Effect of Flow Characteristics on Taylor Flow Heat Transfer

2011 ◽  
Vol 51 (4) ◽  
pp. 2010-2020 ◽  
Author(s):  
Sharon S.Y. Leung ◽  
Raghvendra Gupta ◽  
David F. Fletcher ◽  
Brian S. Haynes
2019 ◽  
Vol 113 ◽  
pp. 109220 ◽  
Author(s):  
Chidanand K. Mangrulkar ◽  
Ashwinkumar S. Dhoble ◽  
Sunil Chamoli ◽  
Ashutosh Gupta ◽  
Vipin B. Gawande

Author(s):  
Jingzhi Zhang ◽  
Wei Li

Heat transfer and flow characteristics of Taylor flow in micro capillary tubes have been investigated numerically with the Volume of Fluid (VOF) method. A constant heat flux (32kwm−2) is adopted at the tube wall. All seven computational cases have the same Reynolds number (Re=280), Capillary number (Ca=0.006) and homogenous void fraction (β=0.51), while the inlet gas volume fraction varies from 0.2 to 0.8. The results indicate that liquid slug length (Ll), gas slug length (Lg) and cell length (Lc) vary with α, while liquid film thickness δ remains constant. The friction factor f of Taylor flow is higher than single phase flow. The simulation results agree well with the correlation proposed by Kreutzer et al.. The Local Nusselt number (Nux) gets its peak value at the liquid film region, where the temperature difference between wall temperature (Tw) and fluid bulk temperature (Tbx) is smallest. The average Nu (Nuav) is about 2.8 times of single phase. This means that Taylor bubble can enhance the heat transfer coefficient in micro capillary tubes.


2018 ◽  
Vol 140 (8) ◽  
Author(s):  
Jingzhi Zhang ◽  
Wei Li

Heat transfer and flow characteristics of Taylor flows in vertical capillaries with tube diameters ranging from 0.5 mm to 2 mm were studied numerically with the volume of fluid (VOF) method. Streamlines, bubble shapes, pressure drops, and heat transfer characteristics of the fully developed gas–liquid Taylor flow were investigated in detail. The numerical data fitted well with experimental results and with the predicted values of empirical correlations. The results indicate that the dimensionless liquid film thickness and bubble rising velocity increase with increasing capillary number. Pressure drops in liquid slug region are higher than the single-phase flow because of the Laplace pressure drop. The flow pattern dependent model and modified flow separation model which takes Bond number and Reynolds number into account can predict the numerical pressure drops well. Compared with the single-phase flow, less time is needed for the Taylor flow to reach a thermal fully developed status. The Nusselt number of Taylor flow is about 1.16–3.5 times of the fully developed single-phase flow with a constant wall heat flux. The recirculation regions in the liquid and gas slugs can enhance the heat transfer coefficient and accelerate the development of the thermal boundary layer.


Author(s):  
A K Satapathy

This article deals with an analytical solution of slip-flow heat transfer for laminar and two-dimensional gaseous flow in a semi-infinite microchannel. To account for the slip-flow characteristics of microscale heat transfer, temperature jump conditions at the wall have been considered while the fluid velocity is assumed to be constant. Analytical expressions for fully developed Nusselt numbers have been derived in terms of the Knudsen number and Peclet number for both isothermal and isoflux wall conditions.


Author(s):  
Jingzhi Zhang ◽  
Wei Li

Heat transfer and flow characteristics of Taylor flow in vertical capillaries with tube diameters ranging from 0.5 mm to 2 mm have been investigated numerically with the Volume of Fluid (VOF) method. Streamlines, bubble shapes, pressure drops, and heat transfer characteristics of Taylor flow were investigated in detail. The results indicate that the dimensionless bubble length increases with increasing Re, while the variation of diameters have slight influence on it. A flat tail and sharper nose bubble with longer bubble length and thicker film thickness are obtained at higher Re for the increasing inertia force. Pressure drops in liquid slug region are higher than single phase flow because of the Laplace pressure drop. The flow pattern dependent model and modified separate model in this work can predict the simulation data well with a MAE of 2.416% and 2.289%, respectively. Bo and Re are adopted in the modified separate model to taking surface tension, gravity, inertia, and viscous force into account. The wall temperature Tw increases along X axis in liquid region, and gets its peak at the tail of Taylor bubble region. Nutp, which is about 1.2∼3 times of fully developed single phase flow with constant wall heat flux, is negatively proportional to the dimensionless liquid slug length (Ls*). Taylor flow can enhance the heat transfer efficiently.


Meccanica ◽  
2021 ◽  
Author(s):  
Ali Ahmadpour ◽  
Ehsan Amani ◽  
Alireza Mashayekhi ◽  
Mehran Soleimani

Author(s):  
Zunlong Jin ◽  
Qiqi Sun ◽  
Dingbiao Wang ◽  
Yongqing Wang

Abstract Heat transfer and flow characteristics under air-water Taylor flow in a square microchannel with T-junction were investigated in this work. Different hydraulic diameters of models were discussed numerically by VOF method. Flow patterns such as bubbly flow, slug flow, annular flow and churn flow were identified by both numerical simulation and experimental methods. Simulation results including bubble formation process, bubble length, bubble velocity, void fraction and heat transfer fit well with literature data. The pressure differential of two sides in gas phase played an important role in bubble development. The gas and liquid superficial velocities were found to have a significant impact on bubble behavior. And the higher liquid viscosity would promote higher bubble velocity, also enhance heat transfer, but weaken the void fraction. The results showed a tiny but not ignorable effect of geometric dimensioning on bubble and liquid slug lengths. An appropriate correlation was proposed to estimate bubble length, and the deviation was −10 ~ + 15 %. By using moving frame of reference technique, the internal circulations inside the moving slugs were displayed more clearly.


2015 ◽  
Vol 138 ◽  
pp. 140-152 ◽  
Author(s):  
Zhenhui Dai ◽  
Zhenyi Guo ◽  
David F. Fletcher ◽  
Brian S. Haynes
Keyword(s):  

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