|
Crushing and grinding work plays a very important position in the national economy . It is high energy consumption in this industry , consums about 10% to 15% of the global electricity consumption, however, the energy efficiency in grinding section is lower than the one in crushing. It is proved that energy efficiency can be increased by 30% or more through a proposed measure, which is‘more crushing less grinding’. And in order to achieve this goal, the viable and effective way is to design new crushers and mills.In this paper, a new model of vibration crusher, which was called‘vibration roll crusher’, was introduced by Professor Hou Shujun, who worked in Hebei University of Technology. The vibration roll crusher as a new type of vibrating crusher, with good granularity, high efficiency, wear, etc., is a kind of ultra-fine grinding equipment with energy-saving features.Firstly, the performance characteristics (such as productivity, product particle size distribution, etc.) of the prototype and its dynamics problems were investigated experimentally by analyzing the crushing process and vibrations of prototype. The phenomenon of double-lumen prototype asymmetric shocks, asymmetric double-lumen output, and particle size distribution asymmetry and so on was found. Based on the problems that found in prototype, a 6 degrees of freedom rigid body dynamics equations were established to analyze the dynamics features .Subsequently, the experiments of the visualization of granular material in crushing chamber was designed to analyze preliminarily the transmission mechanism in vibration crusher chamber.Finally, based on the rigid-bulk coupling mechanism, the model of the prototype in PFC3D was found, in order to simulate the crushing process and particles flow. The result, the simulated pressure distribution on the surface of two chambers, is useful for the chamber optimization. In order to deal with the‘particles flow stopping’problem, a chamber optimization precept was carried out. The simulation problems of the chamber found in simulation were summarized and optimized.
|