利用实验设计支持多任务工业机器人操作的数字孪生方法

IF 1.8 4区 工程技术 Q3 ENGINEERING, MECHANICAL
David Guerra-Zubiaga, Matheus Cardoso dos Santos, Razvan Cristian Voicu, Gershom Richards, Sean Gosnell, Gustavo Franco Barbosa
{"title":"利用实验设计支持多任务工业机器人操作的数字孪生方法","authors":"David Guerra-Zubiaga, Matheus Cardoso dos Santos, Razvan Cristian Voicu, Gershom Richards, Sean Gosnell, Gustavo Franco Barbosa","doi":"10.1007/s40430-024-05114-3","DOIUrl":null,"url":null,"abstract":"<p>The manufacturing industry recognizes drilling operations as a significant portion of production, often accounting for a substantial part of overall costs. In the transformative wave of Industry 4.0, new technologies have emerged, presenting remarkable opportunities to enhance machining processes. Thus, this study integrates digital twins (DT) technology to refine drilling operations. Within this framework, a robot actively executed drilling tasks, with the DT closely monitoring and regulating the drilling speed. This research further established a connectivity bridge that facilitates synchronizing the virtual system with the operational process. The article presents a design of experiments in a virtual simulation space to analyze the impact of various parameters. This approach aimed to pinpoint the robot joints wielding the most significant influence on the comprehensive drilling operations sequence. The findings underscored that the J4 joint of the FANUC robot model M-16iB/20 stood out as a critical contributor to the process, influencing it by an impressive margin of 16%. This research demonstrates a promising avenue for harnessing digital twin technology to streamline and optimize manufacturing production, setting a precedent for future explorations in the field.</p>","PeriodicalId":17252,"journal":{"name":"Journal of The Brazilian Society of Mechanical Sciences and Engineering","volume":"56 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A digital twin approach to support a multi-task industrial robot operation using design of experiments\",\"authors\":\"David Guerra-Zubiaga, Matheus Cardoso dos Santos, Razvan Cristian Voicu, Gershom Richards, Sean Gosnell, Gustavo Franco Barbosa\",\"doi\":\"10.1007/s40430-024-05114-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The manufacturing industry recognizes drilling operations as a significant portion of production, often accounting for a substantial part of overall costs. In the transformative wave of Industry 4.0, new technologies have emerged, presenting remarkable opportunities to enhance machining processes. Thus, this study integrates digital twins (DT) technology to refine drilling operations. Within this framework, a robot actively executed drilling tasks, with the DT closely monitoring and regulating the drilling speed. This research further established a connectivity bridge that facilitates synchronizing the virtual system with the operational process. The article presents a design of experiments in a virtual simulation space to analyze the impact of various parameters. This approach aimed to pinpoint the robot joints wielding the most significant influence on the comprehensive drilling operations sequence. The findings underscored that the J4 joint of the FANUC robot model M-16iB/20 stood out as a critical contributor to the process, influencing it by an impressive margin of 16%. This research demonstrates a promising avenue for harnessing digital twin technology to streamline and optimize manufacturing production, setting a precedent for future explorations in the field.</p>\",\"PeriodicalId\":17252,\"journal\":{\"name\":\"Journal of The Brazilian Society of Mechanical Sciences and Engineering\",\"volume\":\"56 1\",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of The Brazilian Society of Mechanical Sciences and Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s40430-024-05114-3\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of The Brazilian Society of Mechanical Sciences and Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s40430-024-05114-3","RegionNum":4,"RegionCategory":"工程技术","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

制造业认为钻孔作业是生产的重要组成部分,往往占总成本的很大一部分。在工业 4.0 的变革浪潮中,新技术不断涌现,为提升加工流程提供了难得的机遇。因此,本研究整合了数字孪生(DT)技术来改进钻孔操作。在此框架内,机器人主动执行钻孔任务,DT 密切监控并调节钻孔速度。这项研究进一步建立了一座连接桥梁,促进了虚拟系统与操作过程的同步。文章介绍了虚拟仿真空间中的实验设计,以分析各种参数的影响。这种方法旨在找出对综合钻孔操作序列影响最大的机器人关节。研究结果表明,FANUC M-16iB/20 型机器人的 J4 接头对钻孔过程的影响最大,达到了惊人的 16%。这项研究为利用数字孪生技术简化和优化制造生产开辟了一条前景广阔的途径,为该领域未来的探索开创了先河。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A digital twin approach to support a multi-task industrial robot operation using design of experiments

A digital twin approach to support a multi-task industrial robot operation using design of experiments

The manufacturing industry recognizes drilling operations as a significant portion of production, often accounting for a substantial part of overall costs. In the transformative wave of Industry 4.0, new technologies have emerged, presenting remarkable opportunities to enhance machining processes. Thus, this study integrates digital twins (DT) technology to refine drilling operations. Within this framework, a robot actively executed drilling tasks, with the DT closely monitoring and regulating the drilling speed. This research further established a connectivity bridge that facilitates synchronizing the virtual system with the operational process. The article presents a design of experiments in a virtual simulation space to analyze the impact of various parameters. This approach aimed to pinpoint the robot joints wielding the most significant influence on the comprehensive drilling operations sequence. The findings underscored that the J4 joint of the FANUC robot model M-16iB/20 stood out as a critical contributor to the process, influencing it by an impressive margin of 16%. This research demonstrates a promising avenue for harnessing digital twin technology to streamline and optimize manufacturing production, setting a precedent for future explorations in the field.

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
3.60
自引率
13.60%
发文量
536
审稿时长
4.8 months
期刊介绍: The Journal of the Brazilian Society of Mechanical Sciences and Engineering publishes manuscripts on research, development and design related to science and technology in Mechanical Engineering. It is an interdisciplinary journal with interfaces to other branches of Engineering, as well as with Physics and Applied Mathematics. The Journal accepts manuscripts in four different formats: Full Length Articles, Review Articles, Book Reviews and Letters to the Editor. Interfaces with other branches of engineering, along with physics, applied mathematics and more Presents manuscripts on research, development and design related to science and technology in mechanical engineering.
×
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