基于LBM-DEM-IMB的流体-颗粒系统的曲线边界识别方法

翁杰弟, 姜永正, 傅佳豪, 陶恋, 杨景云

太阳能学报 ›› 2025, Vol. 46 ›› Issue (6) : 691-699.

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (6) : 691-699. DOI: 10.19912/j.0254-0096.tynxb.2024-0285

基于LBM-DEM-IMB的流体-颗粒系统的曲线边界识别方法

  • 翁杰弟, 姜永正, 傅佳豪, 陶恋, 杨景云
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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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摘要

为解决现有数值模拟技术模拟生物质颗粒在曲线管道中与流体混合流动时易卡阻和效率低的问题,提出一种新的边界识别方法来识别复杂的自定义曲线边界,并通过自定义曲线边界中流体-颗粒的流动验证LBM-DEM-IMB和所提出算法的有效性和准确性。结果表明,曲线边界识别方法在获得光滑曲线边界方面具有较高可行性和准确性,且合理反映了曲线边界对颗粒流动行为的影响,如颗粒在管道凹坑中的滞留和弯管内颗粒自由沉降时的瑞利-泰勒不稳定性。为提高IMB对曲线边界中流体-颗粒系统的计算能力及研究颗粒流动和提高如生物质颗粒的运输和加工效率提供一种有效的数值计算方法。

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.

关键词

生物质 / 计算流体力学 / 液固两相流 / 格子玻尔兹曼法 / 离散元法 / 曲线边界识别算法

Key words

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

引用本文

导出引用
翁杰弟, 姜永正, 傅佳豪, 陶恋, 杨景云. 基于LBM-DEM-IMB的流体-颗粒系统的曲线边界识别方法[J]. 太阳能学报. 2025, 46(6): 691-699 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0285
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
中图分类号: TK6   

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基金

湖南省自然资源厅科研项目(HBZ20240134); 湖南省自然科学基金面上项目(2025JJ50269); 湖南省教育厅科学基金优秀青年项目(22B0464)

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