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CFD Simulation of Hydraulics of Sieve Trays with Gas Mal-Distribution
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Mahmood Reza Rahimi
Published/Copyright:
January 5, 2010
A transient three-dimensional, two-fluid computational fluid dynamics (CFD) model is developed in the Eulerian framework to predict the hydraulics of sieve trays, especially with gas maldistribution. For this purpose, an algorithm is developed to explain the hole-gas velocity and pressure drop terms along the liquid flow path length. An important modification to the previous CFD works is the use of variable, position dependent, gas superficial velocity for calculation of interphase drag term along the tray. The flow path length of tray was divided into a number of sections; gas-superficial velocity, hydraulic parameters and drag coefficient were obtained for each section. This modification has an important effect on the simulation results and causes faster convergence and better predictions of tray hydraulics. The results are in good agreement with experimental data. Model results obtained in this study have revealed that the effect of hydraulic gradient is significant for high liquid path length and may create non-uniform gas flow. This paper describes how the inlet flow maldistributions can be included in CFD simulation of sieve trays. The results of simulations with non-uniform gas velocity distributions are presented, and compared against experimental data from literature. The results are in good agreement with experimental data.
Published Online: 2010-1-5
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Keywords for this article
sieve tray;
CFD;
modeling;
gas mal-distribution;
pressure drop;
hydraulics
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- Optimization studies on Biosorption of Copper (II) by Crab Shell Using Response Surface Methodology(RSM)
- Simulation and Control of a Commercial Double Effect Evaporator: Tomato Juice
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- Adsorption of Crude Oil Using Meshed Groundnut Husk
- Revisiting Reaction-Diffusion Process in a Porous Catalyst: Improving the Adomian Solution
- Combining Design of Experiments Techniques, Connectionist Models, and Optimization for the Efficient Design of New Product Formulations
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