
- D
P7
23.
076
- D
P6
25.
111
- D
P5
27.
580
- D
P4
30.
688
- D
P3
34.
966
- D
P2
41.
948
- D
P1
44.
916
47.
699
- G
lyce
rol
57.
428
Corn Mash “Slurried”“0 Hrs”
Corn Mash Liquified“2.5 Hrs”
Lab Liquefaction Difficult to Repeat
Result Depends on:• Time• Temperature• Mixing• Water Content
Needed a Consistent Starting Material to Measure Changes (Actually Lack of Change) Reliably
Gave Up on Corn – Too Difficult to Reproduce
Finally Worked Out a Surrogate
Purchased Maltodextrin Looked Much Like Corn SlurryContained Large DP’s and Some Small DP’s
Easy to Use and Control – Took a Week to Work Out
min0 10 20 30 40 50
Norm.
0
20000
40000
60000
80000
100000
120000
140000
RID1 A, Refractive Index Signal (20120414\DP000008.D)
12.
537
14.
616
- D
P12
+
18.
359
- D
P10
19.
252
- D
P9
20.
439
21.
730
- D
P7
23.
097
- D
P6
25.
138
- D
P5
27.
670
- D
P4
30.
751
- D
P3
35.
057
- D
P2
39.
244
42.
010
- D
P1
5% Maltodextrin Solution
Protocol Development
• Make Up Consistent Maltodextrin Solution (10%)
• Add Controlled Amount of Enzyme
• Monitor %DP<9 as a Measure of Reaction
• Treat Some with 26% Sulfuric Acid (pH’s from 1 to 3)
• Treat Some with Cooling (0 and 25 C)
• Treat Some with Both
• Hold at a Typical Shipping Times (24 to 70 hr)
Several Types of Tests were Run Over 2 WeeksSort of “Played Around” to See What Made Sense
The Pay-Off
• After About 4 Weeks it Became Clear– pH Was the Most Important
• pH of 2 Appeared to Work and Not Create Degradation of Sugars
– Temperature Might be Important• Not as Clear Cut – Not Sure About Time versus Temp• Thought that holding at a higher temp for a few hours might help
– Maltodextrin Appeared to be a Useful Surrogate• Reacted Rapidly with Enzyme• Easy to Dissolve in Water at a Consistent Concentration (by Mass)
– The HPLC Method Easily Detected Changes • Changes in Smaller Sugars Concentrations (%</DP9) Easily
Measured at Times and Temperatures of Interest
We Seemed to Have Closed the Gaps Preventing a Useful DoE
The Actual DoE
After About 1 Week of “Playing Around” a Useful DoE was Actually Fairly Simple
Factor 1 Factor 2 Factor 3 Response 1
Std Run A:pH B:Incubate at 60C
C:Store
Temperature % <DP9
Units pH C %
3 1 2 No 3 29.22%
6 2 5.5 Yes 25 77.17%
8 3 5.5 No 25 77.45%
5 4 2 Yes 25 24.49%
1 5 2 Yes 3 25.20%
7 6 2 No 25 25.04%
4 7 5.5 No 3 64.99%
2 8 5.5 Yes 3 74.31%
Results Pretty Convincing
Most Important Factor is A = pH
Incubation Slightly Worse
We Chose the lnTransformation because it
Worked Well for Other Reaction Rate
Experiments – Slight Improvement Here
Design-Expert® SoftwareLn(% <DP9)
Shapiro-Wilk testW-value = 0.943p-value = 0.686A: pHB: Incubate at 60CC: Store Temperature
Positive Effects Negative Effects
Half-Normal Plot
Ha
lf-N
orm
al %
Pro
ba
bili
ty
|Standardized Effect|
0.00 0.10 0.21 0.31 0.42 0.52 0.62 0.73 0.83 0.94 1.04
0
10
20
30
50
70
80
90
95
A
FIGURE XI – HALF NORMAL PLOT OF lnTRANSFORMED DATA
Additional Evaluation
Adjusting pH Has Profound Effect – As Expected
Design-Expert® SoftwareLn(% <DP9)
A: pHB: Incubate at 60CC: Store Temperature
Positive Effects Negative Effects
Pareto Chart
t-V
alu
e o
f |E
ffect
|
Rank
0.00
3.00
6.01
9.01
12.02
15.02
18.03
1 2 3 4 5 6 7
Bonferroni Limit 3.99706
t-Value Limit 2.44691
A
FIGURE XII – PARETO CHART OF EFFECTS
Does It “Preserve”?
Only pH Adjustment and Storage at 3C has Change Less Than the Standard Deviation of the HPLC Method (~1%)
Since These are Practical Things to Do in the Field, This was the Method Selected – Took About 6 Weeks
Sample %<DP9 %Delta Notes
SX 20-0 29.14% Mother Liquor
SX 20-1 29.22% 0.28% pH 2, No Incubation, Store 3C
SX 20-4 24.49% -15.94% pH 2, Incubate, Store 25C
SX 20-5 25.20% -13.51% pH 2, Incubate, Store 3C
SX 20-6 25.04% -14.06% pH 2, No Incubation, Store 25C
Epilog
• Method Implemented• Seemed to Work for Slurries and Liquefacts• Some “Strange” Results with Fermentation Samples – Most
of the Carbohydrates Gone• Discovered that the SO4(-2) was Interfering with the DP12+
Peak Throwing Off Calculations• Method Modified to Remove SO4(-2) by Treatment with
Ba(OH)2 and Filtering• Now Seems to Work Well with Ferms Also
Always Remain Skeptical and Vigilent – Especially When Applying to Other Conditions and Samples
Questions?
Stites Awarded Patents
• US Patent 7,884,253 B2, 2/8/2011; Methods And Apparatus For Selectively Producing Ethanol From Synthesis Gas; Stites and Hohman.
• US Patent 7,919,070 B2, Apr. 5, 2011; Multi-Zone Reforming Methods and Apparatus for Conversion of Devolatilized Biomass to Syngas; Stites, Biehle, Klepper and Ridley.
• US Patent 8,142,530 B2, Mar. 27, 2012; Methods and Apparatus for Producing Syngas and Alcohols; Klepper, Geerstsema, Tirmizi, Robota and Stites.
Additional Patents in Various Stages of Application/Approval
HPLC Trace versus Time
0
1
2
3
4
5
6
7
DP12+ DP11 DP10 DP9 DP8 DP7 DP6 DP5 DP4 DP3 DP2 DP1
Malto-Dextrins (SX19)32C pH 5.5
Time 0
Time 0.5
Time 1.5
Time 2.0
Time 4.0
Time 22
Time 48
Results Pretty Convincing
We Chose the lnTransformation because it
Worked Well for Other Reaction Rate
Experiments – Not Really Needed Here FIGURE XI – HALF NORMAL PLOT OF ln
TRANSFORMED DATA
Design-Expert® SoftwareLn(% <DP9)
LambdaCurrent = 0Best = -0.02Low C.I. = -1.32High C.I. = 1.27
Recommend transform:None (Lambda = 1)
Lambda
Ln(R
esi
dual
SS
)
Box-Cox Plot for Power Transforms
-5.00
-4.50
-4.00
-3.50
-3.00
-2.50
-3 -2 -1 0 1 2 3