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Numerical simulation of gas–solid two-phase flow to predict the cleaning performance of rice combine harvesters

Authors :
Xiaoyu Chai
Li Yang
Guimin Wang
Yaoming Li
Baijun Li
Lizhang Xu
Liang Zhenwei
Source :
Biosystems Engineering. 190:11-24
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

To predict the cleaning performance of rice combine harvesters, numerical simulations of the air-and-screen cleaning unit using coupled computational fluid dynamics and discrete element method were used to study the gas–solid two-phase flow behaviour of the threshed mixture. The calculation methods investigated the centroid velocities of three particle classes: grains, stems and light impurities, and the degree of dispersion of all particles. It was found that the centroid velocity of the grain particles was the least affected by different working conditions at the same cleaning time, and the movement of grain particles did not reflect the varying cleaning performances. The degree of dispersion of all particles at each working condition reached a relatively stable state with cleaning times 1.3 s–2.0 s, and this period was taken as the analysis period. Cleaning performance experiments were carried out on the developed air-and-screen cleaning test-bed under corresponding conditions. The mathematical relationships between the centroid velocity of each particle class, the degrees of dispersion of all particles and the cleaning performance were studied. After comparison and analysis, it was concluded that the prediction model between the degree of dispersion of all particles and the cleaning loss ratio had an error less than 9.4%. The centroid velocity of short stem particles in X direction and the grain impurity ratio had an error less than 11.7%. This simulation method therefore had relatively good accuracy and can be used make up for the shortcomings caused by the seasonality of field testing and also save costs in designing cleaning units.

Details

ISSN :
15375110
Volume :
190
Database :
OpenAIRE
Journal :
Biosystems Engineering
Accession number :
edsair.doi...........6afd3456f90c1850e04caa4365699de0
Full Text :
https://doi.org/10.1016/j.biosystemseng.2019.11.014