International Journal of Production Research· 2018Q1
Digital twin-driven product design framework
- 1,164citations
- Q1SCImago
- 2018year
Short summary
A new framework for product design leverages digital twins to bridge the gap between physical product data and virtual models, addressing a key limitation in current big data-driven approaches.
AI-generated from the title and abstract; the full text is not read.
Key points
- Proposes a Digital Twin-Driven Product Design (DTPD) framework.
- Addresses the absence of convergence between physical and virtual product spaces in current big data-driven design.
- Digital twins connect physical and virtual worlds for product design.
- A case study illustrates the application of the DTPD method.
AI-generated from the title and abstract; the full text is not read.
Abstract
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.
The authors' abstract, as published at the source. International Journal of Production Research, 2018 · DOI ↗
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Field: Industrial and Manufacturing Engineering
Industrial and Manufacturing EngineeringEngineering