Optimisation of EDM process parameters for AA7050-10 (WT) % B4C composite through ARAS, grey and Taguchi technique

被引:16
|
作者
Kumar, Arvind [1 ]
Rai, Ram Naresh [1 ]
机构
[1] Natl Inst Technol, Dept Prod Engn, Jirania 799046, Tripura, India
关键词
AA7050-B4C composite; additive ratio assessment; ARAS; grey relation analysis; GRA; EDM; Taguchi; analysis of variance; ANOVA; MULTIPLE CRITERIA ASSESSMENT; MACHINING PROCESS PARAMETERS; MULTIRESPONSE OPTIMIZATION; MECHANICAL-PROPERTIES; SURFACE-ROUGHNESS; CUTTING FORCE; MATRIX; MICROSTRUCTURE; POWDER;
D O I
10.1504/IJMPT.2019.102621
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The present paper discusses the development of AA7050-10(wt.) % B4C composite through flux assisted stir casting method and its machinability using die sinking EDM. Taguchi L-16 orthogonal array were used to perform experiments. Material removal rate, surface roughness and tool wear rate were evaluated as machinability measure by considering the concurrent effect of various process parameters. The collected responses were optimised using additive ratio assessment (ARAS) and grey relation analysis and Taguchi technique. Pulse current of 16 A, pulse on time of 200 mu s, and pulse off time of 30 mu s were obtained as the optimum machining parameters. The validity of the Taguchi analysis was further verified by conducting a confirmation experiment. The error estimation for both methods is less than 5%. However, ARAS method gives the least percentage error than grey relation analysis. Hence, ARAS model is suitable to optimise the process parameters of electro discharge machining.
引用
收藏
页码:102 / 120
页数:19
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