Optimization of Diesel Engine Performance by Taguchi Grey Relational Analysis using Fuel Blends
A. Naresh Kumar1, K. Madhu Babu2, B. Prasanth Kumar3, S. Kiran Kumar4, P. S. Kishore5
1A.Naresh Kumar, Assistant Professor, Department of Mechanical Engineering, Lakireddy balireddy college of engineering, Mylavaram, India.
2K.Madhu Babu, Assistant Professor, Department of Mechanical Engineering, Sree Vahini institute of science & technoligy, Tiruvuru, India.
3B.Prasanth Kumar, Assistant Professor, Department of Mechanical Engineering, Sree Vahini Institute of science & Technology, Tiruvuru, Indian.
4S.Kiran Kumar, Professor, Department of Mechanical Engineering, Sree Vahini Institute of science & Technology, Tiruvuru, Indian.
5P.S.Kishore, Professor, Department of Mechanical Engineering, Andhra University Visakhapatnam, Indian.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 24, 2020. | Manuscript published on March 30, 2020. | PP: 4221-4230 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9249038620/2020©BEIESP | DOI: 10.35940/ijrte.F9249.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this present investigation an attempt was made to exp1ore the effect of fue1 injection timing (FIT), fue1 injection pressure (FIP), Load and exhaust gas recircu1ation (EGR) for various fue1 blends (Pa1m Oil, cotton Seed oi1, n-Butano1) as input parameters on SFC, BTE, CO, HC, NOx and with a minimum number of experiments. In order to reduce the experimenta1 efforts, Taguchi’s L27 orthogona1 array was emp1oyed for design of experiments. An a1gorithm invo1ving the combination of grey reationa1 ana1ysis with Taguchi technique was proposed for the optimization of engine emission and performance. The optimum combination for more brake therma1 efficiency is obtained for n-butanol-IT of 270 bTDC-IP of 200 bar- EGR of 10% load percentage of 100. At the same time optimum combination for minimum nitrogen oxide emission is obtained for CSO-IT of 190 bTDC-IP of 220 bar-EGR of 20 percentage- load percentage of 50. The optimum combination considering all the output parameters was obtained using grey relational analysis and output values for optimum combination was also calculated experimentally. Based on ANOVA, engine load be the most influencing factor (Contribution of load was 57.8 %) for the selected objective of improvement in BSFC and BTE with 1esser pena1ty on emissions (HC, CO, NOx) based on equal weight ages.
Keywords: Biodiesel, Palm oil, Cotton seed oil, n-Butanol, Injection pressure, Injection timing, Exhaust gas recirculation (EGR), Engine Load, Grey relational analysis, Taguchi optimization, ANOVA.
Scope of the Article: Cross-layer Optimization.