@Article{icces.2023.09842,
AUTHOR = {Yabin Yang, Yanfei Wang, Quan Li},
TITLE = {Investigation for Fast Prediction of Residual Stresses and Deformations of  Metal Additive Manufacturing},
JOURNAL = {The International Conference on Computational \& Experimental Engineering and Sciences},
VOLUME = {25},
YEAR = {2023},
NUMBER = {1},
PAGES = {1--1},
URL = {http://www.techscience.com/icces/v25n1/53813},
ISSN = {1933-2815},
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.},
DOI = {10.32604/icces.2023.09842}
}