智能制造的数字孪生,综述

Mohsen Soori , Behrooz Arezoo , Roza Dastres
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引用次数: 4

摘要

物理过程或产品的虚拟表示被称为数字孪生,它可以提高制造过程的效率并降低成本。利用数字孪生,生产团队可以检查各种数据源,减少缺陷项目的数量,以提高生产效率,减少工业停工时间。Digital Twin可用于在产品生命周期的整个分析过程中可视化资产、跟踪变化、了解和优化资产性能。此外,从数字孪生中收集的数据可以提供产品和流程的完整生命周期,以优化零件生产的工作流程、管理供应链和管理产品质量。数字孪生在智能制造中的应用可以通过在制造前在虚拟环境中设计和评估制造过程来缩短上市时间。使用数字孪生可以提供综合仿真平台,从分析和修改生产零件的角度模拟和评估产品性能。通过使用数字孪生开发和优化工厂布局,也可以显著缩短工厂的调试时间。此外,通过在零件生产过程中提供预测性维护和数据驱动的根本原因分析,可以提高零件制造的生产率。本文综述了数字孪生在智能制造系统中的应用,分析和讨论了利用数字孪生进行零件生产改造的优势和挑战。因此,该研究领域可以通过阅读和评估以前的论文来推进,以便通过在智能制造系统中使用数字孪生来提出新的概念和方法。
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Digital twin for smart manufacturing, A review

A virtual representation of a physical procedure or product is called digital twin which can enhance efficiency and reduce costs in manufacturing process. Utilizing the digital twin, production teams can examine various data sources and reduce the number of defective items to enhance production efficiency and decrease industrial downtime. Digital Twin can be utilized to visualize the asset, track changes, understand and optimize asset performance throughout the analysis of the product lifecycle. Also, the collected data from digital twin can provide the complete lifecycle of products and processes to optimize workflows of part production, manage supply chain, and manage product quality. The application of digital twin in smart manufacturing can reduce time to market by designing and evaluating the manufacturing processes in virtual environments before manufacture. Comprehensive simulation platforms can be presented using digital twins to simulate and evaluate product performances in terms of analysis and modification of produced parts. Commissioning time of a factory can also be significantly reduced by developing and optimizing the factory layout using the digital twin. Also, the productivity of part manufacturing can be enhanced by providing the predictive maintenance and data-driven root-cause analysis during part production process. In this paper, application of digital twin in smart manufacturing systems is reviewed to analyze and discuss the advantages and challenges of part production modification using the digital twin. So, the research field can advance by reading and evaluating previous papers in order to propose fresh concepts and approaches by using digital twins in smart manufacturing systems.

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