Arman Hemmati, PhD, PEng.

Associate Professor, Faculty of Engineering - Mechanical Engineering Dept
UA Engineering Research Chair in Emissions Reduction Technologies
Director, Alberta Computational Fluid Engineering Laboratory

Contact

Associate Professor, Faculty of Engineering - Mechanical Engineering Dept
Email
arman.hemmati@ualberta.ca
Phone
(780) 492-1672
Address
10-245 Donadeo Innovation Centre For Engineering
9211 116 St
Edmonton AB
T6G 2H5

UA Engineering Research Chair in Emissions Reduction Technologies
Email

Director, Alberta Computational Fluid Engineering Laboratory
Email

Overview

Area of Study / Keywords

Website: https://www.computealberta.com Fluid Mechanics Computational Fluid Dynamics (CFD) Turbulent Flows Turbulence Wakes Energy Systems Energy And Environment Renewable Energy Water Resources Aerodynamics And Aerospace


About

Education:

  • PDF in Mechanical & Aerospace Engineering Princeton University (2018)
  • PhD in Mechanical Engineering University of Calgary (2016)
  • B.Sc. in Mechanical Engineering University of Calgary (2011)

Research

My research focuses on both fundamental and applied topics in fluid mechanics and computational fluid dynamics (CFD). Specifically, I work on the following research areas:

  • Vortex Dynamics in Unsteady Wakes: i.e., Sharp-edge bluff bodies, Oscillating Panels & Airfoils
  • Bio-inspired Propulsors & Energy Harvesting Technologies
  • Turbulence modelling of unsteady and quasi-steady wakes: i.e., Non-Linear Eddy Viscosity Model
  •  Alternative Energy Systems: i.e., Wind, Solar and Geothermal Energy Extraction Technologies
  • Aerospace Technologies: i.e., Analytical Model of High-Temperature Vertical Boundary Layers, Magneto-Plasma-Dynamic Thrusters (MPDT)
  • Cardiovascular Flows



Teaching

Applied Computational Fluid Dynamics, Engineering Measurements, Finite Element Methods, Fluid Mechanics, Strength of Material, Solid Mechanics, Dynamics, Heat transfer

Courses

MEC E 539 - Applied Computational Fluid Dynamics

Model selection and simplification, grid generation and grid independence, transient and advection terms treatment, turbulence modeling, verification and validation, best practices. Hands-on experience with commercial CFD codes to demonstrate the application of: theory, proper setup and analysis. Prerequisites: MEC E 390, and 331 or equivalent.


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