Research and Prediction of Wear Characteristics of Alfalfa Densification Die Based on the Discrete Element Method

Haijun Du, Hailong Du, Yanhua Ma (), He Su, Chuanzong Xuan and Jing Xue
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Haijun Du: College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, No. 36 Zhaowuda Road, Hohhot 010018, China
Hailong Du: Southwestern Institute of Physics, Chengdu 610041, China
Yanhua Ma: College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, No. 36 Zhaowuda Road, Hohhot 010018, China
He Su: College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, No. 36 Zhaowuda Road, Hohhot 010018, China
Chuanzong Xuan: College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, No. 36 Zhaowuda Road, Hohhot 010018, China
Jing Xue: College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, No. 36 Zhaowuda Road, Hohhot 010018, China

Agriculture, 2024, vol. 14, issue 8, 1-18

Abstract: In this study, the wear characteristics of the die were tested and analyzed through compaction tests, and the distribution of wear depth along the direction toward the extrusion outlet was obtained. A discrete element method (DEM) model of the die’s wear process was established. The results show that the severe wear area is located near the stop position of the compression rod, forming a plow-shaped wear area along the extrusion direction, accompanied by fatigue peeling. The wear depth gradually decreases towards the extrusion outlet. The DEM model partially reveals the occurrence of the wear phenomenon, but the particle motion speed deviates from the actual situation. The maximum compression force value range during the DEM compression stage is within the actual maximum compression force value range, and the relative error range of the average maximum compression force is less than 2%. By verifying the formula to calibrate the model, the calibrated model is compared with the actual mold wear, and the predicted value is close to the actual test result. The DEM can be used to explore the wear mechanism and predict the die’s wear failure process, laying the foundation for optimizing die wear resistance design.

Keywords: densification die; wear mechanisms; DEM model (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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