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机构地区:[1]上海交通大学机械与动力工程学院,上海200240 [2]上海交通大学机械系统与振动国家重点实验室,上海200240
出 处:《上海交通大学学报》2009年第5期731-734,共4页Journal of Shanghai Jiaotong University
摘 要:结合圆锥破碎机的结构及工作原理,将粒度分布预测模型与表征粒形随粒度变化的经验公式相结合,建立了基于粒度分布的破碎产品针片率预测模型,实现了对于圆锥破碎机破碎产品针片率的求解;在对圆锥破碎机进行破碎腔分层及各破碎层粒度情况求解的基础上,建立了用于计算各破碎层排出物料针片率的计算模型;以PYB900型圆锥破碎机为例,依据其结构参数和工作参数等进行针片率预测,证明采取提高主轴转速、改进破碎机结构参数和增加破碎腔中破碎事件的发生几率(物料重复破碎次数)等措施,是改善破碎产品粒形的有效途径.Taking the working principle and structural character of cone crusher into account and combining the empirical model for predicting particle shape with the size distribution model, a flakiness prediction model was proposed and the mess percentage of flakiness in the final product was calculated. With dividing the crushing chamber into crushing zone and calculating the size distribution of the discharge from each crushing zone, the model for calculating the mass percentage of the flakiness in the discharge of each crushing zone was presented, the analysis of the variation of the flakiness percentage in the process of crushing was achieved. Taking PYB900 cone crusher as an example, the flakiness index was predicted according to the structural and working parameters, which proves that enhancing the probability of particles getting crushed with increasing the speed of basic shaft rotation and improving the structural parameters is an available way to improve the product shape.
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