Fuzzy Embedded Imperialist Competitive Algorithm (ICA) for Multi-Response Optimization during Machining of CFRP (Epoxy) Composites

被引：0
|
作者：
Abhishek, Kumar [1 ]
Datta, Saurav [2 ]
Masanta, Manoj [2 ]
Mahapatra, Siba Sankar [2 ]
机构：
[1] Inst Infrastruct Technol Res & Management, Mech Engn, Ahmadabad 380026, Gujarat, India
[2] Natl Inst Technol, Dept Mech Engn, Rourkela 769008, India
来源：
2017 INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL, INDUSTRIAL, AUTOMATION AND MANAGEMENT SYSTEMS (AMIAMS) - PROCEEDINGS | 2017年
关键词：
Carbon Fiber Reinforced Polymer (CFRP) composites; Fuzzy logic (FL); Imperialist Competitive Algorithm (ICA); Genetic Algorithm (GA);
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Due to widespread application of Carbon Fiber Reinforced Polymer (CFRP) composites mostly in defense and aerospace industries; machining of these materials has become a major concern today. As machinability of CFRP composites is remarkably different from conventional metals; proper understanding of process behavior followed by identifying the most favorable machining environment (optimal setting of process parameters) is of utmost important. The present paper highlights application of nonlinear regression and Fuzzy Logic (FL) in combination with Imperialist Competitive Algorithm (ICA) for selection of optimal process parameters setting for achieving satisfactory machining performance on CFRP (epoxy) composites. Application potential of fuzzy embedded ICA approach has been compared to that of Genetic Algorithm (GA).
引用
收藏
页码：100 / 103
页数：4
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