Laser power based surface characteristics models for 3-D printing process
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DOI: 10.1007/s10845-015-1167-9
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Cited by:
- Hong Seok Park & Dinh Son Nguyen & Thai Le-Hong & Xuan Tran, 2022. "Machine learning-based optimization of process parameters in selective laser melting for biomedical applications," Journal of Intelligent Manufacturing, Springer, vol. 33(6), pages 1843-1858, August.
- Hongjian Wu & Shaowu Liu & Xinliang Xie & Yicha Zhang & Hanlin Liao & Sihao Deng, 2022. "A framework for a knowledge based cold spray repairing system," Journal of Intelligent Manufacturing, Springer, vol. 33(6), pages 1639-1647, August.
- Thai Le-Hong & Pai Chen Lin & Jian-Zhong Chen & Thinh Duc Quy Pham & Xuan Tran, 2023. "Data-driven models for predictions of geometric characteristics of bead fabricated by selective laser melting," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1241-1257, March.
- Ohyung Kwon & Hyung Giun Kim & Min Ji Ham & Wonrae Kim & Gun-Hee Kim & Jae-Hyung Cho & Nam Il Kim & Kangil Kim, 2020. "A deep neural network for classification of melt-pool images in metal additive manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 31(2), pages 375-386, February.
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Keywords
Selective laser melting; Laser power; 3-D Printing; Energy efficiency; Surface roughness prediction; Surface waviness;All these keywords.
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