NUMERICAL SIMULATION AND PARAMETER OPTIMIZATION OF COMBINED CUTTING AND CRUSHING FORAGE CRUSHER

The lack of effective visualization research methods for the crushing process of grass kneading has restricted the development of grass kneading machine to a certain extent. In this paper, the hay kneading process was numerically simulated by using the discrete element method, the stem movement rule, the mechanical characteristics of the stem particle group and the power consumption of the kneading were analyzed, and the motion and breaking mechanism of the grass in the hay kneading machine were defined. The effects of motor output speed and feed rate on the spinning rate and power consumption were studied. The regression equation between test factors and evaluation indexes was established. With the goal of maximizing the silk rates and minimizing the power consumption, the motor output speed and feeding amount are optimized and solved. The optimal parameter combination is determined as follows: when the output speed of the motor is 282.88r/min and the feeding amount is 1.86kg/s, the knead verification test shows that the silk rates is 92.88% and the power consumption is 3.68kJ. The research results provide a reference for realizing high efficiency and low power consumption of grass kneading and parameter optimization of kneading device.

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Institutions

Publication Details

Journal
INMATEH Agricultural Engineering
Published
2025-04-07
DOI
https://doi.org/10.35633/inmateh-75-08
Citations
2
Primary Topic
Mineral Processing and Grinding
Type
article
Field-Weighted Citation Impact
1.43

Funders

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article

NUMERICAL SIMULATION AND PARAMETER OPTIMIZATION OF COMBINED CUTTING AND CRUSHING FORAGE CRUSHER

Wen-sheng SUN, Shujuan Yi, Tao Chen, Song Wang
2 citations
INMATEH Agricultural Engineering
Mineral Processing and Grinding
1.43
article

NUMERICAL SIMULATION AND PARAMETER OPTIMIZATION OF COMBINED CUTTING AND CRUSHING FORAGE CRUSHER

Wen-sheng SUN, Shujuan Yi, Tao Chen, Song Wang
article en
2 citations

Abstract

The lack of effective visualization research methods for the crushing process of grass kneading has restricted the development of grass kneading machine to a certain extent. In this paper, the hay kneading process was numerically simulated by using the discrete element method, the stem movement rule, the mechanical characteristics of the stem particle group and the power consumption of the kneading were analyzed, and the motion and breaking mechanism of the grass in the hay kneading machine were defined. The effects of motor output speed and feed rate on the spinning rate and power consumption were studied. The regression equation between test factors and evaluation indexes was established. With the goal of maximizing the silk rates and minimizing the power consumption, the motor output speed and feeding amount are optimized and solved. The optimal parameter combination is determined as follows: when the output speed of the motor is 282.88r/min and the feeding amount is 1.86kg/s, the knead verification test shows that the silk rates is 92.88% and the power consumption is 3.68kJ. The research results provide a reference for realizing high efficiency and low power consumption of grass kneading and parameter optimization of kneading device.

INMATEH Agricultural Engineering
Heilongjiang Bayi Agricultural University (CN)
National Natural Science Foundation of China, Heilongjiang Bayi Agricultural University
Openalex Percentile: Top 21%
Mineral Processing and Grinding
1.43
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