基于产品质量预测机制的圆锥破碎机性能优化
发布时间：2018-08-31 09:37
【摘要】：破碎产品质量是评价圆锥破碎机工作性能的重要技术指标。基于层压破碎理论,采用现代优化技术,建立圆锥破碎机产品产量,破碎产品粒度及粒形的多目标规划模型,对破碎产品质量进行优化,为开发新型高效圆锥破碎机奠定基础。基于散体物料运动学及动力学特性,建立圆锥破碎机产品产量模型,对影响破碎机产品产量的关键工艺参数进行研究,建立产品产量与各工艺参数关系模型。结合散体物料破碎矩阵模型,建立破碎腔内散体物料层压破碎过程操作模型。通过压力机对铁矿石散体物料层压破碎过程进行深入研究,对实验数据进行统计回归分析,建立圆锥破碎机层压破碎过程粒度、粒形的选择函数及破碎函数模型,建立基于粒度分布的针片率预测模型,为对产品粒度、粒形的计算分析提供理论依据。以实际物理样机为算例,对破碎机破碎产品粒度及针片率分布进行深入研究,建立破碎产品粒度及针片率与与各关键工艺参数的关系模型,对各关键因素进行定性的分析。基于圆锥破碎机工作机理及工艺性能研究,建立圆锥破碎机产品产量,破碎产品粒度及针片率预测模型的多目标规划模型。以实际物理样机为算例,基于遗传算法,对多目标规划模型进行优化,优化结果显示,通过调控关键工艺参数,可实现在圆锥破碎机产品产量水平大幅提高的前提下,破碎产品粒度及针片率水平有较明显的改善。
[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.
【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD451
本文编号：2214597
[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.
【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD451
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