Robust Design Optimization Analysis of Experimental Results in High Speed Milling of an Alloy Cast Iron

被引：0
|
作者：
Du M. [1 ]
Wang J. [2 ]
Zhang J. [1 ]
Wang S. [1 ]
机构：
[1] Department of Mechanical Engineering, Kunming University of Science and Technology, Kunming
[2] Department of Mechanical Engineering, Tsinghua University, Beijing
来源：
Zhongguo Jixie Gongcheng/China Mechanical Engineering | 2019年 / 30卷 / 05期
关键词：
Cutting force; Cutting mechanism; High-speed milling; Multi-objective parameter optimization; Surface roughness;
D O I：
10.3969/j.issn.1004-132X.2019.05.008
中图分类号：
学科分类号：
摘要：
Aiming at the problems of high tool costs caused by severe tool wear in high speed machining of difficult-to-cut materials such as a new type alloy cast iron, milling experiments on Cr15Mo were carried out with lower-cost cemented carbide tools. The effects of cutting parameters on cutting forces and surface roughness were investigated. The optimum parameter combination of achieving the grinding effectiveness(Ra=0.4 μm) was obtained, i.e. cutting speed vc=800 m/min, axial cutting depth ap=0.4 mm and feed rate f=0.6 mm/r. Furthermore, the experimental results were theoretically analyzed by using robust design optimization principle. The research results show that the theoretical analysis results are in good agreement with the experimental ones, which provides an effective way of exploring multi-objective parameter optimization for simultaneously realizing high speed, high quality and low cost in machining processes. © 2019, China Mechanical Engineering Magazine Office. All right reserved.
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页码：554 / 559
页数：5
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