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A High-Accuracy Curve Boundary Recognition Method Based on the Lattice Boltzmann Method and Immersed Moving Boundary Method

Jie-Di Weng1, Yong-Zheng Jiang1,*, Long-Chao Chen1, Xu Zhang1, Guan-Yong Zhang2

1 Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan, 411201, China
2 School of Mechanical Engineering, Hunan Chemical Vocational Technology College, Zhuzhou, 412000, China

* Corresponding Author: Yong-Zheng Jiang. Email: email

Computer Modeling in Engineering & Sciences 2024, 140(3), 2533-2557. https://doi.org/10.32604/cmes.2024.051232

Abstract

Applying numerical simulation technology to investigate fluid-solid interaction involving complex curved boundaries is vital in aircraft design, ocean, and construction engineering. However, current methods such as Lattice Boltzmann (LBM) and the immersion boundary method based on solid ratio (IMB) have limitations in identifying custom curved boundaries. Meanwhile, IBM based on velocity correction (IBM-VC) suffers from inaccuracies and numerical instability. Therefore, this study introduces a high-accuracy curve boundary recognition method (IMB-CB), which identifies boundary nodes by moving the search box, and corrects the weighting function in LBM by calculating the solid ratio of the boundary nodes, achieving accurate recognition of custom curve boundaries. In addition, curve boundary image and dot methods are utilized to verify IMB-CB. The findings revealed that IMB-CB can accurately identify the boundary, showing an error of less than 1.8% with 500 lattices. Also, the flow in the custom curve boundary and aerodynamic characteristics of the NACA0012 airfoil are calculated and compared to IBM-VC. Results showed that IMB-CB yields lower lift and drag coefficient errors than IBM-VC, with a 1.45% drag coefficient error. In addition, the characteristic curve of IMB-CB is very stable, whereas that of IBM-VC is not. For the moving boundary problem, LBM-IMB-CB with discrete element method (DEM) is capable of accurately simulating the physical phenomena of multi-moving particle flow in complex curved pipelines. This research proposes a new curve boundary recognition method, which can significantly promote the stability and accuracy of fluid-solid interaction simulations and thus has huge applications in engineering.

Graphical Abstract

A High-Accuracy Curve Boundary Recognition Method Based on the Lattice Boltzmann Method and Immersed Moving Boundary Method

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APA Style
Weng, J., Jiang, Y., Chen, L., Zhang, X., Zhang, G. (2024). A high-accuracy curve boundary recognition method based on the lattice boltzmann method and immersed moving boundary method. Computer Modeling in Engineering & Sciences, 140(3), 2533-2557. https://doi.org/10.32604/cmes.2024.051232
Vancouver Style
Weng J, Jiang Y, Chen L, Zhang X, Zhang G. A high-accuracy curve boundary recognition method based on the lattice boltzmann method and immersed moving boundary method. Comput Model Eng Sci. 2024;140(3):2533-2557 https://doi.org/10.32604/cmes.2024.051232
IEEE Style
J. Weng, Y. Jiang, L. Chen, X. Zhang, and G. Zhang "A High-Accuracy Curve Boundary Recognition Method Based on the Lattice Boltzmann Method and Immersed Moving Boundary Method," Comput. Model. Eng. Sci., vol. 140, no. 3, pp. 2533-2557. 2024. https://doi.org/10.32604/cmes.2024.051232



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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