Optimization of biodiesel powered CI engine process parameters using AHP and Taguchi grey method – A hybrid approach

Krishnamoorthy Natarajan; Saravanan Subramani; Ravi Govindasamy; Paul Durai Kumar

Optimization of biodiesel powered CI engine process parameters using AHP and Taguchi grey method – A hybrid approach

Abstract

Blends of algae oil with diesel can act as a substitute for diesel are expected to provide organized efficiency and better emission characteristics by controlling the parameters of the compression ignition engine. The addition of antioxidants like pyrogallol and butylated hydroxy toluene can make biodiesel more effective. An Analytical Hierarchy Process and the Taguchi-Grey method are combined for the first time in the compression ignition engine process to optimize the parameters for better performance and reduce toxic emissions. For analytical hierarchy process analysis, an expert’s opinion is collected for the response variables to assign the weightage to the variables. For better performance and reduced emissions, the optimum process parameters are found to be injection timing at 23°, pyrogallol at 0 ppm, and butylated hydroxy toluene at 500 PPM. Furthermore, a confirmation test was conducted to confirm the obtained results from the optimization process, and the results showed that the brake thermal efficiency is enhanced by 3.6 % and NOx is reduced by 6 %. However, the smoke from the CI engine is increased by 10.4 %.

Keywords

References

[1] Rahman MA, Aziz MA. Biodiesel from water hyacinth biomass and its influence on CI engine performance, emission, combustion and heat loss characteristics with the induction of hydroxy. Energy 2021;224:120151. [CrossRef]
[2] Sharma A, Muqeem M, Sherwani AF, Ahmad M. Optimization of diesel engine input parameters running on Polanga biodiesel to improve performance and exhaust emission using MOORA technique with standard deviation. Energy Sources Part A Recover Util Environ Eff 2018;40:2753–2770. [CrossRef]
[3] Singh BP. Performance of conventional engine with algae oil at varying injection timing and injection pressure. Distrib Gener Altern Energy J 2016;31:55–77. [CrossRef]
[4] Gharehghani A, Pourrahmani H. Performance evaluation of diesel engines (PEDE) for a diesel-biodiesel fueled CI engine using nano-particles additive. Energy Convers Manag 2019;198:111921. [CrossRef]
[5] Hoseini SS, Najafi G, Ghobadian B, Mamat R, Sidik NAC, Azmi WH. The effect of combustion management on diesel engine emissions fueled with biodiesel-diesel blends. Renew Sustain Energy Rev 2017;73:307–331. [CrossRef]
[6] Kumar Reddy VP, Senthil Kumar D, Thirumalini S. Effect of antioxidants on the performance and emission characteristics of a diesel engine fuelled by waste cooking sunflower methyl ester. IOP Conf Ser Mater Sci Eng 2018;310:012116. [CrossRef]
[7] Karavalakis G, Stournas S. Impact of antioxidant additives on the oxidation stability of diesel/biodiesel blends. Energy Fuels 2010;24:3682–3686. [CrossRef]
[8] Ramalingam S, Rajendran S, Ganesan P, Govindasamy M. Effect of operating parameters and antioxidant additives with biodiesels to improve the performance and reducing the emissions in a compression ignition engine – a review. Renew Sustain Energy Rev 82018;1:775–788. [CrossRef]

