Application of Grey-Fuzzy Approach for Optimization of CNC Turning Process

被引：8
|
作者：
Palanisamy, D. [1 ]
Senthil, P. [1 ]
机构：
[1] Natl Inst Technol, Dept Prod Engn, Tiruchirappalli 620015, Tamil Nadu, India
来源：
MATERIALS TODAY-PROCEEDINGS | 2018年 / 5卷 / 02期
关键词：
PH stainless steel; Grey-Fuzzy; CNC machining; Power consumption; Surface Roughness; PARAMETERS;
D O I：
10.1016/j.matpr.2017.11.321
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This present investigation details the determination of optimum machining conditions for turning of PH stainless steel by grey fuzzy approach which is a fast and effective optimization technique having combinatorial advantages of both grey system and fuzzy logic approach. Taguchi's design of experiment method is employed for designing and an L27 orthogonal array is selected for performing the experiments. The cutting speed, feed rate and depth of cut are considered as input variables. The surface roughness and power consumption are deemed as performance characteristics. Taguchi based grey system approach and grey-fuzzy grade are used to evaluate the relationship between input variables and performance measures. To convert the multi-quality characteristics into a single performance index, the fuzzy inference system is used. It is proved from the investigation that the proposed method of optimization technique improves the multi performance characteristics effectively. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码：6645 / 6654
页数：10
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