Mathematical Modeling of the Process of Grinding Materials

IF 0.6 4区 工程技术 Q4 ENGINEERING, CHEMICAL Theoretical Foundations of Chemical Engineering Pub Date : 2025-03-17 DOI:10.1134/S0040579525600172
E. M. Koltsova, M. A. Babkin, N. A. Popova, A. V. Zhensa
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Abstract

Based on knowledge of thermodynamic flows and driving forces of the crushing process and the application of the principle of minimum entropy production a dependence for determining the size of particles resistant to crushing was obtained and verified using experimental results on grinding corundum in a planetary mill. To model the kinetics of grinding, an integrodifferential equation for the balance of the number of particles by linear dimensions was obtained, where the probability of particle crushing was determined from the physicochemical essence of the thermodynamic crushing flows. The results of calculating the density of the distribution function of the number of particles and the change in the average size of corundum particles during grinding over time are presented, which agree well with the experimental data. Optimal modes for carrying out the process of grinding corundum in a planetary mill to obtain particles of a given size have been found.

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物料磨削过程的数学建模
在了解破碎过程的热力学流动和驱动力的基础上,应用最小熵产生原理,得到了确定抗破碎颗粒粒度的关系式,并用行星磨机对刚玉的粉碎实验结果进行了验证。为了建立磨矿动力学模型,建立了基于线性维度的颗粒数平衡积分微分方程,其中颗粒破碎概率由热力学破碎流的物理化学本质决定。给出了刚玉颗粒数分布函数的密度和磨削过程中刚玉颗粒平均粒径随时间变化的计算结果,与实验数据吻合较好。找到了在行星磨机中进行刚玉研磨以获得给定粒度颗粒的最佳模式。
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来源期刊
CiteScore
1.20
自引率
25.00%
发文量
70
审稿时长
24 months
期刊介绍: Theoretical Foundations of Chemical Engineering is a comprehensive journal covering all aspects of theoretical and applied research in chemical engineering, including transport phenomena; surface phenomena; processes of mixture separation; theory and methods of chemical reactor design; combined processes and multifunctional reactors; hydromechanic, thermal, diffusion, and chemical processes and apparatus, membrane processes and reactors; biotechnology; dispersed systems; nanotechnologies; process intensification; information modeling and analysis; energy- and resource-saving processes; environmentally clean processes and technologies.
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