A review of digital twin in product design and development. (April 2021)

• Record Type: Journal Article
• Authors: Lo, C.K.; Chen, C.H.; Zhong, Ray Y.
• Is Part Of: Advanced engineering informatics. Volume 48(2021)
• Publication Date: 2021-04
• Subjects: Digital twin -- Product design -- New product development -- Product lifecycle -- Review; AI Artificial Intelligence -- AR Augmented Reality -- BDA Big Data Analytics -- CAD Computer-aided Design -- CAE Computer-aided Engineering -- CAM Computer-aided Manufacturing -- DDS Data Distribution Service -- DT Digital Twin -- EEE Electrical and Electronic Engineering -- FlexMM Flexible Material Model -- HLA High Level Architecture -- GE General Electric -- GMOS Green Material Optimal-Selection -- ICT Information and Communications Technology -- IoT Internet of Things -- LED Light-emitting Diode -- MQTT Message Queuing Telemetry Transport -- MOL Middle of Life -- NASA The National Aeronautics and Space Administration -- NPD New Product Development -- PLM Product Lifecycle Management -- PTC PTC Inc. - computer software company -- PV system Photovoltaic system -- RTI Run-Time Infrastructure -- SUV Sport Utility Vehicle -- UAV Unmanned Aerial Vehicle -- VR Virtual Reality -- WEEE Waste Electrical and Electronic Equipment; Computer-aided engineering -- Periodicals; Engineering -- Data processing -- Periodicals; 620.00285
• DOI: 10.1016/j.aei.2021.101297
• Languages: English
• ISSNs: 1474-0346

Abstract

Highlights: Current states of DT research focusing on product design are presented. The challenge and potential application of DT in product design are discussed. The directions of the potential DT studies in product design are discussed. 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.