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首页> 外文期刊>The Journal of Supercritical Fluids >Mathematical modeling to predict the size and nucleation rate of micro and nanoparticles using the scale-up process with supercritical CO2
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Mathematical modeling to predict the size and nucleation rate of micro and nanoparticles using the scale-up process with supercritical CO2

机译:使用超临界CO2的扩展过程预测微型和纳米粒子的大小和成核速率的数学模型

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摘要

This paper presents a mathematical methodology capable of predicting the size and nucleation rate of micro and nano particles using the curtet number as a proposal for increasing the scale in laboratory processes. Using a computational model of fluid dynamics, which takes into account the hydrodynamic behavior of the flow and the dispersion of the jet of organic solutions in pressurized carbon dioxide to the Supercritical Antisolvent (SAS) process, it is possible to accurately predict particle size and nucleation rate at different scales for different mixtures with varying operating conditions. In general, the proposal to increase the scale in processes involving the precipitation of micro and nanoparticles is very versatile and computationally efficient, since in addition to combining a computational fluid dynamics approach with population equilibrium, it solves its equations independently, negating excessive computational demand and guaranteeing a shorter simulation time. (C) 2019 Elsevier B.V. All rights reserved.
机译:本文介绍了一种能够预测微型线和纳米颗粒的尺寸和成核速率的数学方法,作为用于增加实验室过程中规模的提议。使用流体动力学的计算模型,这考虑了流动的流体动力学行为和有机溶液射流在加压二氧化碳中的射流分散到超临界抗溶剂(SAS)过程中,可以精确地预测粒度和成核用于不同混合物的不同尺度的速率,具有不同的操作条件。一般而言,增加涉及微型和纳米粒子沉淀的过程中规模的提议是非常通用和计算有效的,因为除了将计算流体动力学方法与种群平衡组合之外,它还独立解决了其方程,否定了过度计算需求和保证较短的模拟时间。 (c)2019年Elsevier B.V.保留所有权利。

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