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TFM方法预测粘性粉末流化的能力。

Capability of the TFM Approach to Predict Fluidization of Cohesive Powders.

作者信息

Askarishahi Maryam, Salehi Mohammad-Sadegh, Radl Stefan

机构信息

Research Center Pharmaceutical Engineering GmbH, Inffeldgasse 13/III, 8010 Graz, Austria.

Institute of Process and Particle Engineering, Graz University of Technology, Inffeldgasse 13/III, 8010 Graz, Austria.

出版信息

Ind Eng Chem Res. 2022 Mar 2;61(8):3186-3205. doi: 10.1021/acs.iecr.1c04786. Epub 2022 Feb 16.

Abstract

The fluidization behavior of cohesive particles was investigated using an Euler-Euler approach. To do so, a two-fluid model (TFM) platform was developed to account for the cohesivity of particles. Specifically, the kinetic theory of granular flow (KTGF) was modified based on the solid rheology developed by Gu et al. . The results of our simulations demonstrated that the modified TFM approach can successfully predict the formation of particle agglomerates and clusters in the fluidized bed, induced by the negative (tensile-dominant) pressure. The formation of such granules and clusters highly depended on the particle Bond number and the tensile pressure prefactor. To evaluate fluidization regimes, a set of simulations was conducted for a wide range of particle cohesivity (e.g., Bond number and tensile pressure prefactor) at two different fluidization numbers of 2 and 5. Our simulation results reveal the formation of four different regimes of fluidization for cohesive particles: (i) bubbling, (ii) bubbling-clustering, (iii) bubble-less fluidization, and (iv) stagnant bed. Comprehensive analysis of the shear-to-yield ratio reveals that the observed regime map is attributed to the competition between the shear stress and yield stress acting on the particles. The obtained regime map can be extended to incorporate the effect of dimensionless velocity and dimensionless diameter as a comprehensive fluidization chart for cohesive particles. Such fluidization charts can facilitate the design of fluidized beds by predicting the conditions under which the formation of particle agglomeration and clustering is likely in fluidized beds.

摘要

采用欧拉-欧拉方法研究了粘性颗粒的流化行为。为此,开发了一个双流体模型(TFM)平台来考虑颗粒的粘性。具体而言,基于Gu等人提出的固体流变学对颗粒流动力学理论(KTGF)进行了修正。我们的模拟结果表明,修正后的TFM方法能够成功预测流化床中由负压(拉伸主导)引起的颗粒团聚体和团簇的形成。这种颗粒和团簇的形成高度依赖于颗粒邦德数和拉伸压力系数。为了评估流化状态,在两个不同的流化数2和5下,针对广泛的颗粒粘性范围(例如,邦德数和拉伸压力系数)进行了一组模拟。我们的模拟结果揭示了粘性颗粒的四种不同流化状态的形成:(i)鼓泡,(ii)鼓泡-团聚,(iii)无泡流化,以及(iv)静止床。对剪切屈服比的综合分析表明,观察到的状态图归因于作用在颗粒上的剪切应力和屈服应力之间的竞争。所获得的状态图可以扩展,纳入无量纲速度和无量纲直径的影响,作为粘性颗粒的综合流化图。这样的流化图可以通过预测流化床中可能形成颗粒团聚和团簇的条件,促进流化床的设计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23f5/8895407/2873bf1b7107/ie1c04786_0002.jpg

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