In this paper, the dewatering and screening process of vibrating-dewatering screen is studied by the combination of simulation test and physical experiment. The simulation model of dewatering screening process is established by the method of computational fluid dynamics (CFD) and discrete element method (DEM). Subsequently, the screening efficiency and processing efficiency are defined as evaluating indexes for performance of dewatering and screening. Four parameters of amplitude, vibration frequency, vibrating direction angle and slope angle of screen surface are selected for single factor simulation test, and the variation of dewatering and screening performance under different parameters is obtained. Finally, the reliability of the simulation results is verified by the physical experiment platform, and significant factors affecting the evaluation index of the vibrating-dewatering screen parameters and the optimal parameter combination are obtained by orthogonal test.

A new composite vibrating mode is presented in this paper. Modeling and dynamic analysis are studied according to two‐degree‐of‐freedom systems theory. The effects of vibration parameters, including swing angle, swing frequency, vibrating direction angle, and translation frequency, on the screening efficiency were researched by means of experiment research over a new laboratory‐scale composite vibrating screen which is designed based on the new composite vibrating mode. The results are analysed in terms of curves and fitting equations. Compared to the translation mode and swing mode, the screening performance of the new composite vibrating mode, both in screening efficiency and in processing capacity, is significantly improved.

“Rock bed” mechanism and its formation were discussed in this article. Inspired by the bionic wear-resistant structure, the shape and parameters of an impact crusher chamber are optimized. Taking both crusher strength and crushing effect into consideration and using discrete element method, the parameters of the impact crusher chamber were properly optimized. By adjusting the major parameters and structures of the factors (rotor speed, angles of the first and second impact plates, shape of impact plate and blow bar material) influencing crushing effect, the orthogonal test with four three-level factors was conducted to find an optimal combination with the best crushing effect so as to optimize the impact crusher.

Study on the Performance of Ball Mill with Liner Structure based on DEM

In the vibrating screening operation, each area of the screen surface has a different screening environment, and the material layer thickness, target particle proportion and other parameters of each area are different, which limits the screening efficiency of a vibrating screen with a traditional screen surface. In this paper, a double-deck variable screen surface screening method is proposed to optimize the design of the double-deck screen surface. The relationship between the elements of the screening process, screening parameters and screening efficiency of a double-deck variable screen surface vibrating screen is investigated through DEM numerical simulation. Using the particle swarm algorithm to support the vector regression model for global optimization, the parameters of the double-deck variable screen surface vibrating screen further optimized to obtain screening parameters: screen area A screen hole edge length of 4.7 mm, screen area D screen hole edge length of 2.7 mm, screen area D screen surface inclination angle of 6.3°, amplitude 2.6 mm, vibration frequency of 22.2 Hz, vibration direction angle of 35°, and through the experimental prototype for physical experimental verification.

A cone crusher is a machine that crushes rock materials with high efficiency and low power consumption; it is one of the typical road construction equipment. To improve the production efficiency, mechanical performance, and crushing performance of the cone crusher, thus increasing profit, this study used Discrete element method (DEM) particle analysis software to optimize the structure of the moving cone, studied the crushing effect of the crusher, and carried out kinetics analyses. Based on DEM, the structure of the cone crusher cavity was analyzed and optimized. A Y51 cone crusher was selected as a representative example to study its moving cone structure. By analyzing the factors that affect the performance and efficiency of the crusher, the precession angle, base angle, shape, and rotational speed of the moving cone were optimized. Using the Genetic Algorithm-Support Vector machine method (GA-SVW), the optimal combination of parameters was determined, and the key parts of the crusher were thus optimized.