Prediction of Axial Dispersion in Plug-Flow Reactors Using a Simple Method
Prediction of Axial Dispersion in Plug-Flow Reactors Using a Simple Method
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DOI：
10.1080/01932691.2011.561159
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发表时间：
2012-01-01
影响因子：
2.2
通讯作者：
Bahadori, Alireza
中科院分区：
文献类型：
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作者：
Bahadori, Alireza
在大多数全尺寸活塞流反应器中，由于入口和出口流动扰动以及轴向扩散，流动通常是非理想的。轴向分散是指工艺流中流体元素在轴向方向上的返混和分子扩散的程度。在这篇文章中，一个分析解决方案是为活塞流反应器的分散数从完全混合（无限分散）到理想的活塞流反应器（零分散），以方便设计的处理过程，如稳定池和使用一阶去除动力学。已经尝试制定一个简单易用的方法，这是更容易比现有的方法，不太复杂，计算量少，准确和快速估计的流出物和流入物的浓度比在活塞流反应器（百分比剩余）作为活塞流分散因子（从零到无穷大），一阶反应常数和水力停留时间的函数。报告的数据和建议的相关性之间的平均绝对偏差被发现是小于1.8%，证明了所提出的工具的优异性能。在这项研究中开发的工具可以为工程师和科学家在各种条件下快速检查活塞流反应器中剩余的百分比具有巨大的实用价值。特别是，过程工程师会发现预测工具是用户友好的，具有不涉及复杂表达式的透明计算。
In most full-scale plug-flow reactors, the flow usually is nonideal because of entrance and exit flow disturbances and axial dispersion. Axial dispersion refers to the degree of back mixing and molecular diffusion of fluid elements in the process stream in the axial direction. In this article, an analytical solution is developed for plug flow reactors with dispersion numbers varying from complete-mix (infinity dispersion) to ideal plug-flow reactors (zero dispersion) to facilitate the design of treatment processes such as stabilization ponds and using first-order removal kinetics. An attempt has been made to formulate a simple-to-use method which is easier than existing approaches, less complicated with fewer computations, for accurate and rapid estimation of effluent and influent concentration ratios in plug flow reactor (percentage remaining) as a function of plug flow dispersion factor (from zero to infinity), first-order reaction constant and hydraulic detention time. The average absolute deviations between the reported data and the proposed correlations are found to be less than 1.8% demonstrating the excellent performance of proposed tool. The tool developed in this study can be of immense practical value for engineers and scientists to have a quick check on the percentage remaining in plug flow reactors at various conditions. In particular, process engineers would find the predictive tool to be user-friendly with transparent calculations involving no complex expressions.