Additive manufacturing (AM) as a highly digitalized manufacturing technology is capable of the implementation of the concept of the digital twin (DT), which promises highly automated and optimized part production. Since the DT is a quite novel concept requiring a wide framework of various technologies, it is not state of the art yet, though. Especially the combination with artificial intelligence (AI) methods is still challenging. Applying the methodology of the systematic review, the state of the art regarding the DT in AM with emphasis of required technologies and current challenges is assessed. Furthermore, the topic of AI is investigated focusing the main applications in AM as well as the possibility to integrate today’s approaches into a DT environment.

增材制造 (AM) 作为一种高度数字化的制造技术，能够实现数字孪生 (DT) 的概念，从而实现高度自动化和优化的零件生产。由于 DT 是一个非常新颖的概念，需要各种技术的广泛框架，但它还不是最先进的。尤其是与人工智能 (AI) 方法的结合仍然具有挑战性。应用系统评价的方法，评估有关增材制造中 DT 的最新技术，重点是所需技术和当前挑战。此外，还研究了 AI 的主题，重点关注 AM 中的主要应用以及将当今的方法集成到 DT 环境中的可能性。