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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 478
PARAMETER DESIGN FOR OPTIMUM PERCENTAGE YIELD FOR BIO-
DIESEL FROM LINSEEDSEED USING DOE (TAGUCHI TECHNIQUE)
Balendra V. S. Chauhan1, Vivek Shrivastaw2, Shailendra Nath Tiwari3, P. K. Chaudhary4
1,2Project Fellow, CSIR-Indian Institute of Petroleum, Dehradun
1,3M.Tech. Scholar, School of Mechanical Engineering, Galgotias University, Greater Noida, U. P., India
4Associate Prof., School of Mechanical Engineering, Galgotias University, Greater Noida, U. P., India
---------------------------------------------------------------------***----------------------------------------------------------------------
Abstract: The use of renewable energy is the prime resolution for global warming, globalization and industrialization. Basically,
biodiesel is less pollutant and biodegradable. It can be used as alternative fuel in engine with less modification. Biodiesel is a
renewable, non-polluting fuel formed mainly from vegetable oils and fats. Chemically, it is known as free fatty acid methyl ester
(FAME). It can be used in normal diesel engines. It has all the ecological benefits over the mineral diesel, as it neither pollutes nor
adds to the global warming. The objective of this study was to investigate optimized setting for the maximum production of
biodiesel from linseed oil. In the current research work biodiesel is generated from linseed oil by performing transesterifiation.
Trans-esterification process is applied to reduce poly-unsaturation of the oil [1]. This process was optimized by involvingTaguchi
Method. The effect of Molar Ratio of methanol to triglyceride, Reaction Temperature, Reaction time and Catalyst Concentration
were investigated experimentally. The optimal condition for yield of biodiesel was found to be Molar ratio 6:1, reaction
temperature 60˚C, reaction time 60 minute and Catalyst Concentration 1%. Theoptimizedconditionwasvalidatedwiththeactual
Biodiesel yield of 95 %. The calculation of ANOVA was performed on Minitab 16.
Keywords: Biodiesel, linseed oil, Global warming, Taguchi Methodology, Tran’s esterification etc.
1. INTRODUCTION
The excess use of fossil fuel causes to various environmental issues and depletion in the ozone layer [1]. The consumption of
fossil fuels (like petrol and diesel) has been grown tremendously in transport section and industries. These two sectors are
very necessary for economic development of any country. It is truth that the demand of fuel isincreasingdaybyday. Thisleads
to the depletion of petroleum products in nearby future. Petroleumproductsemitharmful emissionslikeCO,NOx, CH4andCFC
which causes ozone layer depletion. The rise in price of petroleum products and harmful impact on human health leads to
intensive studies on alternative fuels. The biodiesel has higher cetane number as compare to the diesel. It hasgreaterlubricity
and superior detergency. The flash point is also higher in case of biodiesels. Biodiesel is produced from renewable materials
such as leaves, palm oil and cotton oil etc. Bio-diesel is an ideal synergistic partner for oxidation catalytic converter. Bio-fuels
reduce Carbon Di-oxide (CO2) emissions by 78 per cent when compared to conventional diesel fuel.Bio-diesel isanoxygenated
fuel with oxygen (O2) content of about 10 percent and therefore gives better emission characteristics in term of carbon mono
oxide (CO), Hydrocarbons, Particulatematter.Also,Bio-diesel hasa higherCetanenumber(CN),ensuringlow noiseandsmooth
running, during engine combustion. Furthermore, the by-product resulting after extracting bio fuel is an excellent source of
nitrogen rich organic fertilizer. The amount of particulate materials in biodiesel is very least. In thisregard,S.KPadhiandR.K
Singh [6] produced biodiesel from Mahua oil by esterification followed by trans-esterification. Kinetic studies tooptimizethe
preparation of Mahua Oil Methyl Ester (MOME) were carried out by varying different parameters like methanol / oil molar
ratio, % of excess alcohol, reaction time, temperature and concentrationofacidcatalyst. PrakashC.Jenaetal[9] deliberateda
proper process comprising acid pretreatment followed by main base trans-esterification reaction was developed to produce
biodiesel from mixture of Mahua and Simarouba oils with high free fatty acids (FFA).
