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根据马家沟、株州两个选煤厂浮选机的工业性试验资料,本文研究了连续性煤泥浮选机的稳态数学模型。当泡沫过负荷现象存在时,线性回归方程与动力学方程的混合模型能较好地反映浮选精煤的产率特性。基于在具有泡沫过负荷的浮选槽中水的质量产率分布与精煤产率有密切的关系,文章提出了一个以水的分布为参考基础的数学模拟方法,即按照一选定的动力学方程来调整浮选槽中水的质量产率分布,并运用已建立的模型来预测浮选机的性能及其产品的特征。模拟研究表明,随着水的质量产率分布被调节到一个合适的范围,泡沫过负荷可得到改善,这将导致最终精煤产率的增加。因此,为了提高选煤厂的经济效益,应当对泡袜过负荷的问题引起重视,并设法予以解决。
According to the industrial test data of flotation machines at two coal preparation plants in Majiagou and Zhuzhou, this paper studies the steady-state mathematical model of continuous slime flotation machine. When the phenomenon of foam overload exists, the mixed model of linear regression equation and dynamic equation can well reflect the yield characteristics of flotation clean coal. Based on the close relationship between the mass yield distribution of water and the yield of clean coal in a flotation tank with foam overload, a mathematical simulation method based on the distribution of water is proposed in this paper. According to a selected power Learn equation to adjust the mass production rate distribution of flotation tank, and use the established model to predict the performance of flotation machine and its product characteristics. Simulation studies have shown that as the mass productivity distribution of water is adjusted to a suitable range, the foam overload can be improved, leading to an increase in the final clean coal yield. Therefore, in order to improve the economic efficiency of coal preparation plant, it should pay attention to the problem of overload of socks and try to solve it.