EN基于LBM-DEM-IMB的流体-颗粒系统的曲线边界识别方法
基于LBM-DEM-IMB的流体-颗粒系统的曲线边界识别方法
- 太阳能学报 2025年46卷第6期 页码：691-699
- 作者机构：
- 作者简介：
- 基金信息：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）
DOI：doi:10.19912/j.0254-0096.tynxb.2024-0285
中图分类号： TK6-
网络出版：2025-07-07，
纸质出版：2025
- 稿件说明：
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翁杰弟, 姜永正, 傅佳豪, 等. 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.
翁杰弟, 姜永正, 傅佳豪, et al. 基于LBM-DEM-IMB的流体-颗粒系统的曲线边界识别方法[J]. 2025, 46(6): 691-699.
翁杰弟, 姜永正, 傅佳豪, 等. 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. DOI： doi:10.19912/j.0254-0096.tynxb.2024-0285.
翁杰弟, 姜永正, 傅佳豪, et al. 基于LBM-DEM-IMB的流体-颗粒系统的曲线边界识别方法[J]. 2025, 46(6): 691-699. DOI： doi:10.19912/j.0254-0096.tynxb.2024-0285.
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.
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references
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