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Botao Jiang

City University of Hong Kong

  • City University of Hong Kong

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Scholarly Papers (1)

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Proposal of a novel deep learning-driven framework for quantitative investigation of parameter-process-quality relationships in wire laser directed energy deposition

Number of pages: 57 Posted: 01 Jul 2026
Yichang Zhou, Yang Gao, Haodong Zhao, Zhaosheng Li, Kaiwen Zhang, Long Ye, Botao Jiang, Hao Xue, Guoda Chen, Ruslan Melentiev and Nan Yu
University of Huddersfield, affiliation not provided to SSRN, University of Huddersfield, University of Edinburgh, University of Edinburgh, University of Edinburgh, City University of Hong Kong, University of Edinburgh, Zhejiang University of Technology, University of Nottingham and University of Edinburgh
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Deep learning, semantic segmentation, Metal Additive Manufacturing, Directed Energy Deposition, Melt pool dynamics, Spatiotemporal analysis