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....
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: | Journal Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/146262 |
Similar Items
-
Digital Twins
by: Datta, Shoumen
Published: (2017) -
A digital twin-based decision support approach for AGV scheduling
by: Gao, Yinping, et al.
Published: (2024) -
Transfer-AE: a novel autoencoder-based impact detection model for structural digital twin
by: Han, Chengjia, et al.
Published: (2024) -
Digital twins for electro-physical, chemical, and photonic processes
by: Guo, Yuebin, et al.
Published: (2023) -
A surrogate model to predict production performance in digital twin-based smart manufacturing
by: Chua, Ping Chong, et al.
Published: (2022)