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Dynamic evolution of PSD in continuous flow processes: A comparative study of fixed and moving grid numerical techniques

机译:连续流动过程中PSD的动态演变:固定和移动网格数值技术的比较研究

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The present study provides a comprehensive investigation on the numerical solution of the dynamic population balance equation (PBE) in continuous flow processes. Specifically, continuous particulate processes undergoing particle aggregation and/or growth are examined. The dynamic PBE is numerically solved in both the continuous and its equivalent discrete form using the Galerkin on finite elements method (GFEM) and the moving grid technique (MGT) of Kumar and Ramkrishna [1997. Chemical Engineering Science 52, 4659-46791, respectively. Numerical simulations are carried out over a wide range of variation of particle aggregation and growth rates till the dynamic solution has reached its final steady-state value. The performance of the two numerical methods is assessed by a direct comparison of the calculated particle size distributions and/or their moments to available steady-state analytical solutions. (c) 2005 Elsevier Ltd. All rights reserved.
机译:本研究对连续流过程中动态种群平衡方程(PBE)的数值解提供了全面的研究。具体地,检查经历颗粒聚集和/或生长的连续颗粒过程。动态有限元法可以用有限元伽勒金法(GFEM)以及库马尔和拉姆克里希纳[1997年的移动网格技术(MGT)]以连续和等效离散形式进行数值求解。化学工程科学52,4659-46791。在粒子聚集和生长速率的广泛变化范围内进行数值模拟,直到动态解达到其最终稳态值为止。通过将计算出的粒度分布和/或它们的矩与可用的稳态分析解决方案进行直接比较,可以评估这两种数值方法的性能。 (c)2005 Elsevier Ltd.保留所有权利。

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