Статья

Digital twin-driven product design framework

Fei TaoSchool of Automation Science and Electrical Engineerig, Beihang University, Beijing, ChinaFangyuan SuiSchool of Automation Science and Electrical Engineerig, Beihang University, Beijing, ChinaAng LiuSchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, AustraliaQinglin QiSchool of Automation Science and Electrical Engineerig, Beihang University, Beijing, ChinaMeng ZhangSchool of Automation Science and Electrical Engineerig, Beihang University, Beijing, ChinaBoyang SongSchool of Automation Science and Electrical Engineerig, Beihang University, Beijing, ChinaZirong GuoSchool of Automation Science and Electrical Engineerig, Beihang University, Beijing, ChinaStephen C.-Y. LuDepartment of Industrial and Systems Engineering, University of Southern California, Los Angeles, CA, USAA.Y.C. NeeDepartment of Mechanical Engineering, National University of Singapore, Singapore, Singapore

2018en

ABI

Аннотация

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.

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Идентификаторы

DOI: 10.1080/00207543.2018.1443229

Цитирования и источники

Цитирований: 2Использованных источников: 0

Показатели — AkademScholar