Machine learning based approach for surface roughness prediction in precision dental prototyping

Abstract Complex geometries achievable with resin-based 3D printing are susceptible to lower levels of surface roughness, particularly in areas where support structures are attached and removed. The slicing parameter serves as the cornerstone for developing a model for predicting the corresponding o...

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Hlavní autoři:	Anmol Sharma, Ravinder S. Saini, Ashish Kaushik, Abdulmajeed Okshah, Mohamed Saheer Kuruniyan, Vishwanath Gurumurthy, Rajesh Vyas, Rayan Ibrahim H. Binduhayyim, Artak Heboyan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-09-01
Edice:	Scientific Reports
Témata:	Additive manufacturing Resin Process modelling Hyperparameter tuning
On-line přístup:	https://doi.org/10.1038/s41598-025-17487-z
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