文章基本信息

标题：Multi-objective Optimization of Machined Surface Integrity for Hard Turning Process
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作者：Caixu Yue ; Liquan Wang ; Jun Liu 等
期刊名称：International Journal of Smart Home
印刷版ISSN：1975-4094
出版年度：2016
卷号：10
期号：6
页码：71-76
DOI：10.14257/ijsh.2016.10.6.08
出版社：SERSC
摘要：Hard turning has characteristics of good processing flexibility and environmental performance. Under certain processing conditions it has more advantages than grinding process. Also, it has become the new process which has broad prospects for development. After process of hard cutting, the integrity of machined surface plays a vital role for performance of the workpiece. In this paper, the integrity of machined surface (surface roughness and the thickness of the plastic deformation) is focused on for hard turning process of die steel Cr12MoV. The multi-objective optimization was adopted. On the basis of revealing the relationship between cutting conditions and surface integrity indicators, combined with response surface methodology (RSM) the correspondence between the surface integrity evaluation and cutting parameters is established. By improved particle swarm algorithm a multi-objective optimization of surface integrity prediction was achieved, and the relative optimal cutting parameters were obtained. The research results of this paper provide the theoretical basis and reference for optimization of the experimental conditions.
关键词：Hard Cutting; ; D ; ie steel Cr12MoV; Machined surface integrity; Multi- ; objective optimization