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Digital twin driven lean design for computerized numerical control machine tools

  • Yongli Wei
  • , Tianliang Hu
  • , Wenlong Zhang
  • , Fei Tao
  • , A. Y.C. Nee
  • Shandong University
  • Beihang University
  • National University of Singapore

科研成果: 书/报告/会议事项章节章节同行评审

3 引用 (Scopus)

摘要

Computerized numerical control machine tools (CNCMTs) play an important role in smart manufacturing. In the current complex and changeable market environment, improving the performance of CNCMTs at the design stage becomes an urgent task for equipment manufacturers. Lean design (LD) has its overwhelming advantages in many aspects (e.g., high efficiency of realization mode, greater flexibility in the changing market, and full involvement of stakeholders) compared to traditional design methods. But in the LD process of CNCMTs, inaccurate CNCMT models and manual-setting workload data (e.g., spindle speed, spindle temperature, and feed speed) will lead to inaccurate design analysis results and thereupon increase design time. To solve these problems, digital twin (DT) is introduced into LD, which provides high-fidelity models and real-time mapping of accurate workload data. Based on the DT prototype of CNCMTs, as established in Chapter 9, Digital twin based Computerized numerical control machine tool virtual prototype design, a DT-driven LD method for CNCMTs is presented in this chapter, which combines the advantages of both LD and DT. The method consists of design of the workload-DT model, generation of workload data, and optimization and evaluation methods for CNCMTs. In addition, a case study focusing on the design of CNCMT feed system is carried out to verify the feasibility and effectiveness of the proposed method.

源语言英语
主期刊名Digital Twin Driven Smart Design
出版商Elsevier
265-287
页数23
ISBN(电子版)9780128189184
ISBN(印刷版)9780128189191
DOI
出版状态已出版 - 1 1月 2020
已对外发布

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