Modeling of cone crusher steady-state operation modes

Abstract The design of complex technological processes control systems involves several stages. One of the first is to analyze the steady-state operation modes of the control plant. Ore crushing is one of the most critical processes in mineral processing. The quality of its control determines the level of power consumption not only at this stage of mineral processing, but also at the subsequent ones, especially the grinding processes, which are the most energy-intensive in the entire production. The size and homogeneity of crushed ore significantly affect the power consumption of the mills. Ore is crushed by cone crushers. The crushing process is characterized by a large number of parameters. Depending on the control purpose, any of them can be considered as an input, output or disturbance. As a result, a cone crusher as a control plant is a multi-input multi-output system. The relationships between inputs and outputs are very complex, so it is very important to have an adequate mathematical description of cone crusher steady-state for its quality control. In this article, it has identified second-order polynomials regression models for the dependencies between the most significant parameters for a typical cone crusher with a mantle width 2200 mm. Namely, the dependence of the crusher electric drive power on the closed-side setting and feed capacity; the percentage of the control particle size class in the product on the closed-side setting and product capacity; product capacity on the closed-side setting, lining wear on the product capacity. The least squares method was used to estimate the parameters of the regression models.