The methodology for assessing the energy efficiency of operating actions during the separation of organic contaminants of wax has been developed. Promising methods of separation of media with complex types of bonds are proposed. The dependences characterizing the energy efficiency of separating methods for the wax raw materials have been determined. Mathematical models are obtained in the form of quadratic polynomials characterizing the influence of design parameters on energy characteristics. The influence of the design parameters of the device and the technological properties of the exposed materials in the form of wax raw materials on the values of active and reactive power has been proved. It has been established that the most rational measure for increasing the energy characteristics of devices for separating wax raw materials is to optimize their design and technological parameters.
The paper presents a method to substantiate the technical and technological parameters of the device to sort corn cobs, which takes into account the biometric and physical-mechanical properties of the treated plant objects. The method of basic parameters substantiation involves determining the overall dimensions of the device, the geometric and technological parameters of the working bodies, as well as the energy for operation.
For transporting potatoes, it is proposed to equip the vehicle with elastic partitions. Elastic partitions are formed by tubes of elastic material and can rotate around the axis of the transverse partition. A model has been developed that allows one to take into account a large number of parameters of root crops, a vehicle body, elastic partitions, parameters of the unloading process, and also calculate the main indicators of the efficiency of unloading root crops. As a result of optimization, it has been found that the optimal length of the elastic tube is 1.58 m (when the height of the vehicle body is 1.60 m), the optimal coefficient of bending stiffness of the tube is 0.9 kN/m2. At the same time, the unloading time will be less than 11.5 s and the share of damaged root crops will be less than 4.0%.
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