2. MATERIAL AND METHODOLOGY
2.1 MATERIAL
The linseed is purchased from market and stored at room temperature. The methanol used in this process in methanol. The
catalyst used in this research is NaOH. The trans-esterification process is chemical reaction between biodiesel and alcohol in
the presence of catalyst. The catalyst is basically used to increase the rate of reaction. This process leads to the formation of
biodiesel and glycerol. The process of conversion of triglyceride and alcohol inthepresenceofcatalystintomonoglycerideand
glycerol is called trans-esterification [4]. Glycerol is the byproduct of this conversion process. Trans-esterification process is
very sensitive the molar ratio of methanol to biodiesel, reaction temperature, reaction time and catalyst concentration.Trans-
esterification process is used to reduce the viscosity and density of biodiesel [7, 8].
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 479
2.2 Production of biodiesel from experiment
Steps involved in production of biodiesel are explained here. A sample of biodiesel (100 g) is taken in first beaker and heated
up to 1000C. This heating process helps to reduce the moisture contents present in biodiesel. Take another beaker and put
methanol in it. Then add catalyst in it. Mix the solution of raw oil with methanol and put it on mechanical stirrer machine for
predefined time. Store the solution in separating funnel for 3 hours to settle down. Separate glycerol from biodiesel. Then
water washing of biodiesel is done. Again the solution heated to remove moisturecontentspresentinbiodiesel [10, 11and12].
By repeating the steps for particular setting given by Taguchi method reduce the chances of errors in experiments. The
experiment procedure for the production of biodiesel from linseed oil is shown in figure1 [2, 3 and 5].
Figure 1: The production process of biodiesel from Linseed oil
3. DESIGN AND ANALYSIS OF EXPERIMENT
3.1 Design of experiment
The parameters involved in experiment are shown in table1.
Table 1: EXPERIMENTAL PARAMETERS AND LEVELS
The various parameters that are affecting the yieldof biodiesel arecharacterizedintheirrespectivelevelsalso.Taguchimethod
is used to reduce the number of experiments, time and cost. It helps to achieve the optimum setting for maximum yield. The
setting for four factors is done by L9 orthogonal array and it is revealed in table2. In the Taguchi method, firstly all the factors
affecting the performances are collected. There are some noise factors also. By seeing the orthogonal array, the experiment is
conducted. After that ANOVA on obtained observation is performed. Then validation of experiments is conducted.
Parameters
Level
1
Level
2
Level
3
Molar Ratio[A] 6.0:1 4.5:1 3.0:1
Reaction Temperature
(0C) [B]
40 50 60
Reaction Time (min) [C] 30 45 60
Catalyst Concentration
(%) [D]
0.5 0.75 1
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 480
Figure 2: Pictorial depiction of steps involved in Taguchi Method
Table 2: LAYOUT OF L9 ORTHOGONAL ARRAY
Exp.
No.
Levels of
Molar Ratio
Levels of
Reaction Temperature
Levels of Reaction
Time
Levels of Catalyst
Concentration
1 1 1 1 1
2 1 2 2 2
3 1 3 3 3
4 2 1 2 3
5 2 2 3 1
6 2 3 1 2
7 3 1 3 2
8 3 2 1 3
9 3 3 2 1
Table 3: Plan for the Experiments in terms of Parameters and the Levels
Exp.
No.
Molar
Ratio
Reaction
Temperature
Reaction
Time
Catalyst
Concentration
1 6:1 40 30 0.5
2 6:1 50 45 0.75
3 6:1 60 60 1
4 4.5:1 40 45 1
5 4.5:1 50 60 0.5
6 4.5:1 60 30 0.75
7 3:1 40 60 0.75
8 3:1 50 30 1
9 3:1 60 45 0.5
The records are collected from experiments setting is presented in Table 4. It is the percentage of biodiesel produced. It is
calculated by dividing the biodiesel produced to the raw oil taken at beginning of experiment.
@ Here E stands for Experimental Observation
Table 4: Details of Percentage Yield at each Experimental Setting
Exp.
No.
E1 E2 E3 E4 E5 E6
1 88.36 89.5 86.32 84.71 86.21 87.24
2 94.25 95.60 94.90 90.12 95.41 92.63
3 95.10 96.20 93.79 92.98 96.78 96.76
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 481
The S/N ratio is discussed by Taguchi. The Signal to Noise ratio is derived from the Taguchi loss function. There are three
types of S/N ratio.
1. Largest the best one
2. Smaller the best one
3. Nominal is the best
Here the purpose is to maximize the yield of biodiesel, so the first one is applied here.Theformula forS/N ratiofor thisprocess
is shown by equation1.
