Author

A. Thanikasalam

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Review Aug 2026

Machine learning for predictive modeling and process optimization in fused deposition modeling of polymer parts: a systematic review

This article presents how ML approaches may speed up material discovery, reduce trial-and-error, and enable individualized design solutions for 3D-printed polymers across a variety of contexts.

N. Senthilkumar, S. Gopalakrishnan, S. Gopinath et al. · Interactions · 0 citations