详细信息
An Enhanced Numerical Simulation of Porous ParticleMovements by Coupling Porous Drag Correlation Considering the Permeability ( SCI-EXPANDED收录)
文献类型:期刊文献
英文题名:An Enhanced Numerical Simulation of Porous ParticleMovements by Coupling Porous Drag Correlation Considering the Permeability
作者:Huang, Qinghai[1];Yan, Shijie[2];Song, Siduo[1];Zhang, Weijie[1];Yang, Hang[3];Guo, Qiang[4];Wang, Zhiwen[1];Huang, Hongliang[1];Ma, Likun[1];Bai, Zhishan[1]
机构:[1]East China Univ Sci & Technol, Sch Mech & Power Engn, Shanghai 200237, Peoples R China;[2]Naval Med Res Inst PLA, Shanghai 200040, Peoples R China;[3]Sinopec Shanghai Res Inst Petrochem Technol, Shanghai 201208, Peoples R China;[4]Chinese Acad Sci, Inst Proc Engn, State Key Lab Mesosci & Engn, Beijing 100190, Peoples R China
年份:2026
外文期刊名:INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
收录:;WOS:【SCI-EXPANDED(收录号:WOS:001842618700001)】;
基金:This work is part of a research program financially supported by the National Key R&D Program of China (No. 2024YFC3013500), the National Natural Science Foundation of China (No. 22308105), the National Science Fund for Distinguished Young Scholars, China (No. 22225804), the Shanghai Pujiang Program (No. 24PJD023), the Shanghai Postdoctoral Excellence Program (No. 2023244), the College Students' Innovative Entrepreneurial Training Plan Program (No. 202510251066), the Innovation Program of Shanghai Municipal Education Commission (No. 2023ZKZD38), and the Fundamental Research Funds for the Central Universities.
语种:英文
摘要:Porous particles are widely encountered in industrial processes. However, predictions of their motion still largely rely on drag correlations originally developed for solid particles, which may lead to significant deviations. Using symbolic regression, this study proposed a new drag correlation for porous particles, which considers porosity and permeability. The correlation ensures both physical meaning and high prediction accuracy over a wide range of Reynolds numbers. Then, the correlation was embedded into numerical simulation frameworks, and a systematic simulation on the settling behaviors of single solid and porous particles was conducted. Compared with five classical drag correlations for solid spheres, simulations based on the new drag correlation agreed better with both porous particle and solid particle settling processes observed in particle tracking velocimetry settling experiments. It was found that terminal settling velocities of porous particles were often overestimated by 15%-30% when using traditional solid drag correlations. However, after applying the proposed drag correlation for porous particles, the average deviation of terminal settling velocity was reduced to 5%. This correlation provided a reliable basis for drag closure in multiphase-flow numerical simulations of complex systems that contain porous particles (e.g., porous adsorbents, catalysts, and agglomerated particles) and offered a new method to enhance the predictive accuracy of porous-particle simulations in multiphase flows.
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