(1)
The average of the observations at every experimental settings and their respective S/N ratio is presented in table5.
Table 5: Average of Percentage yield and S/N ratio of each Experimental Setting
The effect of a factor at each level is deviation it causes from the overall mean. The overall mean value of η is denotedbymand
it is calculated as follows,
Here, m= 39.04
The effect of the molar ratio at level A1 (at experiments 1, 2 and 3) is calculated as the difference of the average S/N ratio for
these experiments (mA1) and the overall mean.
The effect of molar ratio at level 1
The effect of molar ratio at level 2
4 80.64 82.31 83.41 80.10 82.31 84.24
5 91.61 90.62 92.72 89.21 90.31 90.71
6 92.25 90.41 92.93 93.41 89.72 91.24
7 91.53 89.25 90.92 88.72 89.79 86.93
8 88.32 89.40 86.35 84.24 90.02 91.43
9 90.10 91.32 86.25 88.21 87.71 86.42
Exp. No. Average Percentage
yield
S/N
Ratio
1 87.06 38.79
2 93.82 39.44
3 95.27 39.57
4 82.17 38.29
5 90.86 39.16
6 91.69 39.24
7 89.52 39.04
8 88.29 38.91
9 88.33 38.92
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 482
The effect of molar ratio at level 3
The percentage yield is obtained by equation3. The experimental result is shown with the help of preservative model by
equation4.
(3)
(4)
Here, m indicates the overall mean of η whereas the terms a
x
, b
y
, c
z
and d
t
show the deviations from absolute value caused
by the setting A
i
, B
j
, C
k
, and D
l
of factors A, B, C and D, respectively. Here e indicates the error.
Figure 3: Main effects plot for S/N ratio
Figure 4: Main effects plot for Means
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 483
The main effects plot of S/N ratio is showing that factor (A) is more effective at level 1, factor (B) is more effective at level 3,
factor (C) is more effective at level 3 and factor (D) is more effective at level 2.
3.2 ANALYSIS OF VARIANCE (ANOVA)
The ANOVA is performed on the basis of S/N ratio. ANOVA helps to give the percentage contribution of each factor. Here the
factors (Molar ratio, Reaction time, Reaction temperature and Catalyst concentration) are affecting the yield of biodiesel from
linseed oil. Computation of mean sum of square is done by dividing total sum of squares ofeachfactorbydegreeoffreedomfor
that respective factor. ANOVA has been performed by Minitab16.
Here, mean sum of square is shown by MS.
Degrees of freedom for:
• Total =N - 1.
• Factor = Number of levels of that factor - 1.
•Error = (N-1) - sum of the degrees of freedom for the various factors.
Table 6: ANOVA
3.3 DISCUSSION ON ANOVA
The result of the ANOVA is explained in this section. By watching at the Table 6, one can conclude that the Reaction
temperature largely contribute in the variation in S/N ratio for the percentage yield. However, the other factors (Molar ratio,
Reaction time and Catalyst concentration) are contributing less in the variation in S/N ratio.
4. CONCLUSION
Yield with different parameters clearly indicate that optimum conditions in this biodiesel production are: oil to alcohol molar
ratio 6:1, reaction temperature 60˚C, and reaction time 60 min and Catalyst Concentration 1%. At these conditions, the
conversion yield was found maximum (95%). The ANOVA table also depicts the higher contribution ofparametersinaffecting
yield. So, effect of reaction temperature on the conversion yield is greater than the effects of other parameters.
5. SCOPE IN FORTHCOMING WORK
Here the optimization of experimentsisperformedbyTaguchiMethodology.HoweverFactorial Design,Greyrelational analysis
and Response surface method also may be used to get maximum yield.
ACKNOWLEDGEMENTS
The authors are very grateful to Dr. Amit Pal and Dr. P. K. Chaudhary for their analytical help on biodiesel production
techniques.
Factors DOF Sum of
Square
MS Contribution
(%)
Molar
Ratio
2 0.2391 0.1183
20.58
Reaction
Temperature
2 0.5141 0.2532 44.280
Reaction
Time
2 0.22861 0.1112
19.690
Catalyst
Concentration
2 0.173 0.059
15.44
Error 0 0.0 — —
Total 8 1.1617 — —
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 484
REFERENCES
1. S. Jaichandar and K. Annamalai,“The status of Biodiesel as an AlternativeFuel fordiesel engine”, Journal ofSustainable
Energy and Environment, 2011; 2, pp.71-75.
