振荡流反应器的物料停留时间分布模型研究  

A Markov Chain Model for Residence Time Distribution in Baffled Tube Oscillatory Flow Reactor

作　　者：罗捷思[1] 曹兴岩[1] 王立强[1] 罗鹏[1] 

机构地区：[1]沈阳化工学院,辽宁沈阳110142

出　　处：《辽宁化工》2009年第2期87-90,126,共5页Liaoning Chemical Industry

摘　　要：提出了一个基于马尔柯夫链(Markov chains)的考虑腔室间返混的振荡流反应器物料停留时间分布模型。通过对在内径50 mm,长1.95 m的振荡流反应器进行的理想脉冲示踪试验数据的统计分析,给出了模型的唯一参数回流比R的经验计算公式。发现在试验条件下,存在一个与最小回流比R相对应的振荡条件。这振荡条件可表示为振荡流雷诺数(Reo)与净流雷诺数(Ren)的比值ζ,其范围为1.6<ζ<2.5。A proper residence time distribution（RTD） model is useful for the reason that it reflects the mixing properties of the reactor and facilitates fitting a reactor conversion model. A stochastic RTD model based on Markov chains for baffled tube oscillatory flow reactor was developed. The single model parameter, recycling ratio R, was expressed as the function of ζ, the ratio of escillatory flow Reynolds number（Reo） to net flow Reynolds number（ Ren）, by statistical analysis of perfect pulse tracer experiments data measured in a 50 mm diameter, 1.95m long baffled tube oscillatory flow reactor. The experiments were performed over a wide range of oscillatory conditions and net flow rates. Over the range of the experimental conditions studied,it was found that the range 1.6 〈 ζ 〈2.5 corresponded to the optimum RTD conditions, where recycling ratio R as well as baekmixing or equivalently axial dispersion were minimized.

关 键 词：停留时间分布 反应器 振荡流 马尔柯夫链 

分 类 号：TQ052[化学工程]