Optimization of Process Parameters in EDM with Magnetic Field Using Grey Relational Analysis with Taguchi Technique

被引:12
|
作者
Anand, G. [1 ]
Satyanarayana, S. [2 ]
Hussain, M. Manzoor [3 ]
机构
[1] Malla Reddy Inst Technol & Sci, Mech Engn Dept, Secunderabad 500100, India
[2] SNIST Ghatkesar, Mech Engn Dept, Hyderabad 501301, Andhra Pradesh, India
[3] JNTUH Coll Engn, Mech Engn Dept, Sulthanpur 502273, Medak, India
关键词
Magnetic-Field-Assistedelectric discharge machining; Grey relational analysis; Optimization; Performance characteristics; FORCE-ASSISTED EDM; MACHINING CHARACTERISTICS;
D O I
10.1016/j.matpr.2017.07.107
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Optimization is one of the techniques used in manufacturing sectors to arrive for the best optimum conditions, which is an essential need to manufacture quality products at lower cost. Grey relational analysis is one of the efficient solutions to the uncertainty, multi-input and discrete data problems. This method is applied to determine the optimal selection of machining parameters such as peak current (I), pulse duration (Ton), voltage (V), Servo reference voltage (Sv) in Electrical Discharge Machining (EDM) process to identify the variations in two performance characteristics of the work material HCHCr i.e. DIN 17350-1.2080 using copper electrode. Thus machining parameters for EDM were optimized to achieve combined performance characteristics objectives of higher metal removal rate and lower surface roughness value with EDM in magnetic effect and standard EDM on work piece during machining process. The metal removal rate and surface finish is improved with assistance of magnetic field. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:7723 / 7730
页数:8
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