Optimization of EDM Parameters on Nonconductive Ceramics Using Grey Relational Analysis
The purpose of this work was to optimize the electrical discharge machining (EDM) parameters of electrically nonconductive ceramics ZrO2 and Al2O3 using grey relational analysis. The multiple performance characteristics associated with the EDM process such as the material removal rate, electrode wear rate, and surface roughness were explored through an experimental study according to an L18 orthogonal array based on the Taguchi experimental design method. During the EDM process, the machining surfaces of nonconductive ceramics were covered with assisting materials Al and Cu foils to attain the threshold of electrical conductivity for EDM process. Moreover, analysis of variance was conducted to examine the significant machining parameters crucially affecting the multiple performance characteristics. In addition, the optimal combination levels of machining parameters were also determined from the response graph of grey relational grades for each level of machining parameters.
Grey relational analysis Multiple performance characteristics Nonconductive ceramics Material removal rate Electrode wear rate Surface roughness Electrical discharge machining
Y.C. Lin H.M. Chow D.A. Wang Y. F. Chen Y.J. Lin
Graduate School of Vehicle & Mechatronic Industry, Nan Kai University of Technology, Caotun, Nantou Department of Mechanical Engineering, Nan Kai University of Technology,Caotun, Nantou 54243, Taiwan
国际会议
The 16th International Symposium on Electromachining(第16届国际电加工会议)
上海
英文
33-39
2010-04-19(万方平台首次上网日期,不代表论文的发表时间)