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丁东红，纪江，张子轩，等.数字孪生驱动增材制造的研究进展［J］.电焊机，2023，53（2）：24-40.
DING Donghong, JI Jiang, ZHANG Zixuan, et al.Research Progress of Additive Manufacturing Driven by Digital Twins[J].Electric Welding Machine, 2023, 53(2): 24-40.
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.
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
additive manufacturingdigital twinsintelligent manufacturingdigital modelreal-time sensingdata analysisforecast and control
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