Investigation into Experimental and DEM Simulation of Guide Blade Optimum Arrangement in Multi-Rotor Combine Harvesters

The cleaning performance of the cleaning shoe of a multi-rotor combine harvester has proven to be poor owing to the threshed output entering the cleaning section in an uneven manner. Experimental results indicated that the arrangement of the guide blades on the return plate surface has a significant...

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Bibliographic Details
Published in:Agriculture (Basel) 2022-03, Vol.12 (3), p.435
Main Authors: Liang, Zhenwei, Li, Jun, Liang, Jianmin, Shao, Yifan, Zhou, Tengfei, Si, Zengyong, Li, Yaoming
Format: Article
Language:English
Subjects:
Agricultural equipment
Blades
Cleaning
combine harvester
Combine harvesters
DEM
Discrete element method
Experiments
field test
Gas flow
Generators
guide blade
Harvesting
Laboratories
Methods
Moisture content
return plate
Rice
Rotors
Simulation
Software
threshed output
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Summary:The cleaning performance of the cleaning shoe of a multi-rotor combine harvester has proven to be poor owing to the threshed output entering the cleaning section in an uneven manner. Experimental results indicated that the arrangement of the guide blades on the return plate surface has a significant effect on the threshed output distribution. In this paper, DEM (discrete element method) simulations were carried out in the EDEM software to examine the effect of the height of the guide blade, the installation angle, and the number of guide blades on threshed output distribution before entering the cleaning shoe. Based on the simulated results under different guide blades arrangements, the optimum arrangement location was obtained. The simulation’s results were verified by a field experiment and were consistent with the experimental results. The field experiment results indicate that the cleaning performance significantly improved with the proper guide blade arrangement. The corresponding grain impurity ratio declined significantly from 1.26% to 0.67%, and the grain sieve loss ratio, with a decrease of 53.2%, was reduced from 1.11% to 0.52%.
ISSN:2077-0472
2077-0472
DOI:10.3390/agriculture12030435