A digital twin-driven part spatio-temporal quality prediction framework integrated with equipment degradation state analysis

IF 3.7 3区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Computer Integrated Manufacturing Pub Date : 2024-04-03 DOI:10.1080/0951192x.2024.2335972
Pei Wang, Jinhua Zhou, Pengde Huang, Sheng Yang
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Abstract

Key parts in high-value equipment have critical requirements of high precision and performance. The machining processes of such parts normally involve multiple stations. Therefore, the machining qu...
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数字孪生驱动的部件时空质量预测框架与设备退化状态分析相结合
高价值设备中的关键零件对精度和性能有着极高的要求。此类零件的加工过程通常涉及多个工位。因此,机械加工的质量和效率就显得尤为重要。
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来源期刊
CiteScore
9.00
自引率
9.80%
发文量
73
审稿时长
10 months
期刊介绍: International Journal of Computer Integrated Manufacturing (IJCIM) reports new research in theory and applications of computer integrated manufacturing. The scope spans mechanical and manufacturing engineering, software and computer engineering as well as automation and control engineering with a particular focus on today’s data driven manufacturing. Terms such as industry 4.0, intelligent manufacturing, digital manufacturing and cyber-physical manufacturing systems are now used to identify the area of knowledge that IJCIM has supported and shaped in its history of more than 30 years. IJCIM continues to grow and has become a key forum for academics and industrial researchers to exchange information and ideas. In response to this interest, IJCIM is now published monthly, enabling the editors to target topical special issues; topics as diverse as digital twins, transdisciplinary engineering, cloud manufacturing, deep learning for manufacturing, service-oriented architectures, dematerialized manufacturing systems, wireless manufacturing and digital enterprise technologies to name a few.
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