Digital twins for additive manufacturing : a state‐of‐the‐art review

With 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....

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Main Authors: Zhang, Li, Chen, Xiaoqi, Zhou, Wei, Cheng, Taobo, Chen, Lijia, Guo, Zhen, Han, Bing, Lu, Longxin
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/146262
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1462622021-02-04T07:06:33Z Digital twins for additive manufacturing : a state‐of‐the‐art review Zhang, Li Chen, Xiaoqi Zhou, Wei Cheng, Taobo Chen, Lijia Guo, Zhen Han, Bing Lu, Longxin School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Additive Manufacturing Digital Twins With 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. Published version 2021-02-04T07:06:33Z 2021-02-04T07:06:33Z 2020 Journal Article Zhang, 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/app10238350 2076-3417 https://hdl.handle.net/10356/146262 10.3390/app10238350 2-s2.0-85096541207 23 10 en Applied Sciences © 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 (http://creativecommons.org/licenses/by/4.0/) application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Additive Manufacturing
Digital Twins
spellingShingle Engineering::Mechanical engineering
Additive Manufacturing
Digital Twins
Zhang, Li
Chen, Xiaoqi
Zhou, Wei
Cheng, Taobo
Chen, Lijia
Guo, Zhen
Han, Bing
Lu, Longxin
Digital twins for additive manufacturing : a state‐of‐the‐art review
description With 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.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Zhang, Li
Chen, Xiaoqi
Zhou, Wei
Cheng, Taobo
Chen, Lijia
Guo, Zhen
Han, Bing
Lu, Longxin
format Article
author Zhang, Li
Chen, Xiaoqi
Zhou, Wei
Cheng, Taobo
Chen, Lijia
Guo, Zhen
Han, Bing
Lu, Longxin
author_sort Zhang, Li
title Digital twins for additive manufacturing : a state‐of‐the‐art review
title_short Digital twins for additive manufacturing : a state‐of‐the‐art review
title_full Digital twins for additive manufacturing : a state‐of‐the‐art review
title_fullStr Digital twins for additive manufacturing : a state‐of‐the‐art review
title_full_unstemmed Digital twins for additive manufacturing : a state‐of‐the‐art review
title_sort digital twins for additive manufacturing : a state‐of‐the‐art review
publishDate 2021
url https://hdl.handle.net/10356/146262
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