Design and trial of axial bow\|tooth sunflower threshing device
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DOI:10.7606/j.issn.1000-7601.2024.03.30
Key Words: sunflower  threshing drum  bow\|tooth  parameter optimization
Author NameAffiliation
YANG Xingyu Institute of Mechanical Equipment, Xinjiang Academy of Agricultural and Reclamation Science, Shihezi, Xinjiang 832000, China
School of Mechanical and Electrical Engineering, Shihezi University, Shihezi, Xinjiang 832000, China 
LI Bin Institute of Mechanical Equipment, Xinjiang Academy of Agricultural and Reclamation Science, Shihezi, Xinjiang 832000, China 
WANG Shiguo Institute of Mechanical Equipment, Xinjiang Academy of Agricultural and Reclamation Science, Shihezi, Xinjiang 832000, China 
LIU Yang Institute of Mechanical Equipment, Xinjiang Academy of Agricultural and Reclamation Science, Shihezi, Xinjiang 832000, China 
DONG Yuncheng Institute of Mechanical Equipment, Xinjiang Academy of Agricultural and Reclamation Science, Shihezi, Xinjiang 832000, China 
LIU Xiangxin Institute of Mechanical Equipment, Xinjiang Academy of Agricultural and Reclamation Science, Shihezi, Xinjiang 832000, China 
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Abstract:
      To resolve problems of inadequate threshing of anemone, easy breakage of seeds of threshing drum, a bow\|tooth axial flow threshing anemone harvester threshing device for anemone threshing was designed. The dynamic analysis of the force on the sunflower disc in the threshing drum was carried out. The discrete element simulation software EDEM was used to analyze the speed and displacement of the axial movement of the sunflower disc as well as the trajectory of the movement. The effects of water content, drum speed and feeding amount on the seed breakage rate and the unthreshed rate were obtained through a one\|factor test. Based on the results of the single\|factor test, an orthogonal test was carried out with water content, drum speed and feeding amount as test factors, and the undetached rate and breakage rate of anemone as evaluation indexes. The results were analyzed by analysis of variance with the help of Design expert to establish the regression model of the influencing factors and the evaluation indexes. Based on the response surface method, the multi\|objective optimization of water content, drum speed and feeding volume was carried out with low breakage rate and uncleaned rate as the target. The optimal combination of operating parameters was obtained with water content of 22%, feeding volume of 1.45 kg·s-1, and drum speed of 318 r·min-1. Validation tests were carried out with the optimized combination of parameters.The results showed that the seed was cleaned up to 0.51%, and the breakage rate was 0.67%, meeting the requirements of China’s mechanical engineering industry.