| About this Abstract |
| Meeting |
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Symposium
|
2023 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2023)
|
| Presentation Title |
Modeling and Simulation of Vat Photopolymerization Additive Manufacturing: A Review
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| Author(s) |
Yousra Bensouda, Heyang Zhang, Yue Zhang, Xiayun Zhao |
| On-Site Speaker (Planned) |
Yousra Bensouda |
| Abstract Scope |
Vat photopolymerization (VPP) additive manufacturing (AM) has gained a lot of popularity across many industries, with various applications in biomedical engineering and electronics. This work aims to present a comprehensive review of existing work on model and simulation of conventional VPP processes and identify the critical gaps to improve the model prediction accuracy. Further, we propose a framework of developing comprehensive VPP processes via combining multiscale multi-physics modeling and simulation with machine learning to achieve surrogate modeling of VPP for compute efficiency and thus real-time process control. Moreover, we discuss the unique challenges in modeling and simulation of some emerging VPP processes such as two-wavelength VPP and possible physics-based data-driven methods by extending the methods that are aimed for improving traditional single-wavelength VPP.
Keywords: Photopolymerization, additive manufacturing, modeling and simulation, multimaterial, multiphysics, machine learning |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |