Prediction of Equivalent Elastic Modulus for Metal-Coated Lattice Based on Machine Learning
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Ceramics and Composites
Link
https://link.springer.com/content/pdf/10.1007/s10443-022-10061-0.pdf
Reference41 articles.
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2. Xiao, R., Feng, X., Fan, R., Chen, S., Song, J., Gao, L.: 3d printing of titanium-coated gradient composite lattices for lightweight mandibular prosthesis. Compos. Part B Eng. 193, 108057 (2020). https://doi.org/10.1016/j.compositesb.2020.108057
3. Abueidda, D., Elhebeary, M., Shiang, A., Jasiuk, I.: Compression and buckling of microarchitectured neovius-lattice. Extreme Mech. Lett. 37, 100688 (2020). https://doi.org/10.1016/j.eml.2020.100688
4. Moongkhamklang, P., Wadley, H.N.G.: Titanium matrix composite lattice structures. Compos. A Appl. Sci. Manuf. 39, 176–187 (2008). https://doi.org/10.1016/j.compositesa.2007.11.007
5. Nasiri, S., Khosravani, M.R.: Machine learning in predicting mechanical behavior of additively manufactured parts. J. Mater. Res. Technol. 14, 1137–1153 (2021). https://doi.org/10.1016/j.jmrt.2021.07.004
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