2. Rasha, A. R., Isam, J., and Chaouki, G., 2012, “Transesterification of Biodiesel: Process Optimization and Combustion
Performance”, Int. J. of Thermal & Environmental Engineering, Vol. 4, No. 2, pp. 129-136.
3. Saeikh, Z. H. and Madhu, V., 2014, “Parametric effects on kinetics of esterification for biodiesel production: A Taguchi
approach”, Chemical Engineering Science, Vol. 110, pp. 94–104.
4. Mustafa Balat, Havva Balat, 24 March 2008 “A critical review of bio-diesel as a vehicular fuel” Energy Conversion and
Management 49, Page 2727–2741,.
5. Vineet Kumar, Manish Jain, Amit Pal, An experimental study on biodiesel production from cotton seed oil through
conventional method, International Journal of Engineering Technology, Management and Applied Sciences (2014),
Volume 2 Issue 7, ISSN 2349-4476
6. S.K. Padhi, R.K Singh. “Optimization of esterification and transesterification of Mahua (Madhuca Indica) oil for
production of biodiesel”, J. Chem. Pharm. Res., 2010, 2(5):599-608
7. Ayhan Demirbas, “Progress and recent trends in biodiesel fuels”, Progress in Energy and Combustion Science, 2007;
33, pp. 1-16.
8. Jon Van Gerpen, Biodiesel processing and production, Elsevier Fuel Processing Technology 86 (2005) 1097– 1107
9. Prakash C. Jena, Hifjur Raheman, G.V. Prasanna Kumar, Rajendra Machavaram, Biodiesel production from mixture of
mahua and simarouba oils with high free fatty acids , Elsevier, Biomass and Bio energy,34(2010)1108-1116.
10. Shashikant Vilas Ghadge, Hifjur Raheman, “Process optimization for biodiesel production from mahua (Madhuca
indica) oil using response surface methodology”. Bioresource Technology 2006; 97: 379–384
11. Anh N. Phan and Tan M. Phan, “Biodiesel production from waste cooking oils”, Fuel, 2008; 87, pp. 3490–3496.
12. J. Van Gerpen, B. Shanks, and R. Pruszko, “Biodiesel Production Technology” National Renewable Energy Laboratory,
1617 Cole Boulevard, Golden, Colorado 80401-3393, 303-275-3000.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 485

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IRJET- Parameter Design for Optimum Percentage Yield for Bio-Diesel from Linseedseed using DOE (Taguchi Technique)

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 478 PARAMETER DESIGN FOR OPTIMUM PERCENTAGE YIELD FOR BIO- DIESEL FROM LINSEEDSEED USING DOE (TAGUCHI TECHNIQUE) Balendra V. S. Chauhan1, Vivek Shrivastaw2, Shailendra Nath Tiwari3, P. K. Chaudhary4 1,2Project Fellow, CSIR-Indian Institute of Petroleum, Dehradun 1,3M.Tech. Scholar, School of Mechanical Engineering, Galgotias University, Greater Noida, U. P., India 4Associate Prof., School of Mechanical Engineering, Galgotias University, Greater Noida, U. P., India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract: The use of renewable energy is the prime resolution for global warming, globalization and industrialization. Basically, biodiesel is less pollutant and biodegradable. It can be used as alternative fuel in engine with less modification. Biodiesel is a renewable, non-polluting fuel formed mainly from vegetable oils and fats. Chemically, it is known as free fatty acid methyl ester (FAME). It can be used in normal diesel engines. It has all the ecological benefits over the mineral diesel, as it neither pollutes nor adds to the global warming. The objective of this study was to investigate optimized setting for the maximum production of biodiesel from linseed oil. In the current research work biodiesel is generated from linseed oil by performing transesterifiation. Trans-esterification process is applied to reduce poly-unsaturation of the oil [1]. This process was optimized by involvingTaguchi Method. The effect of Molar Ratio of methanol to triglyceride, Reaction Temperature, Reaction time and Catalyst Concentration were investigated experimentally. The optimal condition for yield of biodiesel was found to be Molar ratio 6:1, reaction temperature 60˚C, reaction time 60 minute and Catalyst Concentration 1%. Theoptimizedconditionwasvalidatedwiththeactual Biodiesel yield of 95 %. The calculation of ANOVA was performed on Minitab 16. Keywords: Biodiesel, linseed oil, Global warming, Taguchi Methodology, Tran’s esterification etc. 1. INTRODUCTION The excess use of fossil fuel causes to various