4.7 Article

Optimization studies in high speed turning of Ti-6Al-4V

期刊

APPLIED SOFT COMPUTING
卷 51, 期 -, 页码 105-115

出版社

ELSEVIER
DOI: 10.1016/j.asoc.2016.12.003

关键词

Ti-6Al-4V; Surface roughness; Particle swarm optimization; Bat algorithm; Firefly algorithma

资金

  1. AICTE, New Delhi [20/AICTE/RIFD/RPS(POLICY-1)/2012-13]

向作者/读者索取更多资源

Surface roughness is a major concern to the present manufacturing sector without the wastage of material. Hence, in order to achieve good surface roughness and reduce production time, optimization is necessary. In this study optimization techniques based on swarm intelligence (SI) namely firefly algorithm (FA), particle swarm optimization (PSO) and a newly introduced metaheuristic algorithm namely bat algorithm(BA) has been implemented for optimizing machining parameters namely cutting speed, feed rate, depth of cut and tool flank wear and cutting tool vibrations in order to achieve minimum surface roughness. Two parameters R-a and R-t have been considered for evaluating the surface roughness. The performance of BA algorithm has been compared with FA algorithm and PSO, which is a commonly and widely used optimization algorithm in machining. The results conclude that BA produces better optimization, when compared to FA and PSO. Based on the literature review carried out, this work is a first attempt at using a metaheuristic algorithm namely BA in machining applications. (C) 2016 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据