文献类型：期刊文献

中文题名：数字孪生驱动增材制造的研究进展

英文题名：Research Progress of Additive Manufacturing Driven by Digital Twins

作者：丁东红[1,2];纪江[1];张子轩[3];丁小飞[4]

机构：[1]佛山科学技术学院机电工程与自动化学院,广东佛山528225;[2]南京工业大学机械与动力工程学院,江苏南京211816;[3]华东理工大学机械与动力工程学院,上海200237;[4]中国航空发动机集团沈阳发动机研究所,辽宁沈阳110015

年份：2023

卷号：53

期号：2

起止页码：24

中文期刊名：电焊机

外文期刊名：Electric Welding Machine

收录：CSTPCD

基金：国家自然科学基金(E180508085);广东省自然科学基金(2022A1515011164)。

语种：中文

中文关键词：增材制造;数字孪生;智能制造;数字模型;实时传感;数据分析;预测与控制

外文关键词：additive manufacturing;digital twins;intelligent manufacturing;digital model;real-time sensing;data analysis;forecast and control

摘要：数字孪生技术是充分利用物理模型、传感器信息、运行历史等数据,集成多学科、多物理量、多尺度、多概率的仿真过程。该技术与增材制造相结合,是实现制造物理世界和信息世界智能互联与交互融合、减少工艺参数试错实验、控制增材制造打印件组织性能和节省打印成本的潜在手段。因此讨论了数字孪生驱动增材制造的背景与意义;介绍了建立增材制造数字孪生系统的关键要素;阐述了增材制造的模型优化设计、分层切片、路径规划、机理模型、传感与控制、统计模型、大数据和机器学习等方面的发展现状以及目前存在的一些挑战;提出了数字孪生驱动增材制造的未来发展方向和研究重点。
Digital twin technology is a simulation process integrated by multi-discipline,multi-physical quantity,multi-scale and multi-probability through comprehensively using of physical model,sensor information and operation history data.Combined with additive manufacturing to realize the intelligent interconnection of the physical world and the information world,it becomes a potential approach to reduce trial-and-error experiments of process parameters,control the mechanical performance of additively manufactured components,and save the costs of the process.The background and significance of digital twin driving additive manufacturing is discussed,the key elements of building a digital twin system for additive manufacturing is introduced,and the developments and challenges of 3D model design,slicing and path planning,mechanism model,sensing and control,statistical model,big data and machine learning of additive manufacturing are clarified.Finally,the future research trends and focus of digital twin driven additive manufacturing is revealed.