Experimental and computational fluid dynamics modeling of double‐partition divided‐wall column for flow hydrodynamics and wall heat transfer characteristics

The aim of this study is to investigate the flow hydrodynamics and wall heat transfer characteristics on the tray of a two‐staggered walled region in a double‐partition divided‐wall column (DPDWC). An experimental setup of DPDWC is designed, and a theoretical temperature gradient (TG) model based on...

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Vydáno v:AIChE journal Ročník 68; číslo 11
Hlavní autoři: Shen, Yichao, Zhang, Tao, Pan, Hui, Ling, Hao
Médium: Journal Article
Jazyk:angličtina
Vydáno: Hoboken, USA John Wiley & Sons, Inc 01.11.2022
American Institute of Chemical Engineers
Témata:
Boundary conditions
Computational fluid dynamics
Computer applications
double partition divided‐wall column
flow hydrodynamics
Fluid dynamics
Fluid flow
Fourier's equation
Heat transfer
Hydrodynamics
Liquid phases
Phase velocity
Temperature gradients
Velocity
wall heat transfer
ISSN:0001-1541, 1547-5905
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Popis
Shrnutí:The aim of this study is to investigate the flow hydrodynamics and wall heat transfer characteristics on the tray of a two‐staggered walled region in a double‐partition divided‐wall column (DPDWC). An experimental setup of DPDWC is designed, and a theoretical temperature gradient (TG) model based on Fourier's equation, which describes the wall heat transfer, is proposed. A coupled computational fluid dynamics‐TG model is developed to analyze the heat transfer characteristics across partitions of DPDWC. The effects of liquid velocity, gas velocity, and different wall thermal boundary conditions on the flow and temperature fields are studied. The results indicate that the lack of a gas cone near partitions led to few vertical backflows of the liquid phase on the tray. Furthermore, the TGs near the liquid phase outlet increased with an increase in the liquid phase velocity. This work provides a scope for design and operation of DPDWC for industrial implementation.
Bibliografie:Funding information
National Natural Science Foundation of China, Grant/Award Number: 21908056; Science and Technology Commission of Shanghai Municipality, Grant/Award Number: 19DZ2271100; Shanghai Sailing Program, Grant/Award Number: 19YF1410800
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content type line 14
ISSN:0001-1541
1547-5905
DOI:10.1002/aic.17840