Papers by Keyword: Grey-Taguchi Method

Abstract: This study deals with the optimization of the process parameters, with regard to multiple performance characteristics, involved in the electrical discharge machining (EDM) of titanium alloy (Ti6Al4V).Based on the grey-Taguchi method were conducted to examine the effect of EDM parameters (pulse current, open voltage, pulse-on-time, and duty factor) on the electrode wear rate, material removal rate and surface roughness. Experimental results indicate that optimal process parameters can be determined effectively so as to improve multiple EDM qualities through this approach. Furthermore, control charts tell us when special causes of variation are impacting machining process. Control charts are basic and powerful tools in statistical process control and are widely used to control various industrial processes. The aim of statistical process control is to explore the predictability of a process. It was found that the EDM process and product characteristics are stable over time.

Abstract: The Grey-Taguchi method was adopted in this study to optimize the injection molding parameters for the MIM green compacts with multiple quality performance. A Grey relational grade obtained from the Grey relational analysis is used as the quality performance in the Taguchi method. Then, the optimum injection molding parameters are determined using the parameter design proposed by the Taguchi method. The result concluded that the mold temperature (D) is very significant, by the fact that the ANOVA shows its contribution to excellent surface appearance as well as strong and dense green compacts is 38.82%.