Blade parameters optimization of pendulum mill based on discrete element analysis of particle kinematics

Jia Yao; Gangwei Shi; Wei Lu; Shenglong Meng; Xuemei Li

doi:10.1117/12.3026467

1 April 2024 Blade parameters optimization of pendulum mill based on discrete element analysis of particle kinematics

Jia Yao, Gangwei Shi, Wei Lu, Shenglong Meng, Xuemei Li

Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 1308223 (2024) https://doi.org/10.1117/12.3026467
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China

Abstract

In the grinding process of pendulum mills, blade parameter design significantly influences production efficiency. Blades throw the particles to the grinding area for grinding, also the blades design controls the particle movement trajectory. By using discrete element analysis software Rocky DEM, the grinding process is simulated in this paper. A response surface experiment of blade angle and length was conducted. Through analysis of particle number reaching grinding area, the influence laws of particle kinematics and grinding rate were revealed. With increasing blade angle or length, the throwing height and the number of particles in the grinding area increase. However, particles could not be effectively captured under extremely high blade angle and length, which reduced the grinding rate. The response surface results showed that the interaction of blade length and angle was significant, and the ranges of optimal blade angle and length are determined as 35°–38° and 225–245 mm, respectively. At the optimal blade parameters of 36°-227 mm, the grinding rate is 76.7%, 8% higher than that of the industrial blade parameter (32°-205 mm, 68.7%). This study provides a theoretical basis for the optimization design of the blade parameters of pendulum mills.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jia Yao, Gangwei Shi, Wei Lu, Shenglong Meng, and Xuemei Li "Blade parameters optimization of pendulum mill based on discrete element analysis of particle kinematics", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 1308223 (1 April 2024); https://doi.org/10.1117/12.3026467

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KEYWORDS

Particles

Pendulums

Design

Kinematics

Analytical research

Manufacturing

Radon

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