文献类型：期刊文献

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

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

机构：[1]Key Laboratory of Pressure Systems and Safety,Ministry of Education,School of Mechanical and Power Engineering,East China University of Science and Technology,Shanghai 200237,China

年份：2022

卷号：35

期号：4

起止页码：1

中文期刊名：Chinese Journal of Mechanical Engineering

外文期刊名：中国机械工程学报（英文版）

收录：CSTPCD;;Scopus;CSCD:【CSCD2021_2022】；

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

语种：英文

中文关键词：Digital twin;Design-manufacturing-maintenance integration;Artifcial 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 inefective manner.A unifed platform for efcient and intelligent designmanufacturing-maintenance of mechanical equipment and systems is highly needed in this rapidly digitized world.In this work,the defnition 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-manufacturingmaintenance 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.