Arash is a Research Associate in the Department of Aeronautics and also a member of the Turbulence Simulation Group at Imperial College London. His expertise is in Computational Fluid Dynamics (CFD) and High Performance Computing (HPC). Arash's research, which is funded by the UK Turbulence Consortium (UKTC), mainly focuses on the development of CFD codes (using Xcompact3d and OpenSBLI frameworks) for the next generation HPC architectures and particularly advanced Graphics Processing Units (GPUs) capable of exascale performance.
Arash has a degree in Mechanical Engineering (Thermofluids) and an MSc in Automotive Engineering with a dissertation on the application of Machine Learning (ML) to predict performance and emission characteristics of Internal Combustion (IC) engines. He received his PhD in Mechanical Engineering (Computational Thermofluids) from University College London (UCL) where he developed computational tools using various CFD frameworks, including OpenFOAM, to study fuel injection, fuel-air mixture formation and combustion in gaseous-fuelled propulsion systems (mainly hydrogen engines). He also conducted postdoctoral research on modelling flash-boiling liquid fuel sprays at UCL. In 2016 he joined the Department of Mechanical Engineering at Imperial College London to continue his research mainly on modelling flash-boiling and supercritical fuel sprays and jets. In 2018 he joined the Department of Civil and Environmental Engineering at Imperial College London and the Novel Reservoir Modelling and Simulation (NORMS) group to undertake research into the development of numerical techniques and CFD codes within the IC-FERST framework for modelling flow and transport in complex porous media with application mainly to groundwater contamination and subsurface reservoir studies.
et al., 2020, Numerical simulations of the effect of cold fuel temperature on in-nozzle flow and cavitation using a model injector geometry, Sae Technical Papers, ISSN:0148-7191
et al., 2020, On the performance of WENO/TENO schemes to resolve turbulence in DNS/LES of high-speed compressible flows, International Journal for Numerical Methods in Fluids, ISSN:0271-2091
et al., 2020, Numerical Modelling of Droplet Breakup for Flash-Boiling Fuel Spray Predictions, International Journal of Multiphase Flow, Vol:125, ISSN:0301-9322
Hamzehloo A, Aleiferis P, 2019, LES and RANS Modelling of Under-Expanded Jets with Application to Gaseous Fuel Direct Injection for Advanced Propulsion Systems, International Journal of Heat and Fluid Flow, Vol:76, ISSN:0142-727X, Pages:309-334
et al., Large Eddy Simulations of In-Nozzle Cavitation Phenomena for Cold Fuel Injection, ASME 2020 Power Conference