화학공학소재연구정보센터
International Journal of Multiphase Flow, Vol.106, 46-59, 2018
Interfacial area transport models for horizontal air-water bubbly flow in different pipe sizes
The current work seeks to develop the interfacial area transport models for horizontal bubbly flow applicable to various pipe sizes. A steady-state one-dimensional, one-group interfacial area transport equation (IATE) for horizontal adiabatic air-water bubbly flow is presented. The models discussed include: (a) frictional pressure drop prediction based on Lockhart-Martinelli approach; (b) drift-flux based closure relations for void-weighted bubble velocity and void fraction; (c) bubble interaction mechanisms; and (d) local void fraction reconstruction to calculate covariance parameters associated with asymmetric bubble distribution in horizontal bubbly flow. To develop these models, experiments are performed to establish local databases in bubbly flow using the four-sensor conductivity probe in horizontal test facilities with three different inner diameters (38.1 mm, 50.8 mm, and 101.6 mm). In total, 23 test conditions with superficial liquid and gas velocities in the ranges of 3.00-6.00 m/s and 0.08-1.00m/s, respectively, are employed in the current work. The range of void fraction for the established database is 0.017-0.193. It is demonstrated that, the void weighted bubbly velocity (<< v(g) >>), void fraction (), and frictional pressure loss can be predicted very well with an averaged percent difference of +/- 4.8%, 14.7%, and +/- 2.1%, respectively. The covariance parameters can be predicted generally within +/- 30% using the current approach for void fraction reconstruction. As a result, the IATE can predict the measured interfacial area concentration with an averaged percent difference of 15.9%, except for the test conditions with large bubbles generated as flow develops. Meanwhile, it is found that decreasing liquid velocity decreases the contributions to the total change of interfacial area concentration by random collision induced bubble coalescence, and turbulent impact induced bubble breakup. (C) 2018 Elsevier Ltd. All rights reserved. The current work seeks to develop the interfacial area transport models for horizontal bubbly flow applicable to various pipe sizes. A steady-state one-dimensional, one-group interfacial area transport equation (IATE) for horizontal adiabatic air-water bubbly flow is presented. The models discussed include: (a) frictional pressure drop prediction based on Lockhart-Martinelli approach; (b) drift-flux based closure relations for void-weighted bubble velocity and void fraction; (c) bubble interaction mechanisms; and (d) local void fraction reconstruction to calculate covariance parameters associated with asymmetric bubble distribution in horizontal bubbly flow. To develop these models, experiments are performed to establish local databases in bubbly flow using the four-sensor conductivity probe in horizontal test facilities with three different inner diameters (38.1 mm, 50.8 mm, and 101.6 mm). In total, 23 test conditions with superficial liquid and gas velocities in the ranges of 3.00-6.00 m/s and 0.08-1.00m/s, respectively, are employed in the current work. The range of void fraction for the established database is 0.017-0.193. It is demonstrated that, the void weighted bubbly velocity (<< v(g) >>), void fraction (), and frictional pressure loss can be predicted very well with an averaged percent difference of +/- 4.8%, 14.7%, and +/- 2.1%, respectively. The covariance parameters can be predicted generally within +/- 30% using the current approach for void fraction reconstruction. As a result, the IATE can predict the measured interfacial area concentration with an averaged percent difference of 15.9%, except for the test conditions with large bubbles generated as flow develops. Meanwhile, it is found that decreasing liquid velocity decreases the contributions to the total change of interfacial area concentration by random collision induced bubble coalescence, and turbulent impact induced bubble breakup. (C) 2018 Elsevier Ltd. All rights reserved.