[9] Avase SA, Srivastava S, Vishal K, Ashok HV, Varghese G. Effect of pyrogallol as an antioxidant on the performance and emission characteristics of biodiesel derived from waste cooking oil. Procedia Earth Planet Sci 2015;11:437–444. [CrossRef]
[10] Hess MA, Haas MJ, Foglia TA, Marmer WN. Effect of antioxidant addition on NOx emissions from biodiesel. Energy Fuels 2005;19:1749–1754. [CrossRef]
[11] Ryu K. The characteristics of performance and exhaust emissions of a diesel engine using a biodiesel with antioxidants. Bioresour Technol 2010;101:S78–S82. [CrossRef]
[12] Muraliraja R, Elansezhian R, Patterson K. Optimization of reducing agent and key parameters effect on the efficiency of electroless Ni-P plating by Taguchi method. Procedia Mater Sci 2014;5:2478–2486. [CrossRef]
[13] Ahmad N, Kamal S, Raza ZA, Hussain T, Anwar F. Multi-response optimization in the development of oleo-hydrophobic cotton fabric using Taguchi based grey relational analysis. Appl Surf Sci 2016;367:370–381. [CrossRef]
[14] Sudhagar S, Sakthivel M, Mathew PJ, Daniel SAA. A multi criteria decision making approach for process improvement in friction stir welding of aluminium alloy. Meas J Int Meas Confed 2017;108:1–8. [CrossRef]
[15] Patel JD, Maniya KD. Application of AHP/MOORA method to select wire cut electrical discharge machining process parameter to cut EN31 alloys steel with brasswire. Mater Today Proc 2015;2:2496–2503. [CrossRef]
[16] Luthra S, Mangla SK, Xu L, Diabat A. Using AHP to evaluate barriers in adopting sustainable consumption and production initiatives in a supply chain. Int J Prod Econ 2016;181:342–349. [CrossRef]
[17] Geetha N, Pappula B. Integrated AHP and WED based approach to select optimal combination of operating parameters on spark ignition engine. SAE Technical Paper 2019-01-0025. [CrossRef]
[18] Khanam S, Khan O, Ahmad S, Sherwani AF, Khan ZA, Yadav AK, et al. A Taguchi-based hybrid multi criteria decision-making approach for optimization of performance characteristics of diesel engine fuelled with blends of biodiesel-diesel and cerium oxide nano-additive. J Therm Anal Calorim 2024;149:3657–3676. [CrossRef]
[19] Senthilkumar S, Karthick A, Madavan R, Moshi AAM, Bharathi SS, Saroja S, et al. Optimization of transformer oil blended with natural ester oils using Taguchi-based grey relational analysis. Fuel 2021;288:11. [CrossRef]
[20] Warkhade GS, Ganesh K, Babu AV. Experimental analysis and parametric optimization of linseed oil methyl ester blend-fueled variable compression ratio diesel engine. Renew Energy Res Appl 2023;4:183–198. [CrossRef]
[21] Barati E, Zarkak MR, Jalali S. Analysis of heat transfer and flow over a rotating cylinder at subcritical Reynolds numbers based on Taguchi method. J Therm Eng 2023;9:998–1014. [CrossRef]
[22] Saravanan S, Krishnamoorthy N. Investigation on reduction in consequences of adding antioxidants into the algae biodiesel blend as a CI engine fuel. Fuel 2020;276:117993. [CrossRef]
[23] Saravanan S, Krishnamoorthy N, Lakshmi NRG. Optimization of injection timing and anti-oxidants for multiple responses of CI engine fueled with algae biodiesel blend, Fuel 2021;287:119438. [CrossRef]
[24] Saaty T. The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. New York: McGraw-Hill; 1980.
[25] Grošelj P, Zadnik Stirn L, Ayrilmis N, Kuzman MK. Comparison of some aggregation techniques using group analytic hierarchy process. Expert Syst Appl 2015;42:2198–2204. [CrossRef]
[26] Khanna R, Kumar A, Garg MP, Singh A, Sharma N. Multiple performance characteristics optimization for Al 7075 on electric discharge drilling by Taguchi grey relational theory. J Ind Eng Int 2015;11:459–472. [CrossRef]
[27] Nelabhotla DM, Jayaraman TV, Asghar K, Das D. The optimization of chemical mechanical planarization process-parameters of C-plane gallium-nitride using Taguchi method and grey relational analysis. Mater Des 2016;104:392–403. [CrossRef]
[28] Pohit G, Misra D. Optimization of performance and emission characteristics of diesel engine with biodiesel using grey-taguchi method. J Eng 2013;2013:915357. [CrossRef]
[29] Karnwal A, Hasan MM, Kumar N, Siddiquee AN, Khan ZA. Multi-response optimization of diesel engine performance parameters using thumba biodiesel-diesel blends by applying the Taguchi method and grey relational analysis. Int J Automot Technol 2011;12:599–610. [CrossRef]
[30] Jadhav SD, Tandale MS. Multi-objective performance optimization of compression ignition engine operated on mangifera indica biodiesel by applying Taguchi grey relational analysis. Waste Biomass Valor 2016;7:1309–1325. [CrossRef]
[31] Erdogan S, Balki MK, Aydın S, Sayın C. Performance, emission and combustion characteristic assessment of biodiesels derived from beef bone marrow in a diesel generator. Energy 2020;207:118300. [CrossRef]
[32] Altarazi YSM, Abu Talib AR, Yu J, Gires E, Abdul Ghafir MF, Lucas J, et al. Effects of biofuel on engines performance and emission characteristics: A review. Energy 2022;238:121910. [CrossRef]
[33] Shahir VK, Jawahar CP, Suresh PR, Vinod V. Experimental investigation on performance and emission characteristics of a common rail direct injection engine using animal fat biodiesel blends. Energy Proc 2017;117:283–290. [CrossRef]

