圓錐破碎機(jī)結(jié)構(gòu)性能參數(shù)優(yōu)化設(shè)計(jì)
[Abstract]:Cone crusher is one of the large equipment in concentrator. It not only plays an important role in mineral processing, but also is widely used in metallurgical mine industry and building material industry. In recent years, with the introduction of the theory of "multi-crushing and less grinding" and the increase of ore volume, the existing cone crushers can no longer fully meet the needs of social production. Therefore, the structure parameters and performance parameters of the cone crusher are optimized and calculated in this paper. The working performance and productivity of the cone crusher are improved, and the quality of the crusher is improved. Based on the theory of laminate crushing, the working mechanism of cone crusher is deeply studied in this paper. Based on the kinematic characteristics of bulk materials, three kinds of motion states of bulk materials in the crushing chamber are analyzed. On the premise of the critical velocity of the free falling body moving through the broken cavity, the broken cavities are divided into layers, and the area method is used. The actual compression ratios of each broken layer are obtained. Based on the principle of fixed mass, the relationship between material filling degree and compression ratio in the clogging layer is established by studying the movement trajectory of bulk material in the crushing chamber and the delamination of the crushing cavity, and the productivity model of the cone crusher is improved. The calculation precision of productivity model is improved, and the feasibility and reliability of the model are verified by a cone crusher. Based on the general equilibrium model, the selection function model and the breaking function model are established. Through the rock press simulation laminar crushing experiment, the experimental data are analyzed and processed, the corresponding selection function and crushing function are obtained, and the prediction and control of the particle size distribution of the broken product is realized. In this paper, the multi-objective optimization model of cone crusher is established with the productivity of crusher as the main objective and the particle size distribution of crusher as the nonlinear constraint condition. The effects of four design variables on productivity and particle size distribution of crushing products are studied. Through programming optimization, the productivity of crusher is improved on the premise of ensuring product quality.
【學(xué)位授予單位】:燕山大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類(lèi)號(hào)】:TD451
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