A new CFD method enhanced by machine learning for violent free surfaces

2022 Fiscal Year Annual Research Report

• Project/Area Number: 22K14332
• Research Institution: Kyushu University
• Principal Investigator: カムラ モハメド・ムスタフア・ザキ・アハメド 九州大学, 応用力学研究所, 助教 (60870699)
• Project Period (FY): 2022-04-01 – 2023-03-31
• Keywords: THINC / multiphase / volume of fluid

Outline of Annual Research Achievements

Preliminary results for a new formula that will replace the currently employed Tangent Hyperbolic function in the THINC VOF scheme utilized for interface capture treatment in multiphase flow have been achieved. The proposed function, unlike the Tangent Hyperbolic function, can be integrated twice, saving computing costs associated with numerical integration. In a subset of test scenarios, the proposed scheme gives results that are comparable to state-of-the-art THINC techniques at around half the computational cost. However, the current results are still limited to Cartesian (Hexahedral mesh) grids, and there are some difficulties in extending the new approach to different types of unstructured grids.