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

被引:0
|
作者
Liu, Haiting [1 ]
Yang, Yong [2 ]
Wang, Xiangliang [1 ]
Deng, Jiewen [1 ]
Wang, Bingbing [1 ]
机构
[1] Northeast Elect Power Univ, Sch Energy & Power Engn, Jilin 132012, Peoples R China
[2] CNBM Hefei Mech & Elect Engn Technol Co Ltd, Hefei 230051, Peoples R China
来源
PARTICUOLOGY | 2024年 / 90卷
关键词
Parameter optimization; Discrete element method; Coriolis force scale; Measurement error; Numerical simulation; FLOW;
D O I
10.1016/j.partic.2023.11.022
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The Coriolis force method is a recently developed and highly regarded direct measurement technique that enables high-precision measurement of bulk materials. The operational parameters and variations thereof directly influence the measurement accuracy of the equipment. In this study, a measurement correction coefficient is introduced to improve the calculation method for mass flow rate of the materials. 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 compared. The research findings indicate that a lower rotational speed leads to more stable instantaneous measurement results, although the measurement error is relatively large. When 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 error. The horizontal angle of the blades follows as the next influential parameter, with a clockwise rotation and a horizontal angle of 30 degrees resulting in a measurement error below 2%.(c) 2023 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:128 / 139
页数:12
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