Abstract
VOF and Eulerian model in the software of Fluent are separately used in two-dimensional simulation calculations for air bubbling in water by single hole. The simulation results are compared with experiment photos by high-speed camera, it’s obtained that gravity should be considered in using VOF model; at lower air speed, VOF model is more accurate to simulate the bubble formation, separation, upward motion and coalescence; the simulation results of Eulerian model have an obviously difference with the experimental ones at lower air speed, but it’s suitable to simulate bubbling process for air at higher speed.
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References
Li, G., Yang, X., Dai, G.: CFD simulation of gas liquid flow in bubble column with two-bubble phase population balance model. The Chinese Journal of Process Engineering 9(5), 833–840 (2009)
Wang, J., Wu, Z., Xiao, X., He, Y.: Determination of fire scenario in performance-based fire safety design. Fire Science and Technology 24(3), 274–278 (2005)
Song, Q., Wu, G., Jin, J., Lu, J., Zhang, K.: Experiment and numerical simulation of gas-liquid hydrodynam ics in a two-dimensional gas-liquid bubble column. Chemical Engineering(China) 36(12), 29–32 (2008)
Wang, X., Wu, Q., Sha, Z.-l.: Study of effect factors on accuracy in CFD transient simulation of gas-liquid bubble column. Journal of Tianjin University of Science & Technology 24(5), 22–26 (2009)
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© 2011 Springer-Verlag Berlin Heidelberg
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Zhang, L., Han, F., Gao, S. (2011). Numerical Simulations and Comparisons of Air Bubbling Process through Single Hole. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23753-9_59
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DOI: https://doi.org/10.1007/978-3-642-23753-9_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23752-2
Online ISBN: 978-3-642-23753-9
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