Determination of optimum amount lubricant in drilling using soft-computing tools: Desired surface roughness

被引：0

作者：

Nandi A.K. ^{[1
]}

Davim J.P. ^{[2
]}

机构：

[1] Department of General Engineering Design, Central Mechanical Engineering Research Institute, WB, Durgapur 713209, MG Avenue

[2] Department of Mechanical Engineering, University of Aveiro, Campus Santiago

来源：

International Journal of Materials and Product Technology | 2010年 / 37卷 / 1-2期

关键词：

Drilling; FLC; Fuzzy Logic Controller; GA; Genetic Algorithm; Optimum amount of lubricant; Surface roughness;

D O I：

10.1504/ijmpt.2010.029462

中图分类号：

学科分类号：

摘要：

Here, an approach based on soft-computing tools is proposed to control the optimum amount of lubricant required in drilling to achieve a desired surface roughness. Two Fuzzy Logic Controllers (FLCs), using TSK-type and Mamdani-type fuzzy rules are developed which are later adopted to optimise the lubricant rate using Genetic Algorithm (GA). A comparison of optimisation results based on FLCs with experimental values shows that FLC with TSK-type fuzzy rule is more efficient for real implementation. Copyright © 2010 Inderscience Enterprises Ltd.

引用

页码：102 / 116

页数：14

共 23 条

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