An integrated study of surface roughness for modelling and optimization of cutting parameters during end milling operation

被引：0
|
作者：
Öktem, H. [1 ]
机构：
[1] Department of Mechanical Engineering, Gebze Vocational School, University of Kocaeli, Gebze-Kocaeli 41420, Turkey
来源：
International Journal of Advanced Manufacturing Technology | 2009年 / 43卷 / 9-10期
关键词：
Carbide cutting tools - Surface roughness - Titanium alloys - Carbides - Metal cutting - Neural networks - Genetic algorithms - Turning - Milling (machining) - Parameter estimation - Aluminum alloys - Design of experiments;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Journal article (JA)
引用
收藏
页码：852 / 861
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