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A three-dimensional curve interface reconstruction algorithm for two-phase fluid flow

delete2025-01-01
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PRE
AI
陈宇杰 (Yujie Chen)
J
Junhua Gong
孙东亮 (Dongliang Sun)
韩东旭 (Dongxu Han)
P
Peng Wang
余波 cover
余波 (Bo Yu) *
冀文涛 cover
冀文涛 (Wen‐Quan Tao)
DOI:10.1016/j.jcp.2024.113489delete
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Abstract

Abstract

En 中文
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. This paper proposes a novel three-dimensional curve interface reconstruction (CIR) algorithm to address this challenge within structured meshes for the first time. 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 threedimensional 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.
Keywords:
Curve interface reconstruction algorithm
Sphere-based iterative reconstruction algorithm
Three-dimensional two-phase flow

Journal

Journal of Computational Physics cover
Journal of Computational Physics
IF:
3.8
Papers:
1.5W
Citations:
7.4W

Organization

X
xi'an jiaotong university
Scholars:
9.1W
Papers: 6.6W
Citations: 75
B
Beijing Institute of Petrochemical Technology
Scholars:
2.3K
Papers: 1.2K
Citations: 2.9K