数字工程方法在机电一体化设计过程中的实际应用

Q2 Engineering Designs Pub Date : 2023-07-14 DOI:10.3390/designs7040093
B. Gerschütz, C. Sauer, Andreas Kormann, S. Nicklas, S. Goetz, Matthias Roppel, S. Tremmel, Kristin Paetzold-Byhain, S. Wartzack
{"title":"数字工程方法在机电一体化设计过程中的实际应用","authors":"B. Gerschütz, C. Sauer, Andreas Kormann, S. Nicklas, S. Goetz, Matthias Roppel, S. Tremmel, Kristin Paetzold-Byhain, S. Wartzack","doi":"10.3390/designs7040093","DOIUrl":null,"url":null,"abstract":"This work aims to evaluate the current state of research on the use of artificial intelligence, deep learning, digitalization, and Data Mining in product development, mainly in the mechanical and mechatronic domain. These methods, collectively referred to as “digital engineering”, have the potential to disrupt the way products are developed and improve the efficiency of the product development process. However, their integration into current product development processes is not yet widespread. This work presents a novel consolidated view of the current state of research on digital engineering in product development by a literature review. This includes discussing the methods of digital engineering, introducing a product development process, and presenting results classified by their individual area of application. The work concludes with an evaluation of the literature analysis results and a discussion of future research potentials.","PeriodicalId":53150,"journal":{"name":"Designs","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Digital Engineering Methods in Practical Use during Mechatronic Design Processes\",\"authors\":\"B. Gerschütz, C. Sauer, Andreas Kormann, S. Nicklas, S. Goetz, Matthias Roppel, S. Tremmel, Kristin Paetzold-Byhain, S. Wartzack\",\"doi\":\"10.3390/designs7040093\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work aims to evaluate the current state of research on the use of artificial intelligence, deep learning, digitalization, and Data Mining in product development, mainly in the mechanical and mechatronic domain. These methods, collectively referred to as “digital engineering”, have the potential to disrupt the way products are developed and improve the efficiency of the product development process. However, their integration into current product development processes is not yet widespread. This work presents a novel consolidated view of the current state of research on digital engineering in product development by a literature review. This includes discussing the methods of digital engineering, introducing a product development process, and presenting results classified by their individual area of application. The work concludes with an evaluation of the literature analysis results and a discussion of future research potentials.\",\"PeriodicalId\":53150,\"journal\":{\"name\":\"Designs\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Designs\",\"FirstCategoryId\":\"1094\",\"ListUrlMain\":\"https://doi.org/10.3390/designs7040093\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Designs","FirstCategoryId":"1094","ListUrlMain":"https://doi.org/10.3390/designs7040093","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 1

摘要

本研究旨在评估在产品开发中使用人工智能、深度学习、数字化和数据挖掘的研究现状,主要是在机械和机电一体化领域。这些方法统称为“数字工程”,有可能颠覆产品开发的方式,提高产品开发过程的效率。然而,将它们集成到当前的产品开发过程中还不是很普遍。这项工作提出了一个新的统一的观点,在产品开发的数字工程研究的现状,通过文献综述。这包括讨论数字工程的方法,介绍产品开发过程,并根据各自的应用领域分类呈现结果。最后对文献分析结果进行了评价,并对未来的研究潜力进行了讨论。
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
Digital Engineering Methods in Practical Use during Mechatronic Design Processes
This work aims to evaluate the current state of research on the use of artificial intelligence, deep learning, digitalization, and Data Mining in product development, mainly in the mechanical and mechatronic domain. These methods, collectively referred to as “digital engineering”, have the potential to disrupt the way products are developed and improve the efficiency of the product development process. However, their integration into current product development processes is not yet widespread. This work presents a novel consolidated view of the current state of research on digital engineering in product development by a literature review. This includes discussing the methods of digital engineering, introducing a product development process, and presenting results classified by their individual area of application. The work concludes with an evaluation of the literature analysis results and a discussion of future research potentials.
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
Designs
Designs Engineering-Engineering (miscellaneous)
CiteScore
3.90
自引率
0.00%
发文量
0
审稿时长
11 weeks
期刊最新文献
Mechanical Transmissions with Convex–Concave Multipair Contact of Teeth in Precessional Gearing Design and Operational Assessment of a Railroad Track Robot for Railcar Undercarriage Condition Inspection Computational Investigation of the Fluidic Properties of Triply Periodic Minimal Surface (TPMS) Structures in Tissue Engineering Designs of Miniature Optomechanical Sensors for Measurements of Acceleration with Frequencies of Hundreds of Hertz Mapping the Potential of Zero-Energy Building in Greece Using Roof Photovoltaics
×
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