Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges

arXiv:2403.00669v1 Announce Type: new
Abstract: Additive manufacturing (AM) has already proved itself to be the potential alternative to widely-used subtractive manufacturing due to its extraordinary capacity of manufacturing highly customized products with minimum material wastage. Nevertheless, it is still not being considered as the primary choice for the industry due to some of its major inherent challenges, including complex and dynamic process interactions, which are sometimes difficult to fully understand even with traditional machine learning because of the involvement of …

abstract additive manufacturing arxiv capacity challenges cs.lg current deep learning future manufacturing material products progress review through type