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In the modern world the responses has changes quickly due to the need of person and requirements. As we know that the consumption of plastic & polythene are increases day by day which is a serious issue of the time concerning to environmental effect. Over a 100 million tones of plastics are produced annually worldwide, and the used products have become a common feature at over flowing bins and landfills.
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http://www.iaeme.com/ijmet/index.asp 172 [email protected]
International Journal of Mechanical Engineering and Technology (IJMET)
Volume 7, Issue 1, Jan-Feb 2016, pp. 172-179, Article ID: IJMET_07_01_018
Available online at
http://www.iaeme.com/IJMET/issues.asp?JType=IJMET&VType=7&IType=1
Journal Impact Factor (2016): 9.2286 (Calculated by GISI) www.jifactor.com
ISSN Print: 0976-6340 and ISSN Online: 0976-6359
© IAEME Publication
PARAMETRIC OPTIMISATION OF
GENERATED WASTE PLASTIC FUEL
PARAMETERS WITH THE HELP OF
TAGUCHI METHOD
Raj Kumar
M.Tech Scholar
Department of Mechanical Engineering
Bhaba Engineering Research Institute Bhopal M.P
Asst. Prof. Yogesh Kumar Tembhurne
Asst. Prof. Department of Mechanical Engineering (B.E.R.I Bhopal M.P.)
ABSTRACT
In the modern world the responses has changes quickly due to the need of
person and requirements. As we know that the consumption of plastic &
polythene are increases day by day which is a serious issue of the time
concerning to environmental effect. Over a 100 million tones of plastics are
produced annually worldwide, and the used products have become a common
feature at over flowing bins and landfills. Because Plastics have woven their
way into our daily lives and now pose a tremendous threat to the environment
For minimizing hazardous effect of this on environment so many steps has
been taken by the scientist and research has going on in the support of that i
am going to introduce a technique of pyrolysis by the help of which we can
convert the plastic and polythene waste in a useful fuel. The waste plastics are
subjected to distillation, , pyrolysis, thermal cracking and depolymerisation
distillation to obtain different value added fuels such as petrol, kerosene, and
diesel, lubericating oil etc and use as a normal fossil fuels in the vehicle which
helps in two aspects of need.
(i). It minimizes the hazardous effects on environment.
(ii). It helps in to produce fuel and minimizes the fuel crisis in some
extends.
In my dissertation of fuel production through waste polythene and plastic
with the help of ziolite as a catalyst in that first of all i prepare a mild steel
closed air tight vessel having a lid on the top of it along with the hole which is
attached by a long galvanize steel pipe then i filled the container up ¾ of its
height with the waste plastic and polythene then by using external source of
heater temperature of closed chamber is arises up to 300o
C-450o C from room
Parametric Optimisation of Generated Waste Plastic Fuel Parameters with The Help of
Taguchi Method
http://www.iaeme.com/ijmet/index.asp 173 [email protected]
temperature on which the pyrolysis takes place which converts the waste
plastic or polythene in useful fuel whose texture ,odorcolor, and all other
properties like flash point ,fire point, cloud point, pour point, viscosity, are
almost near to the petrol .After that the outcome fuel from a waste plastic or
polythene is used as a normal fuel in a 100 CC bike and found the fuel gives
more millage as compare to petrol about 6-8 km. Which increases the
efficiency of the engine by 15-20%.& by using Taguchi Technique I optimize
the various parameters which affects the production of plastic fuel .by using
advance technique I found the catalyst is most affecting parameter whose
contribution is 75.25 % and second one is time12.93% and the least is time
whose contribution is 9.09%.
Keywords: Pyrolysis, Plastic Waste, Taguchi Method, S/N Ratio, Zeolite
Catalyst, Temperature, Time.
Cite this Article: Raj Kumar and Asst. Prof. Yogesh Kumar Tembhurne.
Parametric Optimisation of Generated Waste Plastic Fuel Parameters with The
Help of Taguchi Method, International Journal of Mechanical Engineering
and Technology, 7(1), 2016, pp. 172-179.
http://www.iaeme.com/currentissue.asp?JType=IJMET&VType=7&IType=1
INTODUCTION
Polymer
Polymer are the natural or synthetic molecules that are composed of a large number of
smaller monomers, which have reacted to form long chain. The most basic polymers
are made from the same monomers – the name of this substance is made by adding
prefix ‘Poly’ to the name of monomer.
Polymers can be classified into a number of ways which are described below.
