基于粒子群算法的GMAW焊接输入参数优化

IF 1.3 Q3 ENGINEERING, MECHANICAL PERIODICA POLYTECHNICA-MECHANICAL ENGINEERING Pub Date : 2022-03-09 DOI:10.3311/ppme.14127
Mohamed Mezaache, B. Babes, S. Chaouch
{"title":"基于粒子群算法的GMAW焊接输入参数优化","authors":"Mohamed Mezaache, B. Babes, S. Chaouch","doi":"10.3311/ppme.14127","DOIUrl":null,"url":null,"abstract":"In order to conceive command systems for welding equipment based on intelligence techniques similar to human thinking; it is better to use artificial intelligence methods, for example: Genetic algorithms and particle swarm optimization. Freshly, this latter has received increased attention in many research fields. This paper discuss the application of particle swarm optimization algorithm to optimize the welding process parameters and obtain a better Width of Head Affected Zone (WHAZ) in the welding machine which is gas metal arc welding. The effect of four main welding variables in the gas metal arc welding process, namely welding speed, welding voltage, nozzle-to-plate distance and wire feed speed on the WHAZ are studied. A source code is developed in MATLAB 8.3 to perform the optimization.","PeriodicalId":43630,"journal":{"name":"PERIODICA POLYTECHNICA-MECHANICAL ENGINEERING","volume":"132 1","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization of Welding Input Parameters Using PSO Technique for Minimizing HAZ Width in GMAW\",\"authors\":\"Mohamed Mezaache, B. Babes, S. Chaouch\",\"doi\":\"10.3311/ppme.14127\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to conceive command systems for welding equipment based on intelligence techniques similar to human thinking; it is better to use artificial intelligence methods, for example: Genetic algorithms and particle swarm optimization. Freshly, this latter has received increased attention in many research fields. This paper discuss the application of particle swarm optimization algorithm to optimize the welding process parameters and obtain a better Width of Head Affected Zone (WHAZ) in the welding machine which is gas metal arc welding. The effect of four main welding variables in the gas metal arc welding process, namely welding speed, welding voltage, nozzle-to-plate distance and wire feed speed on the WHAZ are studied. A source code is developed in MATLAB 8.3 to perform the optimization.\",\"PeriodicalId\":43630,\"journal\":{\"name\":\"PERIODICA POLYTECHNICA-MECHANICAL ENGINEERING\",\"volume\":\"132 1\",\"pages\":\"\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2022-03-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PERIODICA POLYTECHNICA-MECHANICAL ENGINEERING\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3311/ppme.14127\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PERIODICA POLYTECHNICA-MECHANICAL ENGINEERING","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3311/ppme.14127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0

摘要

为了构想基于类似人类思维的智能技术的焊接设备指挥系统;最好使用人工智能方法,例如:遗传算法和粒子群优化。最近,后者在许多研究领域受到越来越多的关注。本文讨论了应用粒子群优化算法对金属气体保护弧焊机的焊接工艺参数进行优化,以获得较好的焊头影响区宽度。研究了气体保护金属电弧焊过程中焊接速度、焊接电压、喷嘴到板的距离和送丝速度等4个主要焊接变量对热响应区的影响。在MATLAB 8.3中开发了源代码来执行优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Optimization of Welding Input Parameters Using PSO Technique for Minimizing HAZ Width in GMAW
In order to conceive command systems for welding equipment based on intelligence techniques similar to human thinking; it is better to use artificial intelligence methods, for example: Genetic algorithms and particle swarm optimization. Freshly, this latter has received increased attention in many research fields. This paper discuss the application of particle swarm optimization algorithm to optimize the welding process parameters and obtain a better Width of Head Affected Zone (WHAZ) in the welding machine which is gas metal arc welding. The effect of four main welding variables in the gas metal arc welding process, namely welding speed, welding voltage, nozzle-to-plate distance and wire feed speed on the WHAZ are studied. A source code is developed in MATLAB 8.3 to perform the optimization.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.80
自引率
7.70%
发文量
33
审稿时长
20 weeks
期刊介绍: Periodica Polytechnica is a publisher of the Budapest University of Technology and Economics. It publishes seven international journals (Architecture, Chemical Engineering, Civil Engineering, Electrical Engineering, Mechanical Engineering, Social and Management Sciences, Transportation Engineering). The journals have free electronic versions.
期刊最新文献
Investigating Particle Paths in Intracranial Aneurysms: A Parametric Study The Critical Length is a Good Measure to Distinguish between Stick Balancing in the ML and AP Directions Global Approach on the Shear and Cross Tension Strength of Resistance Spot Welded Thin Steel Sheets Photovoltaic Energy Generation in Hungary: Potentials of Green Hydrogen Production by PEM Technology Numerical Analysis to Investigate the Impact of Skirt Geometric Parameters on Secondary Piston Movement in a Single-cylinder Diesel Engine
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1