109. Optimization of Performance Parameters of High Pressure Grinding Rolls

In order to improve grinding effect of high pressure grinding rolls (HPGR), it is needed to optimize its performance parameters. According to nonlinear mapping function of artificial neural network and global optimal value search function of genetic algorithm (GA), this chapter, first, setted up the mathematical relationship between the given product size-reduction percentage M and performance parameters, such as working pressure P, roll speed V and original rolls gap S based on back propagation (BP) neural network, then, searched optimal performance parameters by GA. The result shows that using BP neural network with GA to optimize performance parameters of HPGR is accurate, fast and effective, which provides a novel approach for the selection of performance parameters.