English  |  正體中文  |  简体中文  |  Items with full text/Total items : 6480/11652
Visitors : 20640676      Online Users : 155
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/13785

Title: Optimization Design of Parameters with Hybrid Particle Swarm Optimization Algorithm in Multi-hole Extrusion Process
Authors: Chen, Wen-Jong;Chen, Dyi-Cheng;Su, Wen-Cheng;Nian, Fung-Ling
Contributors: 工業教育與技術學系
Keywords: Multi-hole extrusion;Particle Swarm Optimization;Finite element;Genetic Algorithm
Date: 2012
Issue Date: 2012-08-27T10:55:31Z
Publisher: SpringerLink
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.
Relation: Advances in Electronic Engineering, Communication and Management Vol.2, Lecture Notes in Electrical Engineering, 140: 279-284
Appears in Collections:[工業教育與技術學系] 期刊論文

Files in This Item:

File SizeFormat
index.html0KbHTML619View/Open


All items in NCUEIR are protected by copyright, with all rights reserved.

 


DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback