Optimization design of parameters with hybrid particle swarm optimization algorithm in multi-hole extrusion process

Wen-Jong Chen, Dyi-Cheng Chen, Wen Cheng Su, Fung Ling Nian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In this paper, we present a Hybrid Particle Swarm Optimization (HPSO) algorithm that combines the Particle Swarm Optimization (PSO) algorithm with the Genetic Algorithm (GA) method. The algorithm is used for investigating the plastic deformation behavior of titanium alloy (Ti-6Al-4V) in a multi-hole extrusion process. The simulation used rigid-plastic finite element (FE) DEFORMTM-3D software to obtain the minimum mandrel bias angle and exit tube bending angle. Results of the simulation indicate that these two angles were significantly less than 0.3 degrees, suggesting that metaheuristic algorithms based on HPSO and FE analysis could be used for general multi-hole extrusion processes.

Original languageEnglish
Title of host publicationAdvances in Electronic Engineering, Communication and Management Vol. 2 - Proceedings of 2011 International Conference on Electronic Engineering, Communication and Management, EECM 2011
Pages279-284
Number of pages6
DOIs
Publication statusPublished - 2012 Feb 2
Event2011 International Conference on Electronic Engineering, Communication and Management, EECM 2011 - Beijing, China
Duration: 2011 Dec 242011 Dec 25

Publication series

NameLecture Notes in Electrical Engineering
Volume140 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other2011 International Conference on Electronic Engineering, Communication and Management, EECM 2011
CountryChina
CityBeijing
Period11-12-2411-12-25

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All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Cite this

Chen, W-J., Chen, D-C., Su, W. C., & Nian, F. L. (2012). Optimization design of parameters with hybrid particle swarm optimization algorithm in multi-hole extrusion process. In Advances in Electronic Engineering, Communication and Management Vol. 2 - Proceedings of 2011 International Conference on Electronic Engineering, Communication and Management, EECM 2011 (pp. 279-284). (Lecture Notes in Electrical Engineering; Vol. 140 LNEE). https://doi.org/10.1007/978-3-642-27296-7_44