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Digital twin driven smart product design framework

  • Meng Zhang
  • , Fangyuan Sui
  • , Ang Liu
  • , Fei Tao
  • , A. Y.C. Nee
  • Beihang University
  • University of New South Wales
  • National University of Singapore

科研成果: 书/报告/会议事项章节章节同行评审

摘要

With the advent of new generation information technologies (new IT) in industry and product design, the big data–driven product design era has arrived. However, current research mainly places emphasis on the analysis of physical data rather than the virtual models. In other words, the convergence between product’s physical and virtual spaces is usually absent. Fortunately, digital twin (DT), an emerging and fast-growing technology, provides a promising way to connect and integrate the physical and virtual spaces seamlessly, thus to solve the previous problem efficiently. Therefore this chapter introduces DT into product design and presents a new design method based on the DT approach. First, related theories and technologies of product design are reviewed and the concept of DT is explored. Then a five-dimension DT and its abilities enabled by new IT are proposed. Based on this, a DT-driven smart product design (DTPD) framework is discussed, in terms of key processes and related technologies. Finally, DTPD applications in bicycle and landing gear are presented as two case studies to illustrate the proposed method.

源语言英语
主期刊名Digital Twin Driven Smart Design
出版商Elsevier
3-32
页数30
ISBN(电子版)9780128189184
ISBN(印刷版)9780128189191
DOI
出版状态已出版 - 1 1月 2020

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