Armin Bodaghkhani

Project Description

Our research is focused on prediction and simulation of multiple air bubble plumes arising in unstratified fluid in a deep water. We will use experimental and numerical techniques to measure and predict several charachteristics of the flow, which will be used by our inductry partner to assess the current behavior of aerators and then improve upon their novel conceptual design. There is also potential for significant environmental benefits as fish farm aerators are powered by diesel generators, and optimization of the aerators will result in reduced consumption of diesel fuel.

Research Classification

Research Interests

Multiphase flow
Computational Fluid Mechanics (CFD)

Research Methodology

Particle Image Velocimetry
Bubble Image Velocimetry
Numerical/Computational Analysis
Laser Doppler Velocimetry


Faculty of Applied Science