Computational AI models in VAT photopolymerization: a review, current trends, open issues, and future opportunities
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07694-4.pdf
Reference115 articles.
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3. Dharnidharka M, Chadha U, Dasari LM et al (2021) Optical tomography in additive manufacturing: a review, processes, open problems, and new opportunities. Eur Phys J Plus 136:1133. https://doi.org/10.1140/epjp/s13360-021-02108-1
4. Yang J, Chen Y, Huang W, & Li Y (2017). Survey on artificial intelligence for additive manufacturing. In 2017 23rd International Conference on Automation and Computing (ICAC) (pp. 1–6). IEEE.
5. Shen Z, Shang X, Zhao M, Dong X, Xiong G, Wang FY (2019) A learning-based framework for error compensation in 3D printing. IEEE trans cybern 49(11):4042–4050
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