A bibliometric review on application of machine learning in additive manufacturing and practical justification
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Published:2024-10
Issue:
Volume:40
Page:102371
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ISSN:2352-9407
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Container-title:Applied Materials Today
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language:en
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Short-container-title:Applied Materials Today
Author:
Ma Quoc-PhuORCID, Nguyen Hoang-SyORCID, Hajnys JiriORCID, Mesicek JakubORCID, Pagac MarekORCID, Petru Jana
Reference143 articles.
1. Pagac, M., Hajnys, J., Ma, Q.-P., Jancar, L., Jansa, J., Stefek, P., Mesicek, J.: A review of vat photopolymerization technology: Materials, applications, challenges, and future trends of 3d printing 13(4), 598 (2021) https://doi.org/10.3390/polym13040598. 2. Gardner, L.: Metal additive manufacturing in structural engineering – review, advances, opportunities and outlook 47, 2178–2193 (2023) https://doi.org/10.1016/j.istruc.2022.12.039. 3. Sun, J., Ye, D., Zou, J., Chen, X., Wang, Y., Yuan, J., Liang, H., Qu, H., Binner, J., Bai, J.: A review on additive manufacturing of ceramic matrix composites 138, 1–16 (2023) https://doi.org/10.1016/j.jmst.2022.06.039. 4. Wong, J., Altassan, A., Rosen, D.W.: Additive manufacturing of fiber-reinforced polymer composites: A technical review and status of design methodologies 255, 110603 (2023) https://doi.org/10.1016/j.compositesb.2023.110603. 5. DeBoer, B., Nguyen, N., Diba, F., Hosseini, A.: Additive, subtractive, and formative manufacturing of metal components: a life cycle assessment comparison 115(1), 413–432 (2021) https://doi.org/10.1007/s00170-021-07173-5.
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