文章基本信息

标题：Applications of optimization techniques for parametric analysis of non-traditional machining processes: A Review
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作者：Shankar Chakraborty ; Bijoy Bhattacharyya ; Sunny Diyaley 等
期刊名称：Management Science Letters
印刷版ISSN：1923-9335
电子版ISSN：1923-9343
出版年度：2019
卷号：9
期号：3
页码：467-494
DOI：10.5267/j.msl.2018.12.004
出版社：Growing Science
摘要：The constrained applications of conventional machining processes in generating complex shape geometries with the desired degree of tolerance and surface finish in various advanced engineering materials are being gradually compensated by the non-traditional machining (NTM) processes. These NTM processes usually have higher procurement, maintenance, operating and tooling cost. Hence, in order to attain their maximum machining performance, they are usually operated at their optimal or near optimal parametric settings which can easily be determined by the application of different optimization techniques. In this paper, 133 international research papers published during 2012-16 on parametric optimization of NTM processes are extensively reviewed to have an idea on the selected process parameters, observed responses, work materials machined and optimization techniques employed in those processes while generating varying part geometries for their industrial use. It is observed that electro discharge machining is the mostly employed NTM process, applied voltage is the identified process parameter with maximum importance, surface roughness and material removal rate are the two maximally preferred responses, different steel grades are the mostly machined work materials and grey relational analysis is the most popular tool utilized for parametric optimization of NTM processes. These observations would help the process engineers to attain the machining performance of the NTM processes at their fullest extents for different work material and shape feature combinations.
关键词：Non;traditional machining process Response Process parameter Work material Optimization