【摘要】：破碎產(chǎn)品質(zhì)量是評價圓錐破碎機(jī)工作性能的重要技術(shù)指標(biāo)。基于層壓破碎理論,采用現(xiàn)代優(yōu)化技術(shù),建立圓錐破碎機(jī)產(chǎn)品產(chǎn)量,破碎產(chǎn)品粒度及粒形的多目標(biāo)規(guī)劃模型,對破碎產(chǎn)品質(zhì)量進(jìn)行優(yōu)化,為開發(fā)新型高效圓錐破碎機(jī)奠定基礎(chǔ)。基于散體物料運動學(xué)及動力學(xué)特性,建立圓錐破碎機(jī)產(chǎn)品產(chǎn)量模型,對影響破碎機(jī)產(chǎn)品產(chǎn)量的關(guān)鍵工藝參數(shù)進(jìn)行研究,建立產(chǎn)品產(chǎn)量與各工藝參數(shù)關(guān)系模型。結(jié)合散體物料破碎矩陣模型,建立破碎腔內(nèi)散體物料層壓破碎過程操作模型。通過壓力機(jī)對鐵礦石散體物料層壓破碎過程進(jìn)行深入研究,對實驗數(shù)據(jù)進(jìn)行統(tǒng)計回歸分析,建立圓錐破碎機(jī)層壓破碎過程粒度、粒形的選擇函數(shù)及破碎函數(shù)模型,建立基于粒度分布的針片率預(yù)測模型,為對產(chǎn)品粒度、粒形的計算分析提供理論依據(jù)。以實際物理樣機(jī)為算例,對破碎機(jī)破碎產(chǎn)品粒度及針片率分布進(jìn)行深入研究,建立破碎產(chǎn)品粒度及針片率與與各關(guān)鍵工藝參數(shù)的關(guān)系模型,對各關(guān)鍵因素進(jìn)行定性的分析�；趫A錐破碎機(jī)工作機(jī)理及工藝性能研究,建立圓錐破碎機(jī)產(chǎn)品產(chǎn)量,破碎產(chǎn)品粒度及針片率預(yù)測模型的多目標(biāo)規(guī)劃模型。以實際物理樣機(jī)為算例,基于遺傳算法,對多目標(biāo)規(guī)劃模型進(jìn)行優(yōu)化,優(yōu)化結(jié)果顯示,通過調(diào)控關(guān)鍵工藝參數(shù),可實現(xiàn)在圓錐破碎機(jī)產(chǎn)品產(chǎn)量水平大幅提高的前提下,破碎產(chǎn)品粒度及針片率水平有較明顯的改善。
[Abstract]:The quality of crushing products is an important technical index to evaluate the working performance of cone crusher. Based on laminated crushing theory and modern optimization technology, a multi-objective programming model for product output, particle size and shape of cone crusher is established. The quality of broken products is optimized, which lays a foundation for the development of a new type of high-efficient cone crusher. Based on the kinematic and dynamic characteristics of bulk materials, the production model of conical crusher was established. The key process parameters affecting the output of crusher were studied, and the relationship model between product output and various process parameters was established. Combined with the matrix model of bulk material breakage, the operating model of laminated crushing process of bulk material in crushing cavity was established. The process of laminated crushing of iron ore bulk material was studied by press, and the statistical regression analysis of experimental data was carried out, and the particle size, particle shape selection function and crushing function model of cone crusher were established. A needle rate prediction model based on particle size distribution is established, which provides a theoretical basis for the calculation and analysis of product granularity and particle shape. Taking the actual physical prototype as an example, the particle size and needle rate distribution of crushing products of crusher are studied in depth, and the relationship model between the particle size and needle rate of crushing products and the key technological parameters is established, and the key factors are qualitatively analyzed. Based on the research of working mechanism and technological performance of cone crusher, a multi-objective programming model for predicting product output, particle size and needle rate of cone crusher is established. Taking the actual physical prototype as an example, the multi-objective programming model is optimized based on genetic algorithm. The optimization results show that the production level of cone crusher can be greatly improved by adjusting and controlling the key process parameters. The particle size and needle rate of broken products were improved obviously.
【學(xué)位授予單位】：燕山大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TD451

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