All Outputs (2)

Applications of Artificial Neural Network (ANN) method for performance prediction of the effect of a vertical 90° bend on an air-silicone oil flow (2017)
Journal Article
Ayegba, P., Abdulkadir, M., Hernandez-Perez, V., Lowndes, I., & Azzopardi, B. J. (in press). Applications of Artificial Neural Network (ANN) method for performance prediction of the effect of a vertical 90° bend on an air-silicone oil flow. Journal of the Taiwan Institute of Chemical Engineers, 74, https://doi.org/10.1016/j.jtice.2017.02.005

Knowledge of how the presence of a bend can change the flow patterns of a gas–liquid mixture is important for the design of multiphase flow systems, particularly to prevent burn-out and erosion–corrosion. Burn-out and erosion–corrosion both have seri... Read More about Applications of Artificial Neural Network (ANN) method for performance prediction of the effect of a vertical 90° bend on an air-silicone oil flow.

Numerical modelling of the rise of Taylor bubbles through a change in pipe diameter (2017)
Journal Article
Ambrose, S., Lowndes, I. S., Hargreaves, D., & Azzopardi, B. (2017). Numerical modelling of the rise of Taylor bubbles through a change in pipe diameter. Computers and Fluids, 148, https://doi.org/10.1016/j.compfluid.2017.01.023

The rise of Taylor bubbles through expansions in vertical pipes is modelled using Computational Fluid Dynamics. The predictions from the models are compared against existing experimental work and show good agreement, both quantitatively and qualitati... Read More about Numerical modelling of the rise of Taylor bubbles through a change in pipe diameter.