Toward a smart wire arc additive manufacturing system: A review on current developments and a framework of digital twin
参考中译:迈向智能焊丝添加剂制造系统：现状回顾和数字孪生系统框架


          

刊名：Journal of Manufacturing Systems
作者：Haochen Mu（School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong）
Fengyang He（School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong）
Lei Yuan（School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong）
Philip Commins（School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong）
Hongmin Wang（Faculty of Intelligent Manufacture, Wuyi University）
Zengxi Pan（School of Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong）
刊号：737C0076
ISSN：0278-6125
出版年：2023
年卷期：2023, vol.67
页码：174-189
总页数：16
分类号：TH165; TP2
关键词：WAAM；Additive manufacturing；Digital twin；Process planning；Monitoring；Control；Simulation
参考中译：WAAM；添加制造；数字孪生；工艺规划；监测；控制；仿真
语种：eng
文摘：In recent years, Wire Arc Additive Manufacturing (WAAM) has attracted increasing scientific attention. With the rise of Industry 4.0 and smart manufacturing, Digital Twin (DT) has become an emerging technology that is finding increased acceptance in Additive Manufacturing (AM) processes. This paper aims to provide a systematic review of current developments of DT in AM processes and then derive a suitable DT for the WAAM system. Firstly, DT developments in AM processes are introduced from supervisory, control, and predictive aspects. This provides a reference and inspiration for designing process DTs by reviewing their structures, algorithms, and methodologies. Secondly, the current research on process planning, monitoring, modeling, online control, and simulation in WAAM is reviewed. Particular attention is given to intelligent algorithms, such as machine learning. Thirdly, the challenges to building a WAAM-DT are introduced step-by-step. Finally, the paper concludes by proposing a framework of WAAM-DT as a hybrid and intelligent solution for monitoring, modeling, control, and simulation.
参考中译：近年来，电弧添加剂制造(WAAM)引起了越来越多的科学关注。随着工业4.0和智能制造的兴起，数字孪生(DT)已成为一项新兴技术，正在被越来越多的加法制造(AM)工艺所接受。本文的目的是系统地回顾AM过程中DT的发展现状，从而得出一种适合于WAAM系统的DT。首先，从监督、控制和预测三个方面介绍了动态链接法在AM过程中的发展。这为通过回顾过程DTD的结构、算法和方法来设计过程DT提供了参考和启发。其次，对广域空管中工艺规划、监控、建模、在线控制和仿真等方面的研究现状进行了综述。特别关注智能算法，如机器学习。第三，逐步介绍了建设WAAM-DT所面临的挑战。最后，本文提出了WAAM-DT的框架，作为一种用于监测、建模、控制和仿真的混合智能解决方案。



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