Volume penalization method for simulating flows around a rotating solid with multiple reference frame and sliding mesh
Ming Liu, Yosuke Hasegawa
TL;DR
This paper presents a volume penalization method (VPM) integrated with multiple reference frame (MRF) and sliding mesh (SLM) to simulate flows around rotating solids on Cartesian grids using a level-set representation. By formulating unified governing equations for both fluid and solid regions, the authors validate the approach against body-fitted methods, achieving about 5% accuracy in pressure drop and 8–9% in torque for rotating cuboid flows across a range of $Re_{\omega}$. The study demonstrates that VPM-MRF and VPM-SLM can reproduce key flow features while avoiding body-fitted meshing, offering computational efficiency and suitability for forward design and topology optimization in turbomachinery. This framework thus provides a practical, flexible tool for simulating complex rotating flows with potentially significant energy-efficiency implications in turbomachinery applications.
Abstract
Despite the significant role of turbomachinery in fluid-based energy transfer, precise simulation of rotating solid objects with complex geometry is a challenging task. In the present study, the volume penalization method (VPM) is combined with multiple reference frame (MRF) and sliding mesh (SLM), respectively, so as to develop immersed-boundary approaches for simulating flows around a rotating solid. The level-set function is adopted to represent arbitrary geometries embedded in Cartesian grids. The VPM body-forcing terms in the momentum equation are proposed for MRF and SLM, respectively, so as to build unified governing equations for both fluid and solid regions. The flows around a rotating cuboid under various rotating speeds are simulated by the present schemes, namely, VPM with MRF, and VPM with SLM, and compared to corresponding simulations by the body-fitted method (BFM). The results suggest the relative deviations of predicted pressure drop and torque between the present VPM and BFM are around 5%, demonstrating the validity of the present VPM.
