CURVE BOUNDARY IDENTIFICATION METHOD FOR FLUID-PARTICLE SYSTEMS BASED ON LBM-DEM-IMB

Weng Jiedi, Jiang Yongzheng, Fu Jiahao, Tao Lian, Yang Jingyun

Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (6) : 691-699.

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (6) : 691-699. DOI: 10.19912/j.0254-0096.tynxb.2024-0285

CURVE BOUNDARY IDENTIFICATION METHOD FOR FLUID-PARTICLE SYSTEMS BASED ON LBM-DEM-IMB

  • Weng Jiedi, Jiang Yongzheng, Fu Jiahao, Tao Lian, Yang Jingyun
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Abstract

To address the challenges posed by existing numerical simulation techniques, which often encounter issues of jamming and low efficiency when simulating the flow of biomass particles mixed with fluid in curved pipes, this paper introduces a novel boundary identification method. This method aims to accurately identify complex customized curved boundaries. Furthermore, the effectiveness and accuracy of both LBM-DEM-IMB and the proposed algorithms are validated through simulations of fluid-particle flow within customized curved boundaries. The results indicate that the curvilinear boundary identification method exhibits high feasibility and accuracy in delineating smooth curvilinear boundaries. Moreover, it aptly captures the effects of curvilinear boundaries on particle flow behavior, including particle retention in pipe craters and the occurrence of Rayleigh-Taylor instability during the free settling of particles in curved pipes. This study provides an effective numerical calculation method to enhance the computational capability of IMB for fluid-particle systems within curved boundaries. Additionally, it offers insights into particle flow dynamics, with the ultimate goal of improving the transportation and processing efficiency of biomass particles and similar materials.

Key words

biomass / computational fluid dynamics / two-phase flow / lattice Boltzmann method / discrete element method / curve boundary recognition algorithm

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Weng Jiedi, Jiang Yongzheng, Fu Jiahao, Tao Lian, Yang Jingyun. CURVE BOUNDARY IDENTIFICATION METHOD FOR FLUID-PARTICLE SYSTEMS BASED ON LBM-DEM-IMB[J]. Acta Energiae Solaris Sinica. 2025, 46(6): 691-699 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0285

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