environmental issues and depletion in the ozone layer [1]. The consumption of fossil fuels (like petrol and diesel) has been grown tremendously in transport section and industries. These two sectors are very necessary for economic development of any country. It is truth that the demand of fuel isincreasingdaybyday. Thisleads to the depletion of petroleum products in nearby future. Petroleumproductsemitharmful emissionslikeCO,NOx, CH4andCFC which causes ozone layer depletion. The rise in price of petroleum products and harmful impact on human health leads to intensive studies on alternative fuels. The biodiesel has higher cetane number as compare to the diesel. It hasgreaterlubricity and superior detergency. The flash point is also higher in case of biodiesels. Biodiesel is produced from renewable materials such as leaves, palm oil and cotton oil etc. Bio-diesel is an ideal synergistic partner for oxidation catalytic converter. Bio-fuels reduce Carbon Di-oxide (CO2) emissions by 78 per cent when compared to conventional diesel fuel.Bio-diesel isanoxygenated fuel with oxygen (O2) content of about 10 percent and therefore gives better emission characteristics in term of carbon mono oxide (CO), Hydrocarbons, Particulatematter.Also,Bio-diesel hasa higherCetanenumber(CN),ensuringlow noiseandsmooth running, during engine combustion. Furthermore, the by-product resulting after extracting bio fuel is an excellent source of nitrogen rich organic fertilizer. The amount of particulate materials in biodiesel is very least. In thisregard,S.KPadhiandR.K Singh [6] produced biodiesel from Mahua oil by esterification followed by trans-esterification. Kinetic studies tooptimizethe preparation of Mahua Oil Methyl Ester (MOME) were carried out by varying different parameters like methanol / oil molar ratio, % of excess alcohol, reaction time, temperature and concentrationofacidcatalyst. PrakashC.Jenaetal[9] deliberateda proper process comprising acid pretreatment followed by main base trans-esterification reaction was developed to produce biodiesel from mixture of Mahua and Simarouba oils with high free fatty acids (FFA). 2. MATERIAL AND METHODOLOGY 2.1 MATERIAL The linseed is purchased from market and stored at room temperature. The methanol used in this process in methanol. The catalyst used in this research is NaOH. The trans-esterification process is chemical reaction between biodiesel and alcohol in the presence of catalyst. The catalyst is basically used to increase the rate of reaction. This process leads to the formation of biodiesel and glycerol. The process of conversion of triglyceride and alcohol inthepresenceofcatalystintomonoglycerideand glycerol is called trans-esterification [4]. Glycerol is the byproduct of this conversion process. Trans-esterification process is very sensitive the molar ratio of methanol to biodiesel, reaction temperature, reaction time and catalyst concentration.Trans- esterification process is used to reduce the viscosity and density of biodiesel [7, 8].
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 479 2.2 Production of biodiesel from experiment Steps involved in production of biodiesel are explained here. A sample of biodiesel (100 g) is taken in first beaker and heated up to 1000C. This heating process helps to reduce the moisture contents present in biodiesel. Take another beaker and put methanol in it. Then add catalyst in it. Mix the solution of raw oil with methanol and put it on mechanical stirrer machine for predefined time. Store the solution in separating funnel for 3 hours to settle down. Separate glycerol from biodiesel. Then water washing of biodiesel is done. Again the solution heated to remove moisturecontentspresentinbiodiesel [10, 11and12]. By repeating the steps for particular setting given by Taguchi method reduce the chances of errors in experiments. The experiment procedure for the production of biodiesel from linseed oil is shown in figure1 [2, 3 and 5]. Figure 1: The production process of biodiesel from Linseed oil 3. DESIGN AND ANALYSIS OF EXPERIMENT 3.1 Design of experiment The parameters involved in experiment are shown in table1. Table 1: EXPERIMENTAL PARAMETERS AND LEVELS The various parameters that are affecting the yieldof biodiesel