Simultaneous optimization of multiple performance characteristics in WEDM for machining ZC63/SiC_p MMC

作     者：Thella Babu Rao A.Gopala Krishna 

作者机构：Department of Mechanical EngineeringGITAM University Department of Mechanical EngineeringUniversity College of EngineeringJawaharlal Nehru Technological University 

出 版 物：《Advances in Manufacturing》 (先进制造进展（英文版）)

年 卷 期：2013年第1卷第3期

页      面：265-275页

核心收录：

学科分类：080503[工学-材料加工工程] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 

主　　题：ZC63/SiCp metal matrix composites   Wireelectrical discharge machining (WEDM)   Principalcomponent analysis (PCA) Taguchi method (TM) ~Analysis of variance (ANOVA) 

摘      要：Abstract The compliance of an integrated approach, principal component analysis （PCA）, coupled with Tagu chi＇s robust theory for simultaneous optimization of cor related multiple responses of wire electrical discharge machining （WEDM） process for machining SiCp rein forced ZC63 metal matrix composites （MMCs） is investi gated in this work. The WEDM is proven better for its efficiency to machine MMCs among others, while the particulate size and volume percentage of SiCp with the composite are the utmost important factors. These improve the mechanical properties enormously, however reduce the machining performance. Hence the WEDM experiments are conducted by varying the particulate size, volume fraction, pulseon time, pulseoff time and wire tension. In the view of quality cut, the most important performance indicators of WEDM as surface roughness （Ra）, metal removal rate （MRR）, wire wear ratio （WWR）, kerf （Kw） and white layer thickness （WLT） are measured as respon ses. PCA is used as multiresponse optimization technique to derive the composite principal component （CPC） which acts as the overall quality index in the process. Consequently, Taguchi＇s S/N ratio analysis is applied to optimize the CPC. The derived optimal process responses are confirmed by the experimental validation tests results. The analysis of vari ance is conducted to find the effects of choosing process variables on the overall quality of the machined *** practical possibility of the derived optimal process conditions is also presented using SEM.