Optimization of Straight Cylindrical Turning Using Artificial Bee Colony (ABC) Algorithm

被引：11

作者：

Prasanth R.S.S. ^{[1
]}

Hans Raj K. ^{[1
]}

机构：

[1] Dayalbagh Educational Institute, Agra, 282005, Uttar Pradesh

来源：

Journal of The Institution of Engineers (India): Series C | 2017年 / 98卷 / 02期

关键词：

Artificial bee colony; Differential evolution; Genetic algorithm; Straight cylindrical turning; Surface quality;

D O I：

10.1007/s40032-016-0263-8

中图分类号：

学科分类号：

摘要：

Artificial bee colony (ABC) algorithm, that mimics the intelligent foraging behavior of honey bees, is increasingly gaining acceptance in the field of process optimization, as it is capable of handling nonlinearity, complexity and uncertainty. Straight cylindrical turning is a complex and nonlinear machining process which involves the selection of appropriate cutting parameters that affect the quality of the workpiece. This paper presents the estimation of optimal cutting parameters of the straight cylindrical turning process using the ABC algorithm. The ABC algorithm is first tested on four benchmark problems of numerical optimization and its performance is compared with genetic algorithm (GA) and ant colony optimization (ACO) algorithm. Results indicate that, the rate of convergence of ABC algorithm is better than GA and ACO. Then, the ABC algorithm is used to predict optimal cutting parameters such as cutting speed, feed rate, depth of cut and tool nose radius to achieve good surface finish. Results indicate that, the ABC algorithm estimated a comparable surface finish when compared with real coded genetic algorithm and differential evolution algorithm. © 2016, The Institution of Engineers (India).

引用

页码：171 / 177

页数：6

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