Imperial College London

Dr Arash Hamzehloo

Faculty of EngineeringDepartment of Aeronautics

Research Associate
 
 
 
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Contact

 

a.hamzehloo Website

 
 
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Location

 

141City and Guilds BuildingSouth Kensington Campus

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Summary

 

Overview

Arash's main research interests are in the area of Computational Fluid Dynamics (CFD) and High Performance Computing (HPC). Specifically developing mathematical models and CFD codes to study:

  • Compressible flows (gas dynamics)
  • Turbulent flows and turbulence modelling 
  • Multiphase flows and phase change
  • Aerodynamics (subsonic to hypersonic)
  • Combustion and reacting flows
  • Flow through porous media
  • Advanced propulsion systems
  • Hydrogen-based energy systems  

Arash is also interested in Machine Learning (ML) techniques and particularly Deep Neural Networks (DNNs) for engineering and CFD applications.


Large eddy simulation (LES) of an under-expanded hydrogen jet with nozzle pressure ratio (NPR) of 10.

Supercritical

Supercritical injection modelling: density field of supercritical nitrogen at 136 K injected into a nitrogen filled ambient at 300 K and ~40 bar (LES with OpenFOAM and with real fluid equation of state and transport properties). 


Under-ExpandedLES of an under-expanded air jet with NPR=4.2. 


Double WedgeDensity gradient of a Mach 7 air flow over a double wedge (OpenFOAM with fourth-order Runge-Kutta temporal discretization).


Ahmed BodyFlow around a bluff body with an incoming velocity of 60 m/s.  Velocity vector visualisation with line integral convolution.