Multi-objective optimisation of CNC turning process using grey based fuzzy logic

被引：19

作者：

Ahilan, C. ^{[1
]}

Kumanan, S. ^{[1
]}

Sivakumaran, N. ^{[2
]}

机构：

[1] Department of Production Engineering, National Institute of Technology

[2] Department of Instrumentation and Controls Engineering, National Institute of Technology

来源：

International Journal of Machining and Machinability of Materials | 2009年 / 5卷 / 04期

关键词：

Analysis of variance; ANOVA; Grey based fuzzy logic; Machining process; Optimisation; Power consumption;

D O I：

10.1504/IJMMM.2009.026902

中图分类号：

学科分类号：

摘要：

Computerised numerical control (CNC) machining is one of the most commonly used manufacturing processes. This paper presents the effect of CNC turning parameters on power consumption and material removal rate using grey based fuzzy logic approach. Through this approach, optimisation of complicated multi-objectives can be converted into optimisation of a single grey-fuzzy reasoning grade. Based on grey-fuzzy reasoning grade, optimum level of parameters has been identified. The significant contributions of parameters are estimated using analysis of variance (ANOVA). Confirmation test is conducted for validation and reported. Copyright © 2009, Inderscience Publishers.

引用

页码：434 / 451

页数：17

共 23 条

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