Numerical simulation and parameter optimization of Coriolis force scale measurement process based on DEM--颗粒学报PARTICUOLOGY

Liu, H., Yang, Y., Wang, X., Deng, J., & Wang, B. (2024). Numerical simulation and parameter optimization of Coriolis force scale measurement process based on DEM. Particuology, 90, 128-139. https://doi.org/10.1016/j.partic.2023.11.022

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

Haiting Liu^a, Yong Yang^b, Xiangliang Wang ^a, Jiewen Deng ^a *, Bingbing Wang ^a

a School of Energy and Power Engineering, Northeast Electric Power University, Jilin, 132012, China
b CNBM Hefei Mechanical & Electrical Engineering Technology Co. Ltd, Hefei, 230051, China

10.1016/j.partic.2023.11.022

Volume 90, July 2024, Pages 128-139

Received 3 September 2023, Revised 12 November 2023, Accepted 15 November 2023, Available online 4 December 2023, Version of Record 26 December 2023.

E-mail: 20182798@neepu.edu.cn

Highlights

• Systematically study the impact of using DEM on measurement accuracy.

• Proposed a measurement correction calculation method.

• The range of correction coefficient values has been determined

• Blockage at inlet alters particle paths but not measurements.

• Investigated the effects of parameter variations on transient torque fluctuations.

Abstract

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° resulting in a measurement error below 2%.

Graphical abstract

Keywords

Parameter optimization; Discrete element method; Coriolis force scale; Measurement error; Numerical simulation

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