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Digital twin-driven product design framework

delete2018-02-25
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PRE
AI
陶飞 (Fei Tao) *
F
Fangyuan Sui
刘昂 cover
刘昂 (Ang Liu)
Q
Qinglin Qi
张梦 (Meng Zhang)
B
Boyang Song
Z
Zirong Guo
S
Stephen C.-Y. Lu
A
A.Y.C. Nee
DOI:10.1080/00207543.2018.1443229delete
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Abstract

Abstract

En 中文
With the advent of new generation information technologies in industry and product design, the big data-driven product design era has arrived. However, the big data-driven product design mainly places emphasis on the analysis of physical data rather than the virtual models, in other words, the convergence between product physical and virtual space is usually absent. Digital twin, a new emerging and fast growing technology which connects the physical and virtual world, has attracted much attention worldwide recently. This paper presents a new method for product design based on the digital twin approach. The development of product design is briefly introduced first. The framework of digital twin-driven product design (DTPD) is then proposed and analysed. A case is presented to illustrate the application of the proposed DTPD method.
Keywords:
digital twin
product design
framework
design theory
data lifecycle
big data
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Journal

International Journal of Production Research cover
International Journal of Production Research
IF:
7.3
Papers:
1.1W
Citations:
3.7W

Organization

U
university of southern california
Scholars:
4.6W
Papers: 3.8W
Citations: 51
B
Beihang University
Scholars:
5.1W
Papers: 4.1W
Citations: 37
N
National University of Singapore
Scholars:
7.5W
Papers: 6.5W
Citations: 11.4W
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