基于布谷鸟搜索算法的无约束和约束条件下电阻点焊工艺优化

IF 0.5 Q4 ENGINEERING, INDUSTRIAL

International Journal of Manufacturing Research Pub Date : 2019-01-01 DOI:10.1504/IJMR.2019.10015740

R. Dandagwhal, C. Chavan, C. Wani

{"title":"基于布谷鸟搜索算法的无约束和约束条件下电阻点焊工艺优化","authors":"R. Dandagwhal, C. Chavan, C. Wani","doi":"10.1504/IJMR.2019.10015740","DOIUrl":null,"url":null,"abstract":"The optimum selection of process parameters is essential for a designer, as it incur high initial investment, power and; operating and maintenance costs. This article presents optimisation aspects of resistance spot welding process using cuckoo search algorithm. The parameters are studied critically to obtain the optimum settings satisfying one or more quality characteristics. Some constrained and unconstrained single as well as multi-objective optimisation problems related to the practical case studies are solved. The obtained results are compared with those derived by the past researchers. It is found that the present results are better than the previous results in all the cases. The solved examples illustrated a novel effectiveness of the presented algorithm and its application suitability in the field of resistance spot welding. [Submitted 18 November 2017; Accepted 30 June 2018]","PeriodicalId":40033,"journal":{"name":"International Journal of Manufacturing Research","volume":"44 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimization of resistance spot welding process for real unconstrained and constrained scenarios using cuckoo search algorithm\",\"authors\":\"R. Dandagwhal, C. Chavan, C. Wani\",\"doi\":\"10.1504/IJMR.2019.10015740\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The optimum selection of process parameters is essential for a designer, as it incur high initial investment, power and; operating and maintenance costs. This article presents optimisation aspects of resistance spot welding process using cuckoo search algorithm. The parameters are studied critically to obtain the optimum settings satisfying one or more quality characteristics. Some constrained and unconstrained single as well as multi-objective optimisation problems related to the practical case studies are solved. The obtained results are compared with those derived by the past researchers. It is found that the present results are better than the previous results in all the cases. The solved examples illustrated a novel effectiveness of the presented algorithm and its application suitability in the field of resistance spot welding. [Submitted 18 November 2017; Accepted 30 June 2018]\",\"PeriodicalId\":40033,\"journal\":{\"name\":\"International Journal of Manufacturing Research\",\"volume\":\"44 1\",\"pages\":\"\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Manufacturing Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJMR.2019.10015740\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Manufacturing Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJMR.2019.10015740","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}

引用次数: 1

摘要

工艺参数的最佳选择对于设计人员来说至关重要，因为它会产生高初始投资，功率和;运营和维护成本。本文介绍了利用布谷鸟搜索算法对电阻点焊工艺进行优化的几个方面。对参数进行了严格的研究，以获得满足一个或多个质量特性的最佳设置。解决了与实际案例研究相关的一些有约束和无约束的单目标和多目标优化问题。所得结果与前人的研究结果进行了比较。在所有情况下，本文的结果都优于以往的结果。算例表明了该算法的有效性和在电阻点焊领域的适用性。[2017年11月18日提交;接受2018年6月30日]

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Optimization of resistance spot welding process for real unconstrained and constrained scenarios using cuckoo search algorithm

The optimum selection of process parameters is essential for a designer, as it incur high initial investment, power and; operating and maintenance costs. This article presents optimisation aspects of resistance spot welding process using cuckoo search algorithm. The parameters are studied critically to obtain the optimum settings satisfying one or more quality characteristics. Some constrained and unconstrained single as well as multi-objective optimisation problems related to the practical case studies are solved. The obtained results are compared with those derived by the past researchers. It is found that the present results are better than the previous results in all the cases. The solved examples illustrated a novel effectiveness of the presented algorithm and its application suitability in the field of resistance spot welding. [Submitted 18 November 2017; Accepted 30 June 2018]

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

International Journal of Manufacturing Research Engineering-Industrial and Manufacturing Engineering

CiteScore

0.90

自引率

0.00%

发文量

期刊介绍： Manufacturing contributes significantly to modern civilization and creates momentum that drives today"s economy. Much research work has been devoted to improving manufactured product quality and manufacturing process efficiency for many decades. Thanks to recent advances in computer and network technologies, sensors, control systems and manufacturing machines, manufacturing research has progressed to a new level. In addition, new research areas in manufacturing are emerging to address problems encountered in the evolving manufacturing environment, such as the increasing business practice of globalisation and outsourcing. This dedicated research journal has been established to report state-of-the-art and new developments in modern manufacturing research.