{"title":"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","authors":"A. Pandey, Ankit Saroj, Anshuman Srivastava","doi":"10.4271/05-16-03-0018","DOIUrl":null,"url":null,"abstract":"A comprehensive literature review of the optimization techniques used for the\n process parameter optimization of Abrasive Jet Machining (AJM), Ultrasonic\n Machining (USM), Laser Beam Machining (LBM), Electrochemical Machining (ECM),\n and Plasma Arc Machining (PAM) are presented in this review article. This review\n article is an extension of the review work carried out by previous researchers\n for the process parameter optimization of non-traditional machining processes\n using various advanced optimization algorithms. The review period considered for\n the same is from 2012 to 2022. The prime motive of this review article is to\n find out the sanguine effects of various optimization techniques used for the\n optimization of various considered objectives of selected non-traditional\n machining processes in addition to deemed materials and foremost process\n parameters. It is found that most of the researchers have more inclination\n towards the minimization of Surface Roughness (SR) compared to the maximization\n of the Material Removal Rate (MRR) as their objective function for AJM and PAM.\n Similarly, for USM and ECM, researchers are more inclined towards the\n maximization of MRR compared to the minimization of SR. Minimization of the\n Heat-Affected Zone (HAZ) and SR are the two most considered response parameters\n for the LBM and its allied processes. This study provides ready-to-use details\n on the use of various advanced optimization techniques for AJM, USM, LBM, ECM,\n and PAM, with the considered workpiece material, process parameters, and imposed\n limitations. This review work is carried out on such a large scale that it will\n help future researchers and industrialists to decide their research\n direction.","PeriodicalId":45859,"journal":{"name":"SAE International Journal of Materials and Manufacturing","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Process Parameter Optimization of Abrasive Jet, Ultrasonic, Laser\\n Beam, Electrochemical, and Plasma Arc Machining Processes Using Optimization\\n Techniques: A Review\",\"authors\":\"A. Pandey, Ankit Saroj, Anshuman Srivastava\",\"doi\":\"10.4271/05-16-03-0018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A comprehensive literature review of the optimization techniques used for the\\n process parameter optimization of Abrasive Jet Machining (AJM), Ultrasonic\\n Machining (USM), Laser Beam Machining (LBM), Electrochemical Machining (ECM),\\n and Plasma Arc Machining (PAM) are presented in this review article. This review\\n article is an extension of the review work carried out by previous researchers\\n for the process parameter optimization of non-traditional machining processes\\n using various advanced optimization algorithms. The review period considered for\\n the same is from 2012 to 2022. The prime motive of this review article is to\\n find out the sanguine effects of various optimization techniques used for the\\n optimization of various considered objectives of selected non-traditional\\n machining processes in addition to deemed materials and foremost process\\n parameters. It is found that most of the researchers have more inclination\\n towards the minimization of Surface Roughness (SR) compared to the maximization\\n of the Material Removal Rate (MRR) as their objective function for AJM and PAM.\\n Similarly, for USM and ECM, researchers are more inclined towards the\\n maximization of MRR compared to the minimization of SR. Minimization of the\\n Heat-Affected Zone (HAZ) and SR are the two most considered response parameters\\n for the LBM and its allied processes. This study provides ready-to-use details\\n on the use of various advanced optimization techniques for AJM, USM, LBM, ECM,\\n and PAM, with the considered workpiece material, process parameters, and imposed\\n limitations. This review work is carried out on such a large scale that it will\\n help future researchers and industrialists to decide their research\\n direction.\",\"PeriodicalId\":45859,\"journal\":{\"name\":\"SAE International Journal of Materials and Manufacturing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SAE International Journal of Materials and Manufacturing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4271/05-16-03-0018\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"TRANSPORTATION SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SAE International Journal of Materials and Manufacturing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4271/05-16-03-0018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Process Parameter Optimization of Abrasive Jet, Ultrasonic, Laser
Beam, Electrochemical, and Plasma Arc Machining Processes Using Optimization
Techniques: A Review
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.