1. Distortion prediction method for large-scale additive metal components based on feature partitioning and temperature function method.
- Author
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Li, Bobo, Zhang, Jiong, Yin, Jun, Gao, Enze, and Yang, Guang
- Abstract
Laser deposition manufacturing (LDM) technology provides the potential to manufacture large, difficult-to-process metal components for aerospace and other applications. However, the residual stresses resulting from the considerable temperature gradients in the LDM process can lead to distortion and even cracking of the fabricated components. Rapidly predicting the distortion for large additive metal components is critical to controlling the distortion and achieving high-quality forming of large components. Considering the principle of LDM technology, the partitioning method based on typical geometric features for aerospace titanium alloy frames, beams, and wall plates is proposed in this paper. It establishes a rapid prediction method for distortion of large additive metal components based on feature partitioning and temperature function method (TFM) by considering the effect of critical parameters of temperature function on distortion prediction. The results show that the prediction of additive component distortion through this method agrees with the results predicted by the traditional method and experimental results. Furthermore, the computational efficiency of the method has improved by 96% compared to the traditional approach, meeting the need for rapid distortion prediction in large metal additive components. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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