Intelligent Prediction of Sieving Efficiency in Vibrating Screens

Abstract

In order to effectively predict the sieving efficiency of a vibrating screen, experiments to investigate the sieving efficiency were carried out. Relation between sieving efficiency and other working parameters in a vibrating screen such as mesh aperture size, screen length, inclination angle, vibration amplitude, and vibration frequency was analyzed. Based on the experiments, least square support vector machine (LS-SVM) was established to predict the sieving efficiency, and adaptive genetic algorithm and cross-validation algorithm were used to optimize the parameters in LS-SVM. By the examination of testing points, the prediction performance of least square support vector machine is better than that of the existing formula and neural network, and its average relative error is only 4.2%.

Influence of the Selected Sieving Parameters on the Sieving Efficiency of Material MCC Avicel PH102

“…or by summing up these recoveries [21,27,30], then the total classification efficiency can be written as:…”

“…The first group includes the properties of the raw material, such as particle size distribution [12,15], particle shape [5,11,20], moisture content [1,8]. Factors that depend on the design of the equipment used belong to a second group, and includes the shape and size of the screen openings [5,8,11,12,20,26,27], type and material [5,8], screen inclination angle [2,4,6,11,14,21,26,27], vibration mode (linear, circular, elliptical) [2,7], direction [4,6,14,19,22], vibration amplitude [2,11,14,19,21,27] and frequency [2,4,6,11,14,19,22,27]. The third group includes factors that characterise the sieving/screening process itself, such as mass flow (in the case of a continuous process) or the amount of material fed in (in the case of a batch process)…”

Trajectory Control for Vibrating Screen with Magnetorheological Dampers

“…Various constructions of vibrating screens and the tuning of their technological parameters are discussed in [7][8][9][10][11]. The resonance regime is desirable; however, its control is complicated due to vulnerability of the sieving process to changes in bulk material thickness, particle distribution over the deck and their physical properties [12,13]. Moreover, resonance frequencies can be harmful for screen construction.…”

Impact of key parameters on the iron ore pellets roller screening performance

“…Goncharenko et al [7] evaluated the performance of the vibrating screen versus the roller screen in an industrial unit, proving the benefits of reduction on recirculating loads to the drums by 10-20%, better pellets homogeneity, reduction of fines particles by 0.8-1.2%, inexistence of pellets build-up due to the high moisture level (normally closing the vibrating screens grate meshes), and finally, a possible increase of production by up to 50%, etc. Akbar and Vahid [8], Zhang et al [9] and Wang and Tong [10] have directed intensive studies of vibrating screen performance depending on different variables, showing screening efficiency levels varying between 5% and 75%, according to the variables applied in vibrating screen and the material processed in the machine.…”