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Experimental study and machining parameter optimization in milling thin-walled plates based on NSGA-II
Qu S(曲胜); Zhao JB(赵吉宾); Wang TR(王天然)
Department装备制造技术研究室
Source PublicationInternational Journal of Advanced Manufacturing Technology
ISSN0268-3768
2017
Volume89Issue:5-8Pages:2399–2409
Indexed BySCI ; EI
EI Accession number20163402723275
WOS IDWOS:000396101100095
Contribution Rank1
Funding OrganizationNational Basic Research Program of China (Grant No. 2011CB302400) and the National Natural Science Foundation of China (Grant No.51175495).
KeywordThin-walled Plates Machining Parameters Optimization Nsga-ii
AbstractThe selection of machining parameters in milling thin-walled plates affects deformation, quality, and productivity of the machined parts. This paper presents an optimization procedure to determine and validate the optimum machining parameters in milling thin-walled plates. The regression models for cutting force and surface roughness are developed as objective functions according to experimental results. Besides, the influences of machining parameters on cutting force and surface roughness are also investigated. The objectives under investigation in this study are cutting force, surface roughness, and material removal rate subjected to constraints conditions. As the effects of milling parameters on optimization objectives are conflicting in nature, the multi-objective optimization problem in thin-walled plates milling is proposed. A non-dominated sorting genetic algorithm (NSGA-II) is then adopted to solve this multi-objective optimization problem. The optimized combinations of machining parameters are achieved by the Pareto optimal solutions, and these solutions are verified by the chatter stability.
Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectAutomation & Control Systems ; Engineering, Manufacturing
WOS KeywordSORTING GENETIC ALGORITHM ; MULTIOBJECTIVE OPTIMIZATION ; CUTTING PARAMETERS ; NEURAL-NETWORK ; OPERATIONS ; PREDICTION
WOS Research AreaAutomation & Control Systems ; Engineering
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/18861
Collection智能产线与系统研究室
Corresponding AuthorQu S(曲胜)
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
Recommended Citation
GB/T 7714
Qu S,Zhao JB,Wang TR. Experimental study and machining parameter optimization in milling thin-walled plates based on NSGA-II[J]. International Journal of Advanced Manufacturing Technology,2017,89(5-8):2399–2409.
APA Qu S,Zhao JB,&Wang TR.(2017).Experimental study and machining parameter optimization in milling thin-walled plates based on NSGA-II.International Journal of Advanced Manufacturing Technology,89(5-8),2399–2409.
MLA Qu S,et al."Experimental study and machining parameter optimization in milling thin-walled plates based on NSGA-II".International Journal of Advanced Manufacturing Technology 89.5-8(2017):2399–2409.
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