The Experimental Research Of Process's Optimization Based On Pulverizer Of Turbulence

Pulverizer of turbulence was researched in this thesis, by which several material's submicron superfine powder were prepared. The purpose of this assignment is to analyze the reasons effecting result by the experimental means and theory means. Based on these achievements, the working mechanism of the pulverizer of turbulence was analyzed, which will provide a theory support for parameters' optimization and structure's improvement.First, the up-to-date theory about jet mill and comminution technology were introduced in this thesis. The multivariate and multilevel crushing experiments based on uniform design were conducted, regarding several kinds of traditional Chinese medicine as experimental material. In the same time, optimizations effecting result were analyzed systematically, and then the optimal optimizations in the experiment were obtained. Experiments were performed to validate that the contribution of each factor to the result was distinct. The increasing of impeller's rotative speed and the working time's extension are major reasons that cause the powder's polymerization. When the mass of the experimental material is defined, every speed of impeller's rotative speed corresponds with a polymerization time. By the increasing of the impeller's rotative speed, the corresponding polymerization time descends. The author also analyzed the mechanism of superfine powder's polymerization.Second, the author has researched the mathematical models of jet mill carefully. And then the dynamics model based on chemical reaction rate and irreversible thermodynamic process were established. Meanwhile, the author also verified the two model by experiments, which showed that the dynamics model based on chemical reaction rate fitted the test data perfectly. So this model can be the theoretical basis for the further research. In order to study the motion law of particles inside the machine, the crushing and transmission model based on diffusion theory was established, which has made a theoretical basis for the multi-parameter and multi-objective optimization. In order to improve the machine's structure, a model based on similarity theory was established, which has brought up the research direction for the machine's enlargement design and application in the industry.