The 6th International
Symposium on Thermal-Fluid Dynamics
(ISTFD 2025)
The 6th International
Symposium on Thermal-Fluid Dynamics
(ISTFD 2025)
Prof. Yujie Chen
Beijing Institute of Petrochemical Technology, China
E-mail:
Bio
Yujie Chen is a full professor at Beijing Institute of Petrochemical Technology. His research focuses on numerical simulation methods for gas-liquid two-phase flow and their applications in boiling heat transfer. He was selected for the 2024 Youth Talent Support Program of the Beijing Association for Science and Technology and three Best Paper Awards. Over the past five years, he has published more than 70 SCI-indexed papers, including over 30 as first or corresponding author. He serves as a special issue editor for SCI journals and is a member of the Scientific Advisory Board of the SDEWES Conference. He has served as session chair at five international conferences and delivered five invited talks at domestic and international academic events.
Title
Curve interface reconstruction algorithms for capturing the interface of two-phase flow
Abstract
The curve interface reconstruction algorithm has received significant attention in the context of two-dimensional two-phase flow. However, it remains absent in the three-dimensional scenario. In our study, a three-dimensional curve interface reconstruction (CIR) algorithm is proposed to address this challenge within structured meshes. Specifically, a portion of the spherical surface is employed to reconstruct the three-dimensional curve interface segment, with the radius and center coordinates determined by curvature and mass conservation constraints, respectively. To enhance curvature accuracy, a sphere-based iterative reconstruction (SIR) algorithm is proposed to calculate the reconstructed distance function (RDF) for the three-dimensional curve interface. Various tests involving the interface reconstruction of spherical, ellipsoidal, and cubic objects demonstrate that the coupled SIR and CIR (SIR-CIR, simplified by SCIR) method achieves higher accuracy than many popular methods, particularly with coarse mesh resolutions. Additionally, the SCIR method offers the advantages of straightforward implementation and coding for interface reconstruction in two-phase flow research. This advantage results in reduced computational costs compared to the coupled volume-of-fluid and level set (VOSET) method, which also utilizes an iterative method to solve RDF.