A review of deep learning in metal additive manufacturing: Impact on process, structure, and properties

已完结 10 由 My_soul 发布于 2025/11/13 16:43:28

DOI:10.1016/j.pmatsci.2025.101587
作者：Yang Du , Tuhin Mukherjee , Runsheng Li , Zejiang Hou , Samik Dutta , Craig B. Arnold , Alaa Elwany , Sunyuan Kung , Jiliang Tang , Tarasankar DebRoy
文献类型：期刊论文
补充材料：只需要正文

Elsevier

Abstract：Deep learning (DL) is increasingly used to predict and control the formation of microstructures, optimize properties, and reduce defects in additively manufactured metallic components. This

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