文献类型：期刊文献

英文题名：Digital Twin for Integration of Design-Manufacturing-Maintenance: An Overview

作者：Fu, Yang[1];Zhu, Gang[1];Zhu, Mingliang[1];Xuan, Fuzhen[1]

机构：[1]East China Univ Sci & Technol, Sch Mech & Power Engn, Minist Educ, Key Lab Pressure Syst & Safety, Shanghai 200237, Peoples R China

年份：2022

卷号：35

期号：1

外文期刊名：CHINESE JOURNAL OF MECHANICAL ENGINEERING

收录：;EI(收录号：20222612272817);WOS:【SCI-EXPANDED(收录号:WOS:000815069400003)】；

基金：Supported by National Natural Science Foundation of China (Grant Nos. 51922041, 51835003).

语种：英文

外文关键词：Digital twin; Design-manufacturing-maintenance integration; Artificial intelligence; Deep learning; Information fusion; Cyber-physical systems

摘要：Traditional design, manufacturing and maintenance are run and managed independently under their own rules and regulations in an increasingly time-and-cost ineffective manner. A unified platform for efficient and intelligent design-manufacturing-maintenance of mechanical equipment and systems is highly needed in this rapidly digitized world. In this work, the definition of digital twin and its research progress and associated challenges in the design, manufacturing and maintenance of engineering components and equipment were thoroughly reviewed. It is indicated that digital twin concept and associated technology provide a feasible solution for the integration of design-manufacturing-maintenance as it has behaved in the entire lifecycle of products. For this aim, a framework for information-physical combination, in which a more accurate design, a defect-free manufacturing, a more intelligent maintenance, and a more advanced sensing technology, is prospected.