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Numerical simulation and parameter optimization of Coriolis force scale measurement process based on DEM

作     者:Haiting Liu Yong Yang Xiangliang Wang Jiewen Deng Bingbing Wang Haiting Liu;Yong Yang;Xiangliang Wang;Jiewen Deng;Bingbing Wang

作者机构:School of Energy and Power EngineeringNortheast Electric Power UniversityJilin132012China CNBM Hefei Mechanical&Electrical Engineering Technology Co.LtdHefei230051China 

出 版 物:《Particuology》 (颗粒学报(英文版))

年 卷 期:2024年第90卷第7期

页      面:128-139页

核心收录:

学科分类:07[理学] 070202[理学-粒子物理与原子核物理] 0702[理学-物理学] 

基  金:Natural Science Foundation of jilin Province(grant No.20230101329JC) 

主  题:Parameter optimization Discrete element method Coriolis force scale Measurement error Numerical simulation 

摘      要:The Coriolis force method is a recently developed and highly regarded direct measurement technique that enables high-precision measurement of bulk *** operational parameters and variations thereof directly influence the measurement accuracy of the *** this study,a measurement correction coefficient is introduced to improve the calculation method for mass flow rate of the *** DEM is employed to simulate the motion of particle groups within the Coriolis force scale under different parameters,and the effects of various structural and operational parameters on the measurement results are *** research findings indicate that a lower rotational speed leads to more stable instantaneous measurement results,although the measurement error is relatively *** the rotational speed exceeds 300 rpm,the measurement error remains within 15%.For materials with a radius of 1–2 mm,the variation range of precision error is approximately 0.4%.Among the structural parameters,the radius of the measurement wheel has the most significant impact on the measurement results,wherein a larger measurement wheel radius corresponds to a smaller measurement *** horizontal angle of the blades follows as the next influential parameter,with a clockwise rotation and a horizontal angle of 30°resulting in a measurement error below 2%.

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