Mechanistic Modeling of the Convective Heat Transfer Coefficient in Gas-Liquid Intermittent Flows

Abstract

The development of a mechanistic procedure to estimate the convection heat transfer in horizontal gas-liquid intermittent-or slug-flow is presented. In broad terms, the mean convective heat transfer coefficient is calculated following an averaging procedure based on the unit cell model of the slug flow pattern. The flow parameters (i.e., unit cell frequency, liquid slug and elongated bubble length and velocity, and liquid hold-up) were obtained from empirical data for air/water flows in a 15 m-long, 25.4 mm ID copper pipe and for natural gas (mostly methane and ethane) and oil or water flows in an actual size, 200 m-long, 150 mm ID steel pipe. A time-averaging procedure based on the unit cell parameters was then used to calculate the mean convective heat transfer coefficient. The slug flow parameters taken on the small scale air/water loop and the actual size pipeline were used for comparisons. Heat transfer data from the small scale air/water loop were used to validate the results calculated using the averaging procedure. Finally, the approach herein proposed also showed good agreement with previously published data and well-known correlations.

Measurements of horizontal three‐phase solid‐liquid‐gas slug flow: Influence of hydrate‐like particles on hydrodynamics

“…6 Efforts have been made on experimentally characterizing and modeling gas-liquid slug flow [7][8][9][10][11][12][13][14] and solid-liquid flow. 6 Efforts have been made on experimentally characterizing and modeling gas-liquid slug flow [7][8][9][10][11][12][13][14] and solid-liquid flow.…”

Local instantaneous heat transfer around a rising single Taylor bubble

“…The effect of Reynolds numbers and inclination on the heat transfer parameters was discussed. The mean convective heat transfer coefficient in horizontal slug flow was measured and calculated by Franca et al [7].…”

Recent Developments in Non-Boiling Two-Phase Flow Heat Transfer and Void Fraction in Various Pipe Inclinations

“…Equation (16), performed relatively well by predicting over 85% of the experimental data points to within ±30% for 0°, 2°, 5°, and 7°pipe orientations. Recently, Franca et al (2008) compared their mechanistic model developed for convective heat transfer in gas-liquid intermittent (slug) flows with the general heat transfer correlation proposed in this study. For void fraction, Franca et al (2008) used their own experimental data which was obtained for air-water flow in a 15 m long, 25.4 mm inside diameter copper pipe.…”

“…Air-water (θ = 0°) 160 data points 16 data points (Franca et al, 2008) Values of constant and exponents: C = 0.82, m = 0.08, n = 0.39, p = 0.03, q = 0.01, and r = 0.40. Air-water (θ = 0°) 160 data points 16 data points (Franca et al, 2008) Values of constant and exponents: C = 0.55, m = 0.1, n = 0.4, and p = q = r = 0.25.…”

“…Air-water (θ = 0°) 160 data points 16 data points (Franca et al, 2008) Values of constant and exponents: C = 0.55, m = 0.1, n = 0.4, and p = q = r = 0.25.…”