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Investigation for Fast Prediction of Residual Stresses and Deformations of Metal Additive Manufacturing
Yabin Yang1,*, Yanfei Wang1, Quan Li2
1 School of materials science and engineering in Sun Yat-sen University, Guangzhou, 510275, China
2 Capital Aerospace Machinery Corporation Limited, Beijing, 100076, China
* Corresponding Author: Yabin Yang. Email:
The International Conference on Computational & Experimental Engineering and Sciences 2023, 25(1), 1-1. https://doi.org/10.32604/icces.2023.09842
Abstract
Residual stresses and deformations are one of the challenges needs to solve for metal additive
manufacturing part. Finite element method plays an important role in predicting the residual stresses and
deformations to reduce the experimental costs, and provides a powerful tool for the optimization of process
parameters and scanning strategies of heat source. However, the key problem in simulation is the mismatch
between the melt pool and the built part in both spatial and temporal scale. This would result in large
discretization in both spatial and temporal domains in the simulation, which gives rise to huge
computational cost. Therefore, it is necessary to develop a computationally efficient and accurate model in
predicting the residual stresses and deformations of the metal additive manufacturing part. A thermosmechanical model based on a superposition law in the thermal calculation is proposed in the present study.
The proposed model enables to solve the mismatch of spatial scale in metal additive manufacturing. The
proposed model is employed to predict the residual stresses and deformations in many metal additive
manufacturing process, such as the selective laser melting and wire and arc additive manufacturing. The
proposed model shows attractively high computational efficiency, and the accuracy of the proposed model
is also validated by the experiment.
Keywords
Cite This Article
APA Style
Yang, Y., Wang, Y., Li, Q. (2023). Investigation for fast prediction of residual stresses and deformations of metal additive manufacturing. The International Conference on Computational & Experimental Engineering and Sciences, 25(1), 1-1. https://doi.org/10.32604/icces.2023.09842
Vancouver Style
Yang Y, Wang Y, Li Q. Investigation for fast prediction of residual stresses and deformations of metal additive manufacturing. Int Conf Comput Exp Eng Sciences . 2023;25(1):1-1 https://doi.org/10.32604/icces.2023.09842
IEEE Style
Y. Yang, Y. Wang, and Q. Li "Investigation for Fast Prediction of Residual Stresses and Deformations of Metal Additive Manufacturing," Int. Conf. Comput. Exp. Eng. Sciences , vol. 25, no. 1, pp. 1-1. 2023. https://doi.org/10.32604/icces.2023.09842