Application of hybrid nature-inspired algorithm: Single and bi-objective constrained optimization of magnetic abrasive finishing process parameters

被引：32

作者：

Babbar, Atul ^{[1
]}

Prakash, Chander ^{[2
]}

Singh, Sunpreet ^{[3
]}

Gupta, Munish Kumar ^{[4
]}

Mia, Mozammel ^{[5
]}

Pruncu, Catalin Iulian ^{[5
,6
]}

机构：

[1] Thapar Inst Engn & Technol, Dept Mech Engn, Patiala, Punjab, India

[2] Lovely Profess Univ, Mech Engn, Phagwara, India

[3] Natl Univ Singapore, Mech Engn, Singapore, Singapore

[4] Shandong Univ, Sch Mech Engn, Key Lab High Efficiency & Clean Mech Manufacture, Minist Educ, Jinan 250061, Peoples R China

[5] Imperial Coll London, Mech Engn, Exhibit Rd, London SW7 2AZ, England

[6] Univ Birmingham, Mech Engn Dept, Birmingham B15 2TT, W Midlands, England

来源：

JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T | 2020年 / 9卷 / 04期

关键词：

Firefly algorithm; Magnetic abrasive finishing; Material removal rate; PSO; Surface characteristics; PARTICLE SWARM OPTIMIZATION; MULTIOBJECTIVE OPTIMIZATION; MACHINING PARAMETERS; FIREFLY ALGORITHM; TITANIUM-ALLOY; PSO; METHODOLOGY; PERFORMANCE; BEHAVIOR;

D O I：

10.1016/j.jmrt.2020.05.003

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The manufacturing quality generated by the magnetic abrasive finishing (MAF) of brass depends of some critical process variables. Therefore, in this survey were investigated the optimization of this process taking into account the material removal rate and surface characteristics using a hybrid nature inspired algorithm (particle swarm optimization (PSO) coupled with firefly algorithm (FA)). In the initial step, the design matrix was generated using the Taguchi L16 orthogonal array, thereafter, obtaining the experimental protocol for developing the MAF process. The regression analysis was confronted with the analysis of variance (ANOVA) simulations to facilitate determination of the percentage contribution of each input parameters. The influence of individual and combined process parameters investigated via standard PSO, FA, and hybrid HPSO-FA were used for mono and bi-objective constrained optimization. This innovative way of processing the brass plate revealed that machining time was the most dominant parameter which contributed maximum towards variation in response variables determined. Crown Copyright (C) 2020 Published by Elsevier B.V.

引用

页码：7961 / 7974

页数：14

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