Details

Primary Language

English

Subjects

Fluid Mechanics and Thermal Engineering (Other)

Journal Section

Research Article

Authors

Krishnamoorthy Natarajan This is me
0000-0003-4318-2564
India

Saravanan Subramani ^*
0000-0001-9250-8108
India

Ravi Govindasamy This is me
0000-0002-0760-905X
India

Paul Durai Kumar This is me
0000-0002-9056-2693
India

Publication Date

May 16, 2025

Submission Date

March 27, 2024

Acceptance Date

October 13, 2024

Published in Issue

Year 2025 Volume: 11 Number: 3

IZ

https://izlik.org/JA92SL96WN

Cite

RIS / Bibtex

APA

Natarajan, K., Subramani, S., Govindasamy, R., & Kumar, P. D. (2025). Optimization of biodiesel powered CI engine process parameters using AHP and Taguchi grey method – A hybrid approach. Journal of Thermal Engineering, 11(3), 753-764. https://izlik.org/JA92SL96WN

AMA

1.Natarajan K, Subramani S, Govindasamy R, Kumar PD. Optimization of biodiesel powered CI engine process parameters using AHP and Taguchi grey method – A hybrid approach. Journal of Thermal Engineering. 2025;11(3):753-764. https://izlik.org/JA92SL96WN

Chicago

Natarajan, Krishnamoorthy, Saravanan Subramani, Ravi Govindasamy, and Paul Durai Kumar. 2025. “Optimization of Biodiesel Powered CI Engine Process Parameters Using AHP and Taguchi Grey Method – A Hybrid Approach”. Journal of Thermal Engineering 11 (3): 753-64. https://izlik.org/JA92SL96WN.

EndNote

Natarajan K, Subramani S, Govindasamy R, Kumar PD (May 1, 2025) Optimization of biodiesel powered CI engine process parameters using AHP and Taguchi grey method – A hybrid approach. Journal of Thermal Engineering 11 3 753–764.

IEEE

[1]K. Natarajan, S. Subramani, R. Govindasamy, and P. D. Kumar, “Optimization of biodiesel powered CI engine process parameters using AHP and Taguchi grey method – A hybrid approach”, Journal of Thermal Engineering, vol. 11, no. 3, pp. 753–764, May 2025, [Online]. Available: https://izlik.org/JA92SL96WN

ISNAD

Natarajan, Krishnamoorthy - Subramani, Saravanan - Govindasamy, Ravi - Kumar, Paul Durai. “Optimization of Biodiesel Powered CI Engine Process Parameters Using AHP and Taguchi Grey Method – A Hybrid Approach”. Journal of Thermal Engineering 11/3 (May 1, 2025): 753-764. https://izlik.org/JA92SL96WN.

JAMA

1.Natarajan K, Subramani S, Govindasamy R, Kumar PD. Optimization of biodiesel powered CI engine process parameters using AHP and Taguchi grey method – A hybrid approach. Journal of Thermal Engineering. 2025;11:753–764.

MLA

Natarajan, Krishnamoorthy, et al. “Optimization of Biodiesel Powered CI Engine Process Parameters Using AHP and Taguchi Grey Method – A Hybrid Approach”. Journal of Thermal Engineering, vol. 11, no. 3, May 2025, pp. 753-64, https://izlik.org/JA92SL96WN.

Vancouver

1.Krishnamoorthy Natarajan, Saravanan Subramani, Ravi Govindasamy, Paul Durai Kumar. Optimization of biodiesel powered CI engine process parameters using AHP and Taguchi grey method – A hybrid approach. Journal of Thermal Engineering [Internet]. 2025 May 1;11(3):753-64. Available from: https://izlik.org/JA92SL96WN