Multi-response optimization of diesel engine performance parameters using thumba biodiesel-diesel blends by applying the Taguchi method and grey relational analysis

被引:60
|
作者
Karnwal, A. [1 ]
Hasan, M. M. [2 ]
Kumar, N. [3 ]
Siddiquee, N. [2 ]
Khan, Z. A. [2 ]
机构
[1] Krishna Inst Engn & Technol, Dept Mech Engn, Ghaziabad 201206, India
[2] Jamia Millia Islamia, Dept Mech Engn, New Delhi 110025, India
[3] Delhi Technol Univ, Dept Mech Engn, Delhi 110042, India
关键词
Taguchi method; Grey relational analysis; Compression ratio; Nozzle opening pressure; Injection timing; Optimization; EMISSION CHARACTERISTICS; SEED OIL; ESTER;
D O I
10.1007/s12239-011-0070-4
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper presents an experimental study that involves an application of the Taguchi method and grey relational analysis to determine the optimum factor level to obtain optimum multiple-performance characteristics of a diesel engine run with different low-percentage thumba biodiesel-diesel blends. Four factors, namely, low-percentage thumba biodiesel-diesel blend, compression ratio, nozzle opening pressure and injection timing were each considered at three levels. An L-9 orthogonal array was used to collect data for various engine performance- and emission-related responses under different engine loads. The signal-to-noise (S/N) ratio and grey relational analysis were used for data analysis. The results of the study revealed that the combination of a blend consisting of 30% thumba biodiesel (B30), a compression ratio of 14, a nozzle opening pressure of 250 bar and an injection timing of 20A degrees produces maximum multiple performance of a diesel engine with minimum multiple emissions from the engine.
引用
收藏
页码:599 / 610
页数:12
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