| Affiliation: | 1. Department of Mechanical Engineering, The University of Auckland, New Zealand;2. School of Engineering, Cardiff University, United Kingdom;3. Department of Electrical, Computer and Software Engineering, The University of Auckland, New Zealand;1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China;2. Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI 48128, USA |
| Abstract: | In the era of digitalization, there are many emerging technologies, such as the Internet of Things (IoT), Digital Twin (DT), Cloud Computing and Artificial Intelligence (AI), which are quickly developped and used in product design and development. Among those technologies, DT is one promising technology which has been widely used in different industries, especially manufacturing, to monitor the performance, optimize the progresses, simulate the results and predict the potential errors. DT also plays various roles within the whole product lifecycle from design, manufacturing, delivery, use and end-of-life. With the growing demands of individualized products and implementation of Industry 4.0, DT can provide an effective solution for future product design, development and innovation. This paper aims to figure out the current states of DT research focusing on product design and development through summarizing typical industrial cases. Challenges and potential applications of DT in product design and development are also discussed to inspire future studies. |