Figure 1
Plastic materials are cannot be decomposed easily in a short period of time. These
plastic wastes can be classified as industrial and municipal according to their origins;
these groups have different qualities and properties. The level of waste plastic
continuous increase it is generating environmental problems worldwide. classification
of plastics includes high-density poly-ethylene,( High-Density Polyethylene Milk,
detergent & oil bottles, toys, containers used outside, parts and plastic bags) .low-
Raj Kumar and Asst. Prof. Yogesh Kumar Tembhurne
http://www.iaeme.com/ijmet/index.asp 174 [email protected]
density polyethylene (LDPE , Many plastic bags, shrink-wraps, garment bags or
containers)., polypropylene and polystyrene. Also, plastics are classified by their
chemical structure of the polymer's backbone and side chains. Some important groups
in these classifications are the acrylics, polyesters, silicones, polyurethanes, and
halogenated plastics. Poly Propylene. Refrigerated containers, some bags, most bottle
tops, some carpets, and some food wraps. There are two main types of plastics:
thermoplastics and thermosetting polymers. These waste plastic convert to useful oil
and reduces the many problems increasing in world.
METHODOLOGY
Pyrolysis process for conversion of waste plastic into fuel: Pyrolysis is the
chemical decomposition of organic substances by heating the word is originally
coined from the Greek-derived elements pyro "fire" and lysys "decomposition".
Pyrolysis is usually the first chemical reaction that occurs in the burning of many
solid organic fuels, cloth, like wood, and paper, and also of some kinds of plastic.
Anhydrous Pyrolysis process can also be used to produce liquid fuel similar to diesel
from plastic waste. Pyrolysis technology is thermal degradation process in the absence
of oxygen. Plastic waste is treated in a cylindrical reactor at temperature of 300ºC –
350ºC.Now a days plastics waste is very harmful to our nature also fo human beings
.plastic is not easily decomposable its affect in fertilization, atmosphere ,mainly affect
on ozone layer so it is necessary to recycle these waste plastic into useful things .so
we recycle this waste plastic into a useful fuel.
Taguchi Method: The method presented in this study is an experimental design
process called the Taguchi design method. Taguchi design, developed by Dr.Genichi
Taguchi, is a set of methodologies by which the inherent variability of materials and
manufacturing processes has been taken into account at the design stage. Although
similar to design of experiment (DOE), the Taguchi design only conducts the
balanced (orthogonal) experimental combinations, which makes the Taguchi design
even more effective than a fractional factorial design. By using the Taguchi
techniques, industries are able to greatly reduce product development cycle time for
both design and production, therefore reducing costs and increasing profit.
The objective of the parameter design is to optimize the settings of the process
parameter values for improving performance characteristics and to identify the
product parameter values under the optimal process parameter values. The parameter
design is the key step in the Taguchi method to achieving high quality without
increasing cost. The steps included in the Taguchi parameter design are: selecting the
proper orthogonal array (OA) according to the numbers of controllable factors
(parameters); running experiments based on the OA; analysing data; identifying the
optimum condition; and conducting confirmation runs with the optimal levels of all
the parameters.
Taguchi method the experimental procedure included experimental design by
Taguchi method, welding materials, welding equipment and welding procedure.
Taguchi method can study data with minimum experimental runs. In this paper, the
design of experiment work can be decided by this method.
Steps of Taguchi method are as follows:
Parametric Optimisation of Generated Waste Plastic Fuel Parameters with The Help of
Taguchi Method
http://www.iaeme.com/ijmet/index.asp 175 [email protected]
1. Identification of main function, side effects and failure mode.
2. Identification of noise factor, testing condition and quality characteristics.
3. Identification of the main function to be optimized.
4. Identification the control factor and their levels.
5. Selection of orthogonal array and matrix experiment.
6. Conducting the matrix experiment.
7. Analysing the data, prediction of the optimum level and performance.
8. Performing the verification experiment and planning the future action.
Experimental Setup
Plastic Fuel
Raj Kumar and Asst. Prof. Yogesh Kumar Tembhurne
http://www.iaeme.com/ijmet/index.asp 176 [email protected]
OBSERVATION TABLE 1
COMPERISION HDPE OIL WITH PETROL AND DEISEL OIL:
Fuel properties HDPE PETROL DIESEL
Density 795.45 kg/m3
711 to 737 kg/m3 820 to 900 kg/m3
Viscosity 0.775 poise 1.5 to 4 poise 1 to 3.97 poise
Specific gravity 0.776 0.82 0.81 to 0.96
Flash point( oC) 23 22 26
Fire point ( oC) 27 25 29
Cloud point ( oC) Below 2 1 to 3 2.5 to4
Pour point ( oC) -4.5 to -5 -4 to -20 -2 to -12
Colour Yellow, light
transparent
Brown transparent Dyed blue
OBSERVATION TABLE 2
COMPERISION LDPE OIL WITH PETROL AND DEISEL OIL:
Fuel properties LDPE PETROL DIESEL
Density 530.35 kg/m3 711 to 737 kg/m3 820 to 900 kg/m3
Viscosity 0.652 poise 1.5 to 4 poise 1 to 3.97 poise
Specific gravity 0.655 0.82 0.81 to 0.96
Flash point ( oC) 24 22 26
Fire point ( oC) 28 25 29
Cloud point ( oC) Below 0 1 to 3 2.5 to 4
Pour point ( oC) -2
o C -4 to -20 -2 to-12
Colour Pale yellow Brown transparent Dyed blue
Table 4 Control parameters and their levels
Control parameters
Level 1 Level 2 Level 3
CATALYST(gm) 10 30 50
TEMPERATURE (degree
C) 433.67 314.33 303.33
TIME (minute) 43.67 34 26.67
Evaluation of S/N ratios
The control factors that may contribute to reduced variations can be identified quickly
by looking at the amount of variation present as a response. Taguchi created a
transformation of repetition data to another value which represents measure of
variation present. This transformation is Signal to Noise ratio. Thus Signal to noise
ratio is measure of amount of observed variation present relative to the observed
average of quantity of fuel, the results are analyzed first by calculating the signal-to-
noise (S/N) ratio for each performance characteristics for each experiment.
