Residence Time Distribution of Solid and Liquid Phase in a Stirred Tank Reactor

1992 ◽  
pp. 247-251
Author(s):  
L. Guo ◽  
S. Yang
Keyword(s):  
Liquid Phase ◽  
Residence Time ◽  
Time Distribution ◽  
Residence Time Distribution ◽  
Stirred Tank ◽  
Stirred Tank Reactor ◽  
Tank Reactor

Residence Time Distribution Determination of a Continuous Stirred Tank Reactor using Computational Fluid Dynamics and its Application on the Mathematical Modeling of Styrene Polymerization

2012 ◽  
Vol 10 (1) ◽  
Author(s):  
Ignacio L. Gamba ◽  
Santiago Marquez Damian ◽  
Diana A. Estenoz ◽  
Norberto Nigro ◽  
Mario A. Storti ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Residence Time ◽  
Time Distribution ◽  
Residence Time Distribution ◽  
Iterative Procedure ◽  
Stirred Tank ◽  
Styrene Polymerization ◽  
Tank Reactor

Abstract The continuous operation of a stirred tank reactor for styrene polymerization was modeled. The proposed approach consists of an iterative procedure between two modules that considers the fluid-dynamics and kinetics respectively. The kinetic module considers a complex kinetic mechanism and is used to predict the time evolution of global variables, such as conversion and species concentrations, physicochemical properties and molecular structure characteristics of the final product. In order to obtain a 3D representation of the flow field, the simulation of the hydrodynamics of the reactor was carried out with the aid of a commercial computational fluid dynamics (CFD) software package. Because CFD is capable to predict the complete velocity distribution in a tank, it provided a good alternative to carry out residence time distribution (RTD) studies. It was found that the stimulus-response tracer method is reasonably accurate to obtain a complete RTD compared to the particle tracking method. The obtained RTD results showed a good agreement when validated with experimental data and literature information.From the estimates of the kinetic module and the RTD predictions, a statistical calculus allows the determination of the average properties at the reactor outlet. The convergence of the iterative procedure was tested and reasonable predictions were achieved for an industrial reactor.

Liquid phase residence time distribution for gas–liquid flow in Kenics static mixer

2008 ◽  
Vol 47 (12) ◽  
pp. 2275-2280 ◽  
Author(s):  
Tirupati Reddy Keshav ◽  
P. Somaraju ◽  
K. Kalyan ◽  
A.K. Saroha ◽  
K.D.P. Nigam
Keyword(s):  
Liquid Phase ◽  
Residence Time ◽  
Liquid Flow ◽  
Time Distribution ◽  
Residence Time Distribution ◽  
Static Mixer ◽  
Gas Liquid Flow

scholarly journals Explicit Residence Time Distribution of a Generalised Cascade of Continuous Stirred Tank Reactors for a Description of Short Recirculation Time (Bypassing)

Processes ◽  
2019 ◽  
Vol 7 (9) ◽  
pp. 615 ◽  
Author(s):  
Peter Toson ◽  
Pankaj Doshi ◽  
Dalibor Jajcevic
Keyword(s):  
Residence Time ◽  
Time Distribution ◽  
Residence Time Distribution ◽  
Flow Reactor ◽  
Plug Flow ◽  
Stirred Tank ◽  
Stirred Tank Reactors ◽  
Delayed Impulse ◽  
In Series ◽  
Back Mixing

The tanks-in-series model (TIS) is a popular model to describe the residence time distribution (RTD) of non-ideal continuously stirred tank reactors (CSTRs) with limited back-mixing. In this work, the TIS model was generalised to a cascade of n CSTRs with non-integer non-negative n. The resulting model describes non-ideal back-mixing with n > 1. However, the most interesting feature of the n-CSTR model is the ability to describe short recirculation times (bypassing) with n < 1 without the need of complex reactor networks. The n-CSTR model is the only model that connects the three fundamental RTDs occurring in reactor modelling by variation of a single shape parameter n: The unit impulse at n→0, the exponential RTD of an ideal CSTR at n = 1, and the delayed impulse of an ideal plug flow reactor at n→∞. The n-CSTR model can be used as a stand-alone model or as part of a reactor network. The bypassing material fraction for the regime n < 1 was analysed. Finally, a Fourier analysis of the n-CSTR was performed to predict the ability of a unit operation to filter out upstream fluctuations and to model the response to upstream set point changes.

Sign in / Sign up

Export Citation Format

Share Document