Optimization and analysis of parameters of sea buckthorn frozen fruit vibrating cleaning device based on EDEM
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DOI:10.7606/j.issn.1000-7601.2024.03.29
Key Words: sea buckthorn  vibrating screen  discrete element  penetration probability, cleanliness rate
Author NameAffiliation
ZHANG Qianglin College of Mechanical and Electrical Engineering, Gansu Agriculture University, Lanzhou, Gansu 730070, China 
HU Jingming College of Mechanical and Electrical Engineering, Gansu Agriculture University, Lanzhou, Gansu 730070, China 
YANG Mei College of Mechanical and Electrical Engineering, Gansu Agriculture University, Lanzhou, Gansu 730070, China 
YANG Jinfa College of Mechanical and Electrical Engineering, Gansu Agriculture University, Lanzhou, Gansu 730070, China 
LI Moruo College of Mechanical and Electrical Engineering, Gansu Agriculture University, Lanzhou, Gansu 730070, China 
WANG Qingze College of Mechanical and Electrical Engineering, Gansu Agriculture University, Lanzhou, Gansu 730070, China 
ZHANG Wenjie College of Mechanical and Electrical Engineering, Gansu Agriculture University, Lanzhou, Gansu 730070, China 
BI Yang College of Food Science and Engineering, Gansu Agriculture University, Lanzhou, Gansu 730070, China 
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Abstract:
      Aiming at solving problems of low cleanliness rate and easy clogging of screens in the cleaning and processing of sea buckthorn frozen berries, this study used EDEM software to optimize the structural and motion parameters of the vibrating cleaning device. Using frozen berries, branches, and fruit stems from mechanical dehulling of quick\|frozen sea buckthorn branches and fruits as experimental materials to measure the size characteristics of the materials and carry out the dynamic analysis of the vibration cleaning device and the force analysis of the particles on the sieve. Based on the analysis of the influence of different shapes and sizes of screen mesh combinations on the cleaning rate and penetration probability of the vibration cleaning device, the design parameters of the screen mesh were determined as follows: the first layer of screen mesh was a circular hole with a diameter of 11 mm, the second layer of screen mesh was a circular hole with a diameter of 9 mm, and the third layer of screen mesh was a long hole with a diameter of 5 mm × 25 mm. The single factor test results showed that the change of amplitude did not significantly affect the cleanliness rate and penetration probability, and the amplitude of the sieve body was selected as 6 mm to ensure the high cleanliness rate. The vibration frequency, vibration direction angle, and screen surface inclination angle as the test factors, the??cleanliness rate and the penetration probability as the test indicators were selected to design the quadratic orthogonal rotation combination test and establish the mathematical model between each factor and the index. The optimal combination of the optimization results was as follows: when the vibration frequency was 17.52 Hz, the vibration direction angle was 44.7°, and the screen surface inclination angle was 1.56°, the cleanliness rate of the vibrating cleaning device was 99.62%, and the screening probability was 33.42%. The optimal parameter combination was verified by bench test and simulation test, and the results showed that the results of bench test and simulation test were basically consistent with a relative error of 1.13% for cleaning and 1.68% for particle screening quantity. This study can provide a theoretical basis for the optimization design of the vibration cleaning device for sea buckthorn frozen berries.