停留时间分布
示踪剂
混合(物理)
计算流体力学
色散(光学)
机械
流量(数学)
分布(数学)
停留时间(流体动力学)
流体力学
模拟
计算机科学
数学
工程类
物理
数学分析
光学
量子力学
岩土工程
核物理学
标识
DOI:10.1016/j.ces.2020.116188
摘要
Abstract Residence Time Distribution (RTD) theory is revisited and tracer technology discussed. The background of RTD following Danckwerts ideas is presented by introducing “distribution” functions for residence time, internal age and intensity function and how to experimentally obtain them with tracer techniques (curves C and F of Danckwerts). Compartment models to describe fluid flow in real reactors are reviewed and progressive modeling of chromatographic processes discussed in some detail. The shortcomings of Standard Dispersion Model (SDM) are addressed, the Taylor-Aris model discussed and the Wave Model of Westerterp’s group introduced. The contribution of Computational Fluid Dynamics (CFD) is highlighted to calculate RTD from momentum and mass transport equations and to access spatial age distribution and degree of mixing. Finally smart RTD and future challenges are discussed.
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