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Hardness Prediction and Verification Based on Key Temperature Features During the Directed Energy Deposition Process

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Abstract

During the process of metal directed energy deposition (DED), changes in temperature directly influence the melting and cooling processes, which determine the microstructure and thus hardness of the final part. Therefore, there is a certain correlation between the temperature field during the DED process and the material hardness, making it possible to predict the hardness distribution of a part by monitoring the changes in the temperature field. In this paper, some key temperature features (KTFs) are defined in accordance with the characteristics of the DED process, to present the characteristics of the temperature field. The temporal and spatial trends of the KTF values are considered, and predictions of the hardness distributions are given. The results of the microhardness testing confirm that the trends of predictions are consistent with the actual hardness trends based on measured data. The developed KTFs make the online real-time and non-destructive evaluation of the hardness of DED parts possible.

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Acknowledgements

This work is carried out under the support of National Natural Science Foundation of China (Grant number 61803023) and the Fundamental Research Funds for the Central Universities (Grant number FRF-DF-18-001). The first two authors are supported by the above two grants.

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Correspondence to Xinxin Guo or Jing Shi.

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Chen, Z., Guo, X. & Shi, J. Hardness Prediction and Verification Based on Key Temperature Features During the Directed Energy Deposition Process. Int. J. of Precis. Eng. and Manuf.-Green Tech. 8, 453–469 (2021). https://doi.org/10.1007/s40684-020-00208-4

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