Bartsch, KatharinaKatharinaBartschPettke, AlexanderAlexanderPettkeHübert, ArturArturHübertLakämper, JuliaJuliaLakämperLange, FritzFritzLange2021-05-202021-05-202021-04-21JPhys Materials 4 (3): 032005 (2021-07-01)http://hdl.handle.net/11420/9573Additive 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.en2515-763920213IOP Publishinghttps://creativecommons.org/licenses/by/4.0/additive manufacturingartificial intelligencedigital twinquality assuranceTechnikJournal Article10.15480/882.354810.1088/2515-7639/abf3cf10.15480/882.3548Other