This comprehensive review explores the intersection of additive manufacturing and deep learning. It discusses the potential of deep learning to overcome challenges in AM processes, such as complex interactions and high-dimensional data. The review summarizes recent studies applying deep learning in AM, highlighting contributions, limitations, challenges, and future opportunities. The paper also delves into data types, process monitoring, and control, as well as process, structure, and property modeling using deep learning techniques.
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by Amirul Islam... at arxiv.org 03-04-2024
https://arxiv.org/pdf/2403.00669.pdfDeeper Inquiries