Contrastive learning based on hierarchical graph of microstructures through directed energy deposition process to establish process-structure–property relationship via autoencoder

Author:

Chen Chengxi,Wong Stanley Jian Liang,Tan Eddie Zhi’En,Li Hua

Publisher

Elsevier BV

Reference64 articles.

1. An overview of Direct Laser Deposition for additive manufacturing; Part I: Transport phenomena, modeling and diagnostics;Thompson;Addit. Manuf.,2015

2. B. Chen et al., “Effect of Laser Beam Profile on Thermal Transfer, Fluid Flow and Solidification Parameters during Laser-Based Directed Energy Deposition of Inconel 718,” Materials (Basel)., vol. 16, no. 12, 2023, doi: 10.3390/ma16124221.

3. Directed Energy Deposition (DED) Process: State of the Art;Ahn;Int. J. Precis. Eng. Manuf. Technol.,2021

4. An overview of Direct Laser Deposition for additive manufacturing; Part II: Mechanical behavior, process parameter optimization and control;Shamsaei;Addit. Manuf.,2015

5. A. Dass and A. Moridi, “State of the art in directed energy deposition: From additive manufacturing to materials design,” Coatings, vol. 9, no. 7, 2019, doi: 10.3390/COATINGS9070418.

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