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工具機的數位雙生自主化及其應用

Self-Organizing Digital Twin and Its Applications for Machine Tools

摘要


近年來受到美中貿易戰、新冠肺炎疫情等因素影響,人力資源與成本提高了產線上的不確定性因子,而金屬製造產業為了降低生產風險,許多製造廠(如:波音、普惠)逐步加快產線數位化與智慧化升級。其中,工具機是生產金屬零組件的主要設備之一,工具機的數位化為開啟智慧化升級的關鍵鑰匙,因此,工具機數位雙生的運作模式成為許多研究單位的開發重點。本文將探討工具機數位雙生自主化功能的現況,包含關鍵組件(如:主軸)的數位模型、線上監測以及應用人工智慧作整合,並討論其應用模式。

關鍵字

數位雙生 工具機 主軸

並列摘要


In recent years, affected by the factors, such as the U.S.-China trade war, COVID-19, etc., the human resources and costs have increased the uncertainties of the production line. To reduce the production risks in metal manufacturing industry, some companies, such as Boeing, Pratt & Whitney, are gradually upgrading their production lines through the technologies of digitization and intelligence. Machine tool is important for the production of metal components, and its digitalization is a critical factor for intelligence upgrading. Therefore, the developments of machine tool digital twins have become the focus in several research groups all over the world. In this article, the current research status of self-organizing digital twins for machine tools will be focused. The digital models of key components (such as spindles), online monitoring, and the artificial intelligence-based system integration will be introduced. Finally, its applications will also be discussed.

並列關鍵字

Digital twin Machine tool Spindle

參考文獻


Huynh, H. N.,Altintas, Y.(2021).Modeling the dynamics of five-axis machine tool using the multibody approach.J. Manuf. Sci. Eng. ASME.143(2),021012–1-021012–14.
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Cao, Y.,Altintas, Y.(2004).A general method for the modeling of spindle-bearing systems.J. Mech. Des. Trans. ASME.126(6),1089-1104.
Immovilli, F.,Cocconcelli, M.(2017).Experimental investigation of shaft radial load effect on bearing fault signatures detection.IEEE Transactions on Industry Applications.53(3),2721-2729.
Liu, Y.-P.,Altintas, Y.(2021).In-process identification of machine tool dynamics.CIRP Journal of Manufacturing Science and Technology.32,322-337.

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