Efficient and accurate machine learning models for volume of fluid (VOF) simulation on uniform Cartesian mesh

Efficient and accurate machine learning models for volume of fluid (VOF) simulation on uniform Cartesian mesh

In this paper, we describe a machine learning (ML) approach for estimating interface orientation in multiphase flow using the volume of fluid (VOF) method on a uniform Cartesian mesh. By using complex shapes generated with the parametric radial star formula during training, we significantly improve...

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Bibliographic Details
Main Authors: Mostafa A. Rushdi, Shigeo Yoshida, Changhong Hu, Tarek N. Dief, Abdulrahman E. Salem, Mohamed M. Kamra
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
Machine learning
volume of fluid (VOF) method
interface orientation
multiphase flow
Cartesian mesh
Online Access:https://www.tandfonline.com/doi/10.1080/19942060.2025.2451774
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https://www.tandfonline.com/doi/10.1080/19942060.2025.2451774

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