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ABSTRACT
This experimental study was carried out on a CI engine using Mangifera indica biodiesel for performance optimization using the Taguchi method and grey relational analysis (GRA). This paper presents the combined effect of six input parameters, namely compression ratio, injection pressure, injection nozzle geometry, additive, fuel fraction and exhaust gas recirculation (EGR), in controlling seven output variables, namely brake specific fuel consumption (BSFC), brake thermal efficiency (BTE), CO, HC, CO2, NOx and smoke. Five levels were selected for each input parameter and unequal weightage assigned to each output variable. Taguchi's L25 orthogonal array has been applied for reducing the number of experiments. The data obtained from the experiments has been analyzed using S/N ratio and GRA to obtain the optimum combination of six input parameters. The results of the analysis were further confirmed through experiments. The tests were conducted on a CI engine at part load and full load to optimize the performance. Deviations in predicted values of grey relational grade (GRG) are 4.48 and 2.61% of the experimental values at part load and full load, respectively, justifying the application of the Taguchi GRA method for multi-objective optimization of CI engine performance. The GRG improvements with Mangifera indica biodiesel blend are 57.5% at part load and 68.3% at full load compared to GRG at initial settings of the diesel engine.
Acknowledgments
The authors would like to thank Indian Institute of Technology Bombay (IITB), India, for allowing us to use the Sophisticated Analytical Instruments Facility (SAIF) for testing Mangifera indica methyl ester.
Disclosure statement
No potential conflict of interest was reported by the authors.