Multiple parameter collaborative optimization of a particle separation equipment for coal cleaning production

Vibrating screens represent an effective particle separation equipment for coal cleaning. During the screening process, critical particles block the screen holes, and affect the screening performance. Therefore, a vibrating screen with a higher inclination angle and larger screen pore has been proposed to prevent plugging of the screen surface. In this work, a screening model for the vibrating screen was established based on the discrete element method. The screening process was simulated, and the screening efficiency could be obtained. Through single factor tests, the influence of the amplitude (A), frequency (f), and vibration direction angle (beta) on the screening efficiency was analyzed. The results show that, upon increasing A, f, and beta, the screening efficiency first increases and then decreases. It was found that an improved screening effect can be achieved when A, f, and beta are 3-4 mm, 12-14 Hz, and 35-45 degrees, respectively. A mathematical model describing the effect of A, f, and beta on the screening efficiency was implemented based on the response surface methodology, and the degree of influence of each parameter on the screening efficiency resulted to be in the following order: A > f > beta. The highest screening efficiency (81.4%) was obtained under optimized conditions, with the relevant parameters being A = 3.7 mm, f = 13.4 Hz, and beta = 40.9 degrees. The results indicate that the optimization scheme is feasible and reliable.