arecharacterizedintheirrespectivelevelsalso.Taguchimethod is used to reduce the number of experiments, time and cost. It helps to achieve the optimum setting for maximum yield. The setting for four factors is done by L9 orthogonal array and it is revealed in table2. In the Taguchi method, firstly all the factors affecting the performances are collected. There are some noise factors also. By seeing the orthogonal array, the experiment is conducted. After that ANOVA on obtained observation is performed. Then validation of experiments is conducted. Parameters Level 1 Level 2 Level 3 Molar Ratio[A] 6.0:1 4.5:1 3.0:1 Reaction Temperature (0C) [B] 40 50 60 Reaction Time (min) [C] 30 45 60 Catalyst Concentration (%) [D] 0.5 0.75 1
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 480 Figure 2: Pictorial depiction of steps involved in Taguchi Method Table 2: LAYOUT OF L9 ORTHOGONAL ARRAY Exp. No. Levels of Molar Ratio Levels of Reaction Temperature Levels of Reaction Time Levels of Catalyst Concentration 1 1 1 1 1 2 1 2 2 2 3 1 3 3 3 4 2 1 2 3 5 2 2 3 1 6 2 3 1 2 7 3 1 3 2 8 3 2 1 3 9 3 3 2 1 Table 3: Plan for the Experiments in terms of Parameters and the Levels Exp. No. Molar Ratio Reaction Temperature Reaction Time Catalyst Concentration 1 6:1 40 30 0.5 2 6:1 50 45 0.75 3 6:1 60 60 1 4 4.5:1 40 45 1 5 4.5:1 50 60 0.5 6 4.5:1 60 30 0.75 7 3:1 40 60 0.75 8 3:1 50 30 1 9 3:1 60 45 0.5 The records are collected from experiments setting is presented in Table 4. It is the percentage of biodiesel produced. It is calculated by dividing the biodiesel produced to the raw oil taken at beginning of experiment. @ Here E stands for Experimental Observation Table 4: Details of Percentage Yield at each Experimental Setting Exp. No. E1 E2 E3 E4 E5 E6 1 88.36 89.5 86.32 84.71 86.21 87.24 2 94.25 95.60 94.90 90.12 95.41 92.63 3 95.10 96.20 93.79 92.98 96.78 96.76
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 481 The S/N ratio is discussed by Taguchi. The Signal to Noise ratio is derived from the Taguchi loss function. There are three types of S/N ratio. 1. Largest the best one 2. Smaller the best one 3. Nominal is the best Here the purpose is to maximize the yield of biodiesel, so the first one is applied here.Theformula forS/N ratiofor thisprocess is shown by equation1. (1) The average of the observations at every experimental settings and their respective S/N ratio is presented in table5. Table 5: Average of Percentage yield and S/N ratio of each Experimental Setting The effect of a factor at each level is deviation it causes from the overall mean. The overall mean value of η is denotedbymand it is calculated as follows, Here, m= 39.04 The effect of the molar ratio at level A1 (at experiments 1, 2 and 3) is calculated as the difference of the average S/N ratio for these experiments (mA1) and the overall mean. The effect of molar ratio at level 1 The effect of molar ratio at level 2 4 80.64 82.31 83.41 80.10 82.31 84.24 5 91.61 90.62 92.72 89.21 90.31 90.71 6 92.25 90.41 92.93 93.41 89.72 91.24 7 91.53 89.25 90.92 88.72 89.79 86.93 8 88.32 89.40 86.35 84.24 90.02 91.43 9 90.10 91.32 86.25 88.21 87.71 86.42 Exp. No. Average Percentage yield S/N Ratio 1 87.06 38.79 2 93.82 39.44 3 95.27 39.57 4 82.17 38.29 5 90.86 39.16 6 91.69 39.24 7 89.52 39.04 8 88.29 38.91 9 88.33 38.92
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 482 The effect of molar ratio at level 3 The percentage yield is obtained by equation3. The experimental result is shown with the help of preservative model by equation4. (3) (4) Here, m indicates the overall mean of η whereas the terms a x , b y , c z and d t show the deviations from absolute value caused by the setting A i , B j , C k , and D l of factors A, B, C and D, respectively. Here e indicates the error. Figure 3: Main effects plot for S/N ratio Figure 4: Main effects plot for Means
