Digital Twin Modeling Enabled Machine Tool Intelligence:A Review

作     者：Lei Zhang Jianhua Liu Cunbo Zhuang Lei Zhang;Jianhua Liu;Cunbo Zhuang

作者机构：School of Mechanical EngineeringTianjin University of CommerceTianjin 300134China Laboratory of Digital ManufacturingSchool of Mechanical EngineeringBeijing Institute of TechnologyBeijing 10081China 

出 版 物：《Chinese Journal of Mechanical Engineering》 (中国机械工程学报（英文版）)

年 卷 期：2024年第37卷第2期

页      面：29-54页

核心收录：

学科分类：082304[工学-载运工具运用工程] 08[工学] 080204[工学-车辆工程] 0802[工学-机械工程] 0823[工学-交通运输工程] 

基　　金：Supported by Tianjin Municipal University Science and Technology Development Foundation of China(Grant No.2021KJ176) 

主　　题：Machine tool Digital twin Smart manufacturing Synchronization 

摘      要：Machine tools,often referred to as the“mother machinesof the manufacturing industry,are crucial in developing smart manufacturing and are increasingly becoming more *** twin technology can promote machine tool intelligence and has attracted considerable research ***,there is a lack of clear and systematic analyses on how the digital twin technology enables machine tool ***,digital twin modeling was identified as an enabling technology for machine tool intelligence based on a comparative study of the characteristics of machine tool intelligence and digital *** review then delves into state-of-the-art digital twin modelingenabled machine tool intelligence,examining it from the aspects of data-based modeling and mechanism-data dual-driven ***,it highlights three bottleneck issues facing the *** these problems,the architecture of a digital twin machine tool(DTMT)is proposed,and three key technologies are expounded in detail:Data perception and fusion technology,mechanism-data-knowledge hybrid-driven digital twin modeling and virtual-real synchronization technology,and dynamic optimization and collaborative control technology for multilevel ***,future research directions for the DTMT are *** work can provide a foundation basis for the research and implementation of digital-twin modeling-enabled machine tool intelligence,making it significant for developing intelligent machine tools.