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Compression behavior of microcrystalline cellulose spheres: Single particle compression and confined bulk compression across regimes
Powder Technology ( IF 5.2 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.powtec.2020.06.089
Marcia A. Cooper , Michael S. Oliver , Daniel C. Bufford , Benjamin C. White , Jeremy B. Lechman

Abstract Particle characteristics can drastically influence the process-structure-property-performance aspects of granular materials in compression. We aim to computationally simulate the mechanical processes of stress redistribution in compacts including the kinematics of particle rearrangement during densification and particle deformation leading to fragmentation. Confined compression experiments are conducted with three sets of commercial microcrystalline cellulose particles nearly spherical in shape with different mean particle size. Experimentally measured compression curves from tall powder columns are fitted with the Kenkre et al. (J. of American Chemical Society, Vol. 79, No. 12) model. This model provides a basis to derive several common two-parameter literature models and as a framework to incorporate statistical representations of critical particle behaviors. We focus on the low-stress compression data and the model comparisons typically not discussed in the literature. Additional single particle compressions report fracture strength with particle size for comparison to the apparent particle strength extracted from bulk compression data.

中文翻译:

微晶纤维素球体的压缩行为:单粒子压缩和限制体积压缩跨区域

摘要 颗粒特性可以极大地影响颗粒材料在压缩过程中的工艺-结构-性能-性能方面。我们的目标是通过计算模拟压块中应力重新分布的机械过程,包括致密化过程中颗粒重排的运动学和导致破碎的颗粒变形。有限压缩实验是用三组商业微晶纤维素颗粒进行的,这些颗粒几乎呈球形,具有不同的平均粒径。来自高粉柱的实验测量的压缩曲线符合 Kenkre 等人的要求。(J. of American Chemical Society, Vol. 79, No. 12) 模型。该模型为推导出几个常见的双参数文献模型提供了基础,并作为结合临界粒子行为的统计表示的框架。我们专注于低应力压缩数据和文献中通常未讨论的模型比较。额外的单粒子压缩报告了断裂强度和粒度,以便与从整体压缩数据中提取的表观粒子强度进行比较。
更新日期:2020-09-01
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