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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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Main Authors: Nur Islahudin, Dony Satriyo Nugroho, Dewa Kusuma Wijaya, Amalia, Herwin Suprijono, Turnad Lenggo Ginta, Muizuddin Azka, Helmy Rahadian
Format: Artigo
Language:Inglês
Published: Elsevier 2025-09-01
Series:Cleaner Engineering and Technology
Subjects:
3D printing
Roughness
Prediction
Optimization
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666790825001697
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