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Numerical simulation of gas–solid two-phase flow to predict the cleaning performance of rice combine harvesters
- 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.
- Subjects :
- Materials science
Computer simulation
business.industry
010401 analytical chemistry
Flow (psychology)
Soil Science
Centroid
04 agricultural and veterinary sciences
Mechanics
Computational fluid dynamics
01 natural sciences
Discrete element method
0104 chemical sciences
Control and Systems Engineering
040103 agronomy & agriculture
0401 agriculture, forestry, and fisheries
Particle
Two-phase flow
Dispersion (chemistry)
business
Agronomy and Crop Science
Food Science
Subjects
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