Machine learning-driven optimization for surface roughness prediction of vertical orientation measurements on 3D printed components

Surface roughness accuracy can be challenging in Additive Manufacturing (AM) because traditional point-based measurements often fail to capture the full range of surface characteristics. This study investigates how machine learning (ML) can improve roughness prediction by integrating image-based ana...

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Autors principals:	Nur Islahudin, Dony Satriyo Nugroho, Dewa Kusuma Wijaya, Amalia, Herwin Suprijono, Turnad Lenggo Ginta, Muizuddin Azka, Helmy Rahadian
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2025-09-01
Col·lecció:	Cleaner Engineering and Technology
Matèries:	3D printing Roughness Prediction Optimization Machine learning
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2666790825001697
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