A flexible fixture system with integrated position optimization for large thin-walled component assembly

IF 9.1 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Changhui Liu , Ke Jin , Yixi Zhao , Xiaojia Liu , Jianzhi Sun , Xin Li , Qirong Tang
{"title":"A flexible fixture system with integrated position optimization for large thin-walled component assembly","authors":"Changhui Liu ,&nbsp;Ke Jin ,&nbsp;Yixi Zhao ,&nbsp;Xiaojia Liu ,&nbsp;Jianzhi Sun ,&nbsp;Xin Li ,&nbsp;Qirong Tang","doi":"10.1016/j.rcim.2024.102929","DOIUrl":null,"url":null,"abstract":"<div><div>In the demanding sectors of shipbuilding and aerospace, the assembly of large thin-walled components is a pivotal process, challenged by the need to minimize part deformation and assembly gaps. This study introduces an innovative flexible fixture system designed to enhance assembly accuracy by optimizing fixture layouts using the Tabu Search Algorithm (TSA). The proposed system not only adapts to various shapes and sizes but also demonstrates a significant reduction in assembly gaps through computational modeling and a case study involving two thin plates. The findings indicate that the optimized fixture layouts achieved through TSA substantially minimize assembly gaps and deformation under gravitational forces, suggesting a potential for substantial cost savings and efficiency improvements in manufacturing processes. Future research will explore scalability and real-world application in diverse manufacturing environments, aiming to refine fixture adaptability and further reduce setup times.</div></div>","PeriodicalId":21452,"journal":{"name":"Robotics and Computer-integrated Manufacturing","volume":"93 ","pages":"Article 102929"},"PeriodicalIF":9.1000,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Robotics and Computer-integrated Manufacturing","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0736584524002163","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

In the demanding sectors of shipbuilding and aerospace, the assembly of large thin-walled components is a pivotal process, challenged by the need to minimize part deformation and assembly gaps. This study introduces an innovative flexible fixture system designed to enhance assembly accuracy by optimizing fixture layouts using the Tabu Search Algorithm (TSA). The proposed system not only adapts to various shapes and sizes but also demonstrates a significant reduction in assembly gaps through computational modeling and a case study involving two thin plates. The findings indicate that the optimized fixture layouts achieved through TSA substantially minimize assembly gaps and deformation under gravitational forces, suggesting a potential for substantial cost savings and efficiency improvements in manufacturing processes. Future research will explore scalability and real-world application in diverse manufacturing environments, aiming to refine fixture adaptability and further reduce setup times.
大型薄壁构件装配柔性夹具集成位置优化系统
在造船和航空航天等要求苛刻的行业,大型薄壁部件的装配是一个关键过程,需要最大限度地减少零件变形和装配间隙。本研究介绍了一种创新的柔性夹具系统,旨在通过使用禁忌搜索算法(TSA)优化夹具布局来提高装配精度。所提出的系统不仅适应各种形状和尺寸,而且通过计算建模和涉及两个薄板的案例研究表明,装配间隙显著减少。研究结果表明,通过TSA实现的优化夹具布局大大减少了重力作用下的装配间隙和变形,这表明在制造过程中有可能大幅节省成本和提高效率。未来的研究将探索可扩展性和在不同制造环境中的实际应用,旨在改进夹具适应性并进一步缩短安装时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Robotics and Computer-integrated Manufacturing
Robotics and Computer-integrated Manufacturing 工程技术-工程:制造
CiteScore
24.10
自引率
13.50%
发文量
160
审稿时长
50 days
期刊介绍: The journal, Robotics and Computer-Integrated Manufacturing, focuses on sharing research applications that contribute to the development of new or enhanced robotics, manufacturing technologies, and innovative manufacturing strategies that are relevant to industry. Papers that combine theory and experimental validation are preferred, while review papers on current robotics and manufacturing issues are also considered. However, papers on traditional machining processes, modeling and simulation, supply chain management, and resource optimization are generally not within the scope of the journal, as there are more appropriate journals for these topics. Similarly, papers that are overly theoretical or mathematical will be directed to other suitable journals. The journal welcomes original papers in areas such as industrial robotics, human-robot collaboration in manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信