Revolutionizing sheet metal stamping through industry 5.0 digital twins: a comprehensive review

IF 5.9 2区 工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Intelligent Manufacturing Pub Date : 2024-07-11 DOI:10.1007/s10845-024-02453-9
Ossama Abou Ali Modad, Jason Ryska, Abdallah Chehade, Georges Ayoub
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Abstract

In this manuscript, we present a comprehensive overview of true digital twin applications within the manufacturing industry, specifically delving into advancements in sheet metal forming. A true digital twin is a virtual representation of a physical process or production system, enabling bidirectional data exchange between the physical and digital domains and facilitating real-time optimization of performance and decision-making through synchronized data from sensors. Hence, we will highlight the difference between Industry 4.0 and the digital twin concept, which is considered synonymous with Industry 5.0. Additionally, we will be outlining the relationship between the true digital twin and Zero Defect Manufacturing. In manufacturing processes, including sheet metal stamping, the advantages of high production speed, cost-effective tooling, and consistent component production are counterbalanced by the challenge of dimensional variability in finished parts, which is influenced by process parameters. Data collection, storage, and analysis are essential for understanding manufactured parts variability, and leveraging true digital twins ensures high-quality parts production and processes optimization.

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通过工业 5.0 数字孪生革新钣金冲压:全面回顾
在本手稿中,我们全面概述了真正的数字孪生在制造业中的应用,特别是在金属板材成型方面的进展。真正的数字孪生是物理过程或生产系统的虚拟呈现,可实现物理域和数字域之间的双向数据交换,并通过来自传感器的同步数据促进性能和决策的实时优化。因此,我们将强调工业 4.0 与数字孪生概念之间的区别,后者被视为工业 5.0 的同义词。此外,我们还将概述真正的数字孪生与零缺陷制造之间的关系。在包括钣金冲压在内的制造过程中,高速生产、高性价比的工具和稳定的部件生产等优势与成品部件的尺寸变化(受工艺参数的影响)所带来的挑战相抵消。数据收集、存储和分析对于了解制造零件的可变性至关重要,利用真正的数字双胞胎可确保高质量的零件生产和流程优化。
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来源期刊
Journal of Intelligent Manufacturing
Journal of Intelligent Manufacturing 工程技术-工程:制造
CiteScore
19.30
自引率
9.60%
发文量
171
审稿时长
5.2 months
期刊介绍: The Journal of Nonlinear Engineering aims to be a platform for sharing original research results in theoretical, experimental, practical, and applied nonlinear phenomena within engineering. It serves as a forum to exchange ideas and applications of nonlinear problems across various engineering disciplines. Articles are considered for publication if they explore nonlinearities in engineering systems, offering realistic mathematical modeling, utilizing nonlinearity for new designs, stabilizing systems, understanding system behavior through nonlinearity, optimizing systems based on nonlinear interactions, and developing algorithms to harness and leverage nonlinear elements.
期刊最新文献
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