论文信息 - Multi-response Optimization of Spring Parameters of Two Wheeler Rear Suspension System Using Grey Relational Analysis in Taguchi Method

Multi-response Optimization of Spring Parameters of Two Wheeler Rear Suspension System Using Grey Relational Analysis in Taguchi Method

In this paper, a suitable approach for the optimization of spring parameters, namely spring wire diameter, spring index and number of active coils of two wheeler rear suspension systems with multiple responses such as strain energy and weight based on orthogonal arrays with grey relational analysis is used. A grey relational grade is obtained from the grey analysis. Based on the grey relational grade, optimum levels of parameters have been identified and significant contribution of parameters is determined by ANOVA. Confirmation test is conducted to validate the test result. Experimental results have shown that the responses of spring can be improved effectively through this novel approach. Keyword- Rear suspension, Coil spring, Strain energy, Taguchi method, ANOVA, Grey relational analysis.

[2] Genichi Taguchi,et al. Introduction to quality engineering.... , 2014 .

[3] Ming-Chang Jeng,et al. Optimization of turning operations with multiple performance characteristics using the Taguchi method and Grey relational analysis , 2009 .

[4] T. R. Bement,et al. Taguchi techniques for quality engineering , 1995 .

[5] Virgil Moring Faires,et al. Design of Machine Elements , 1970 .

[6] Margaret J. Robertson,et al. Design and Analysis of Experiments , 2006, Handbook of statistics.

[7] T D Gillespie,et al. Fundamentals of Vehicle Dynamics , 1992 .

[8] A. Haq,et al. Multi response optimization of machining parameters of drilling Al/SiC metal matrix composite using grey relational analysis in the Taguchi method , 2008 .