Analysis and Structural Optimization Test on the Collision Mechanical Model of Blade Jun-Cao Grinding Hammer

• Published in: Agriculture (Basel) 2024-03, Vol.14 (3), p.492
• Main Authors: Zheng, Shuhe, Chen, Chongcheng, Guo, Yuming
• Format: Article
• Language: English
• Subjects: CCD test; Collision dynamics; Design; EDEM; Efficiency; Energy consumption; genetic algorithm; Genetic algorithms; hammer; Hammer mills; Jun-Cao; Multiple objective analysis; Mushrooms; Optimization; Optimization algorithms; Simulation; Thickness; Velocity
• ISSN: 2077-0472; 2077-0472
• DOI: 10.3390/agriculture14030492

Aiming at the problems found in grinding Jun-Cao, such as poor grinding effect and high grinding power of mill, this study proposes a blade Jun-Cao grinding hammer based on the traditional hammer mill. With dynamics model analysis, it had better performance than a traditional hammer. By simulating the operation process in the DEM, forces on Jun-Cao and their motions were analyzed. By optimizing the structural parameters of the hammer blade based on multiobjective optimization using the genetic algorithm, an optimal solution set was obtained as a reference for practical production. Meanwhile, a bench test was designed to compare the traditional rectangular hammer with the new blade hammer regarding the operation effect. The result proved the following: (1) cutting edge length, cutting edge thickness and hammer thickness had a significant influence on the grinding effect and grinding power; (2) a total of 22 optimal solution sets were obtained, based on which the blade hammer with a cutting edge length of 45 mm, a cutting edge thickness of 3 mm and a hammer thickness of 7 mm was finally selected in the bench test; (3) the bench test proved that the blade hammer was generally superior to the traditional rectangular hammer with the output per kilowatt-hour having been improved by 13.55% on average.