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dc.contributor.authorZhang, Lien_US
dc.contributor.authorChen, Xiaoqien_US
dc.contributor.authorZhou, Weien_US
dc.contributor.authorCheng, Taoboen_US
dc.contributor.authorChen, Lijiaen_US
dc.contributor.authorGuo, Zhenen_US
dc.contributor.authorHan, Bingen_US
dc.contributor.authorLu, Longxinen_US
dc.identifier.citationZhang, L., Chen, X., Zhou, W., Cheng, T., Chen, L., Guo, Z., . . . Lu, L. (2020). Digital Twins for Additive Manufacturing: A State-of-the-Art Review. Applied Sciences, 10(23), 8350-. doi:10.3390/app10238350en_US
dc.description.abstractWith the development of Industry 4.0, additive manufacturing will be widely used to produce customized components. However, it is rather time‐consuming and expensive to produce components with sound structure and good mechanical properties using additive manufacturing by a trial‐and‐error approach. To obtain optimal process conditions, numerous experiments are needed to optimize the process variables within given machines and processes. Digital twins (DT) are defined as a digital representation of a production system or service or just an active unique product characterized by certain properties or conditions. They are the potential solution to assist in overcoming many issues in additive manufacturing, in order to improve part quality and shorten the time to qualify products. The DT system could be very helpful to understand, analyze and improve the product, service system or production. However, the development of genuine DT is still impeded due to lots of factors, such as the lack of a thorough understanding of the DT concept, framework, and development methods. Moreover, the linkage between existing brownfield systems and their data are under development. This paper aims to summarize the current status and issues in DT for additive manufacturing, in order to provide more references for subsequent research on DT systems.en_US
dc.relation.ispartofApplied Sciencesen_US
dc.rights© 2020 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution(CC BY) license (
dc.subjectEngineering::Mechanical engineeringen_US
dc.titleDigital twins for additive manufacturing : a state‐of‐the‐art reviewen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.description.versionPublished versionen_US
dc.subject.keywordsAdditive Manufacturingen_US
dc.subject.keywordsDigital Twinsen_US
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