Process Parameter Optimization of Abrasive Jet, Ultrasonic, Laser Beam, Electrochemical, and Plasma Arc Machining Processes Using Optimization Techniques: A Review

IF 0.6 Q4 TRANSPORTATION SCIENCE & TECHNOLOGY
A. Pandey, Ankit Saroj, Anshuman Srivastava
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引用次数: 0

Abstract

A comprehensive literature review of the optimization techniques used for the process parameter optimization of Abrasive Jet Machining (AJM), Ultrasonic Machining (USM), Laser Beam Machining (LBM), Electrochemical Machining (ECM), and Plasma Arc Machining (PAM) are presented in this review article. This review article is an extension of the review work carried out by previous researchers for the process parameter optimization of non-traditional machining processes using various advanced optimization algorithms. The review period considered for the same is from 2012 to 2022. The prime motive of this review article is to find out the sanguine effects of various optimization techniques used for the optimization of various considered objectives of selected non-traditional machining processes in addition to deemed materials and foremost process parameters. It is found that most of the researchers have more inclination towards the minimization of Surface Roughness (SR) compared to the maximization of the Material Removal Rate (MRR) as their objective function for AJM and PAM. Similarly, for USM and ECM, researchers are more inclined towards the maximization of MRR compared to the minimization of SR. Minimization of the Heat-Affected Zone (HAZ) and SR are the two most considered response parameters for the LBM and its allied processes. This study provides ready-to-use details on the use of various advanced optimization techniques for AJM, USM, LBM, ECM, and PAM, with the considered workpiece material, process parameters, and imposed limitations. This review work is carried out on such a large scale that it will help future researchers and industrialists to decide their research direction.
磨料射流、超声、激光束、电化学和等离子弧加工工艺参数优化研究进展
本文对磨料射流加工(AJM)、超声加工(USM)、激光束加工(LBM)、电化学加工(ECM)和等离子弧加工(PAM)的工艺参数优化技术进行了综述。这篇综述文章是以往研究者利用各种先进的优化算法对非传统加工工艺参数优化进行综述工作的延伸。审议期为2012年至2022年。这篇综述文章的主要动机是找出各种优化技术的乐观效果,这些优化技术用于优化所选非传统加工工艺的各种考虑目标,以及所选材料和最重要的工艺参数。研究发现,相对于材料去除率(MRR)的最大化,大多数研究者更倾向于将表面粗糙度(SR)最小化作为AJM和PAM的目标函数。同样,对于USM和ECM,研究人员更倾向于MRR的最大化,而不是SR的最小化。热影响区(HAZ)和SR的最小化是LBM及其相关过程中考虑最多的两个响应参数。本研究提供了AJM、USM、LBM、ECM和PAM的各种先进优化技术的使用细节,并考虑了工件材料、工艺参数和施加的限制。这项综述工作的规模如此之大,将有助于未来的研究人员和实业家确定他们的研究方向。
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来源期刊
SAE International Journal of Materials and Manufacturing
SAE International Journal of Materials and Manufacturing TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
1.30
自引率
12.50%
发文量
23
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