User talk:Seleken/sandbox

I am a determined, self-motivated and certified Project Planning and Project Management Professional with a background in Chemical and Process Engineering possessing expertise in Project Management, Planning, Scheduling, and Project Cost Control, tailored towards the Construction, Engineering, Manufacturing, and Oil & Gas industries. Advance user of Primavera P6, MS Project and SAP ERP.

PhD Research Topic: Numerical Simulation of Gas-Liquid Bubbly Flow

Bubbly flows play an important role in a wide variety of areas, such as in biomedical, environmental and industrial applications, as well as in a wide range of processes of relevance to the oil and gas industry. In terms of the latter, examples include gravity-driven bubbly flows in bubble columns and airlift reactors which exploit the bubbles' capability to generate turbulence and hence enhance mixing, as well as the gas-liquid two-phase and gas-liquid-solid three-phase flows encountered in product streams from reservoirs and in many processing operations. Mathematical models are of value in predicting the behaviour of such flows since the experimental investigation of all the flow characteristics and types of interest industrially would be prohibitively expensive.

The work entails a numerical predictive technique known as large eddy simulation (LES) was used to model the carrier (liquid) phase, and this was coupled to a Lagrangian particle tracking technique, as well as an Eulerian transport equation, in order to model the gas phase and hence bubbly flows in horizontal and vertical channel upward and downward flow configurations.

The research is intended to provide insights into the dynamics of turbulent bubbly flows, including assessments of the impact of factors such as void fraction, bubble-fluid interactions with turbulence, bubble-bubble and bubble-wall interactions. The numerical models produced are validated against experimental data available in literature. The investigation presented is a novel contribution and provides a comprehensive study of a next generation CFD approach for use in industry that can be employed to predict bubble-laden turbulent flows.

Engr. Kenneth Asiagbe (PhD) School of Chemical and Process Engineering University of Leeds LS2 9JT United Kingdom