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A modified CFD-DEM method for accurate prediction of the minimum fluidization velocity

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摘要 Monodisperse fluidized bed experiments have been carried out on 13 kinds of particles with different particle sizes in a cylindrical fluidized bed. The accuracy of nine commonly used monodisperse drag models, including the Gidsapow, BVK, and Zhou–Fan models is verified. It is found that the Zhou–Fan model is the most accurate at low and moderate values of the particle Reynolds number. It is found that with the traditional computational fluid dynamics–discrete element method(CFD-DEM) method it is difficult to obtain an accurate minimum fluidization velocity owing to difficulty in obtaining an accurate value of the minimum fluidization solid volume fraction. A modified method is proposed to increase the accuracy of prediction of the minimum fluidized solid volume fraction by using a virtual particle size in the calculation of the particle collision process. The effectiveness of the modified method is verified by comparing the CFD-DEM simulation results with experimental results for Geldart-D particles. The relative error of the minimum fluidization velocity is found to be reduced from 24.6% to 2%.
出处 《International Journal of Fluid Engineering》 2024年第2期40-49,共10页 国际流体工程(英文)
基金 financial support from the National Natural Science Foundation of China (Grant Nos. 21978228 and 22308187) the Programme of Introducing Talents of Discipline to Universities (Grant No. B23025) the Shaanxi Creative Talents Promotion Plan–Technological Innovation Team (Grant No. 2019TD-039) the Fundamental Research Funds for the Central Universities (Creative Team Plan No. cxtd2017004 in Xi’an Jiaotong University)
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