Professor Garrick teaches several courses pertaining
to computational transport in the Mechanical Engineering Department.
The courses begin with a review of the fundamentals of heat transfer
and fluid mechanics and develop basic and advanced methodologies for
obtaining numerical solutions to the governing equations.
ME
5351 - Computational Heat Transfer.
Computational methods to solve problems involving heat conduction and
convection, and both steady and unsteady fluid dynamics. Performance
is assessed via six projects in which students must make assumptions,
present a formulation, solution procedure, and results. This course
is also writing intensive.
ME 8345
- Computational Heat Transfer & Fluid Flow.
Computational methods to solve problems with the non-linear fluid dynamics
present in turbulent flows. Derivation and physical insights into the
modeling of turbulence, including a priori analyses, Reynolds-averaged
Navier Stokes modeling, and probability density function based modeling.
ME 8390A:
Large Eddy Simulation of Turbulent Reacting Flows.
The mathematical and physical modeling of turbulent reacting flows
of scientific and engineering interests. Modeling of equilibrium and
non-equilibrium chemistry. Course content derived primarily from recent
journal articles. Physical and mathematical analysis of computer-generated
data.
