Optimization of Diesel Engine Parameters for Performance, Combustion and Emission Parameters using Taguchi and Grey Relational Analysis

Authors

  • Shailaja M

  • A V Sitarama Raju

Keywords:

diesel engine, performance parameters, combustion parameters, emission parameters, taguchi approach, signal to noise ratio, grey relational approach

Abstract

Design and operating parameters of diesel engine were optimized in the present work with respect to performance, combustion and emission parameters. The goal is to reduce brake specific fuel consumption (BSFC), exhaust gas temperature (EGT), ignition delay (ID), emissions (CO, NOx, HC) and to increase peak pressure (PP), brake thermal efficiency (BTHE), heat release (HR) simultaneously with least number of experimental runs. The objective was accomplished through experimental investigations, design of experiments, Taguchi method and Grey Relational Analysis. Four parameters viz. injection timing (IJT), injection pressure (IP), compression ratio (CR) and load were varied at four levels and the (nine) responses were recorded. Taguchi approach was applied to individual response and observed that optimal factor settings for various responses are different.

How to Cite

Shailaja M, & A V Sitarama Raju. (2016). Optimization of Diesel Engine Parameters for Performance, Combustion and Emission Parameters using Taguchi and Grey Relational Analysis. Global Journals of Research in Engineering, 16(A3), 49–61. Retrieved from https://engineeringresearch.org/index.php/GJRE/article/view/1504

Optimization of Diesel Engine Parameters for Performance, Combustion and Emission Parameters using Taguchi and Grey Relational Analysis

Published

2016-07-15