AI for AM in zirconia ceramic vat photopolymerization: a machine learning approach to stabilising slurry suspension and maximizing dimensional accuracy of the 3D print process

The stability of ceramic suspensions and the dimensional accuracy of green bodies are critical factors influencing both printing process and the quality of the final component. Therefore, assessing dispersant agents and stability is essential during the suspension development stage. A novel power-la...

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Bibliographic Details
Main Authors: Fatih Tarak, Leah Okoruwa, Basar Ozkan, Farzaneh Sameni, Gerald Schaefer, Ehsan Sabet
Format: Default Article
Published: 2025
Subjects:
Manufacturing engineering
Materials engineering
Ceramic vat-potopolymerisation
Ceramic suspension stability
Zirconia
Machine learning
Additive manufacturing
Online Access:https://hdl.handle.net/2134/29656757.v1
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