Convolutional Neural Networks for Part Orientation in Additive Manufacturing

Author:

Furlan Valentina,Castelli Kevin,Scaburri Luca,Giberti Hermes

Publisher

Springer Nature Switzerland

Reference37 articles.

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2. Wei Gao, Yunbo Zhang, Devarajan Ramanujan, Karthik Ramani, Yong Chen, Christopher B. Williams, Charlie C.L. Wang, Yung C. Shin, Song Zhang, and Pablo D. Zavattieri. The status, challenges, and future of additive manufacturing in engineering. CAD Computer Aided Design, 69: 65–89, 2015. ISSN 00104485. https://doi.org/10.1016/j.cad.2015.04.001.

3. Praveena B.A, Lokesh N, Abdulrajak Buradi, Santhosh N, Praveena B L, and Vignesh R. A comprehensive review of emerging additive manufacturing (3d printing technology): Methods, materials, applications, challenges, trends and future potential. Materials Today: Proceedings, 52: 1309–1313, 2022. ISSN 2214-7853. https://doi.org/10.1016/j.matpr.2021.11.059, https://www.sciencedirect.com/science/article/pii/S2214785321070632. International Conference on Smart and Sustainable Developments in Materials, Manufacturing and Energy Engineering.

4. Ramakrishna Arni and S. K. Gupta. Manufacturability analysis of flatness tolerances in solid freeform fabrication. Journal of Mechanical Design, Transactions of the ASME, 123 (1): 148–156, 2001. ISSN 10500472. https://doi.org/10.1115/1.1326439.

5. Ratnadeep Paul and Sam Anand. Optimal part orientation in Rapid Manufacturing process for achieving geometric tolerances. Journal of Manufacturing Systems, 30 (4): 214–222, 2011. ISSN 02786125. https://doi.org/10.1016/j.jmsy.2011.07.010.

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