Breakage modeling of needle-shaped particles using the discrete element method

被引：0

作者：

Kumar R. ^{[1
]}

Ketterhagen W. ^{[2
]}

Sarkar A. ^{[2
]}

Curtis J. ^{[3
]}

Wassgren C. ^{[1
,4
]}

机构：

[1] School of Mechanical Engineering, Purdue University, West Lafayette, 47907-2088, IN

[2] Worldwide Research and Development, Pfizer Inc., Groton, 06340, CT

[3] College of Engineering, University of California at Davis, Davis, 95616-5294, CA

[4] Department of Industrial and Physical Pharmacy (by courtesy), Purdue University, West Lafayette, 47907-2091, IN

来源：

Chemical Engineering Science: X | 2019年 / 3卷

关键词：

Attrition; Breakage; DEM; Particle; PBM;

D O I：

10.1016/j.cesx.2019.100027

中图分类号：

学科分类号：

摘要：

This paper models the breakage of large aspect ratio particles in an attrition cell using discrete element method (DEM)and population balance (PB)models. The particles are modeled in DEM as sphero-cylinders. The stresses within each particle are calculated along the particle length using beam theory and the particle breaks into two parts if the stress exceeds a critical value. Thus, the size distribution changes with time within the DEM model. The DEM model is validated against previously published experimental data. The simulations demonstrate that particle breakage occurs primarily in front of the attrition cell blades, with the breakage rate decreasing as the particle sizes decrease. Increasing the particle elastic modulus, decreasing the particle yield strength, and increasing the attrition cell lid stress also increase the rate of breakage. Particles break most frequently at their center and the daughter size distribution normalized by the initial particle size is fit well with a Gaussian distribution. Parametric studies in which the initial particle size distribution varies demonstrate that the particle sizes approach a distribution that is independent of the initial state after a sufficient amount of work is done on the particle bed. A correlation for the specific breakage rate is developed from the DEM simulations and used within a PB model along with the daughter size distribution fit. The PB model also clearly shows that the particle size distribution becomes independent of the initial size distribution and after a sufficiently long time, is fit well with a log-normal distribution. © 2019 The Authors

引用

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