Calculating the average of S/N value for each factor and plotting them for each level
Parametric Optimisation of Generated Waste Plastic Fuel Parameters with The Help of
Taguchi Method
http://www.iaeme.com/ijmet/index.asp 177 [email protected]
Table 5 L9 Orthogonal array
S. No. Catalyst (gm) Temperature (degree C) Time (minute)
1 10 428 45
2 10 424 44
3 10 419 42
4 30 316 35
5 30 313 33
6 30 314 34
7 50 306 29
8 50 307 27
9 50 297 24
The S/N ratio that condenses multiple data points within a trial depends on the
type of characteristics being evaluated. Accordingly, S/N ratios may be Higher the
best (HB), lower the best (LB) or nominal the best. The equations for –Higher the best
(HB), lower the best (LB) are presented below:
Higher the better
Table 6 S/N RATIO
Run
Number CATALYST TEMP. TIME Quantity (ml) S/N Ratio
1 1 1 1 102 103.084
2 1 2 2 104 100.387
3 1 3 3 105 93.097
4 2 1 2 112 105.356
5 2 2 3 115 105.356
6 2 3 1 117 106.229
7 3 1 3 120 106.735
8 3 2 1 123 107.229
9 3 3 2 127 107.789
TABLE 7 Results of the ANOVA
CF DOF SS MS %C
A 2 121.128 60.564 75.24
B 2 14.64 07.32 9.09
C 2 20.82 10.41 12.93
Error 2 4.391 2.1955 2.72
Total 08 160.979
Raj Kumar and Asst. Prof. Yogesh Kumar Tembhurne
http://www.iaeme.com/ijmet/index.asp 178 [email protected]
Pie chart for percentage contribution
RESULT AND DISCUSSION
By heating the close combustion chamber with heater of two thousand Watt in a
temperature range of 200 to 450 degree Celsius we get approx 560 ml fuel oil. By
heating of combustion about 45 minutes the layer of oil appears on the water level.
After two hour we get 500 ml of fuel oil. By using 10 ml of this fuel in 100 cc Bajaj
bike its runs bike one minute at average speed of 45 km/h.it is concluded that the
waste plastic Pyrolysis oil represents a good alternative fuel.
CONCLUSION
By using this fuel oil in 100 cc bike it increases efficiency of bike by 15 to 20% as
compared to petrol used in the bike. Engine fuel with waste plastic oil exhibits higher
thermal efficiency. By comparing the density of HDPE oil with petrol its gives
approximately same value. Also comparing the density of LDPE oil WITH diesel oil
its gives approximately same value. It could be concluded, that thermal pyrolysis of
plastic waste leads to the production of fuel oil, valuable resource recovery and
reduction of waste problem. Thermal pyrolysis of waste plastic waste has also several
advantages over other alternative recycling methods. It has been shown that the
conversion at lower temperature in the presence of catalyst into liquid is a feasible
process.
According to ANOVA analysis the most effective parameters with respect to
percentage calibration is Catalyst, temperature, time contribution indicates the relative
power of a factor to reduce variation. For a factor with a higher percent contribution, a
small variation will have a great influence on the performance. The percent
contributions of the plastic fuel parameters on the percentage calibration According to
ANOVA this, catalyst was found to be the major factor (75.24) affecting the
percentage calibration, whereas time was found to be the second factor (12.93
%),least one is temperature 9.09%.
75.24
9.09
12.93
2.72
Pie chart for percentage contribution
Catalyst Temperature Time Error
Parametric Optimisation of Generated Waste Plastic Fuel Parameters with The Help of
Taguchi Method
http://www.iaeme.com/ijmet/index.asp 179 [email protected]
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