  • 6. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 483 The main effects plot of S/N ratio is showing that factor (A) is more effective at level 1, factor (B) is more effective at level 3, factor (C) is more effective at level 3 and factor (D) is more effective at level 2. 3.2 ANALYSIS OF VARIANCE (ANOVA) The ANOVA is performed on the basis of S/N ratio. ANOVA helps to give the percentage contribution of each factor. Here the factors (Molar ratio, Reaction time, Reaction temperature and Catalyst concentration) are affecting the yield of biodiesel from linseed oil. Computation of mean sum of square is done by dividing total sum of squares ofeachfactorbydegreeoffreedomfor that respective factor. ANOVA has been performed by Minitab16. Here, mean sum of square is shown by MS. Degrees of freedom for: • Total =N - 1. • Factor = Number of levels of that factor - 1. •Error = (N-1) - sum of the degrees of freedom for the various factors. Table 6: ANOVA 3.3 DISCUSSION ON ANOVA The result of the ANOVA is explained in this section. By watching at the Table 6, one can conclude that the Reaction temperature largely contribute in the variation in S/N ratio for the percentage yield. However, the other factors (Molar ratio, Reaction time and Catalyst concentration) are contributing less in the variation in S/N ratio. 4. CONCLUSION Yield with different parameters clearly indicate that optimum conditions in this biodiesel production are: oil to alcohol molar ratio 6:1, reaction temperature 60˚C, and reaction time 60 min and Catalyst Concentration 1%. At these conditions, the conversion yield was found maximum (95%). The ANOVA table also depicts the higher contribution ofparametersinaffecting yield. So, effect of reaction temperature on the conversion yield is greater than the effects of other parameters. 5. SCOPE IN FORTHCOMING WORK Here the optimization of experimentsisperformedbyTaguchiMethodology.HoweverFactorial Design,Greyrelational analysis and Response surface method also may be used to get maximum yield. ACKNOWLEDGEMENTS The authors are very grateful to Dr. Amit Pal and Dr. P. K. Chaudhary for their analytical help on biodiesel production techniques. Factors DOF Sum of Square MS Contribution (%) Molar Ratio 2 0.2391 0.1183 20.58 Reaction Temperature 2 0.5141 0.2532 44.280 Reaction Time 2 0.22861 0.1112 19.690 Catalyst Concentration 2 0.173 0.059 15.44 Error 0 0.0 — — Total 8 1.1617 — —
  • 7. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 484 REFERENCES 1. S. Jaichandar and K. Annamalai,“The status of Biodiesel as an AlternativeFuel fordiesel engine”, Journal ofSustainable Energy and Environment, 2011; 2, pp.71-75. 2. Rasha, A. R., Isam, J., and Chaouki, G., 2012, “Transesterification of Biodiesel: Process Optimization and Combustion Performance”, Int. J. of Thermal & Environmental Engineering, Vol. 4, No. 2, pp. 129-136. 3. Saeikh, Z. H. and Madhu, V., 2014, “Parametric effects on kinetics of esterification for biodiesel production: A Taguchi approach”, Chemical Engineering Science, Vol. 110, pp. 94–104. 4. Mustafa Balat, Havva Balat, 24 March 2008 “A critical review of bio-diesel as a vehicular fuel” Energy Conversion and Management 49, Page 2727–2741,. 5. Vineet Kumar, Manish Jain, Amit Pal, An experimental study on biodiesel production from cotton seed oil through conventional method, International Journal of Engineering Technology, Management and Applied Sciences (2014), Volume 2 Issue 7, ISSN 2349-4476 6. S.K. Padhi, R.K Singh. “Optimization of esterification and transesterification of Mahua (Madhuca Indica) oil for production of biodiesel”, J. Chem. Pharm. Res., 2010, 2(5):599-608 7. Ayhan Demirbas, “Progress and recent trends in biodiesel fuels”, Progress in Energy and Combustion Science, 2007; 33, pp. 1-16. 8. Jon Van Gerpen, Biodiesel processing and production, Elsevier Fuel Processing Technology 86 (2005) 1097– 1107 9. Prakash C. Jena, Hifjur Raheman, G.V. Prasanna Kumar, Rajendra Machavaram, Biodiesel production from mixture of mahua and simarouba oils with high free fatty acids , Elsevier, Biomass and Bio energy,34(2010)1108-1116. 10. Shashikant Vilas Ghadge, Hifjur Raheman, “Process optimization for biodiesel production from mahua (Madhuca indica) oil using response surface methodology”. Bioresource Technology 2006; 97: 379–384 11. Anh N. Phan and Tan M. Phan, “Biodiesel production from waste cooking oils”, Fuel, 2008; 87, pp. 3490–3496. 12. J. Van Gerpen, B. Shanks, and R. Pruszko, “Biodiesel Production Technology” National Renewable Energy Laboratory, 1617 Cole Boulevard, Golden, Colorado 80401-3393, 303-275-3000.
  • 8. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 485