The Department of Mechanical and Aerospace Engineering at the University of Florida is pleased to offer a distance learning Masters Degree program, Fundamentals of Thermal Fluids Transport, which provides a concentration in the thermal fluid sciences. This program is specially designed to meet the unique needs of engineering students working in a corporate environment who desire to develop advanced skills and problem solving capabilities in the areas of fluid dynamics, heat transfer, and energy systems.
Students completing the program will gain invaluable capabilities to understand the detailed physics governing inviscid and viscous flows, compressible flows, heat transfer through conduction and convective transport, energy states, and energy conversion. Students will also gain the analytical capabilities to mathematically model such transport phenomena and learn to obtain solutions through various analytical and numerical techniques.
The Mechanical and Aerospace Engineering faculty offering the distance learning program are renowned researchers in the thermal fluid sciences and tailor lectures to the most modern engineering concepts. Engineers who complete the Fundamentals of Thermal Fluids Transport program will gain confidence to use state-of-the-art analytical tools, such as Computational Fluid Dynamics, to develop creative solutions to the most challenging industrial thermal fluids problems.
Fall
EML 5714 Introduction to Compressible Flow (3)
One-dimensional and quasi-one-dimensional compressible fluids flows. Mach waves, normal shocks, oblique shocks, Prandtl-Meyer expansions, isentropic flow with area change, Fanno flow, Rayleigh flow.
EML 6154 Conduction Heat Transfer (3)
Studies of heat conduction in homogeneous, heterogeneous, isotropic, anisotropic, stationary, moving bodies in Cartesian, cylindrical, and spherical systems .Both exact and approximate solutions stressed.
EGM 6812 Fluid Mechanics I (3)
Flow kinematics. Fundamental laws and equations in integral and differential forms. Potential flows. Introduction to laminar flows in simple geometries, laminar, and turbulent boundary layer flows. External flows. One-dimensional compressible flows.
EGM 6321 Principles of Engineering Analysis I (3)
Solution of linear and nonlinear differential equations. Methods of Frobenius, classification of singularities. Integral representation of solutions. Treatment of the Bessel, Hermite, Legendre, hypergeometric, and Mathieu equations. Asymptotic methods including the WBK and saddle point techniques. Treatment of nonlinear autonomous equations. Phase plane trajectories and limit cycles. Thomas-Fermi, Emden, and van der Pol equations.
EGM 6341 Numerical Methods of Engineering Analysis I (3)
Finite-difference calculus; interpolation and extrapolation; roots of equations; solution of algebraic equations eigenvalue problems; least- squares method; quadrature formulas; numerical solution of ordinary differential equations; methods of weighted residuals. Use of digital computer.
Spring
EML 5104 Classical and Statistical Thermodynamics (3)
First and second laws of thermodynamics. Free energy and chemical equilibrium. Micro-and macroscopic states. Fermi-Dirac and Bose-Einstein statistics. Partition functions.
EML 6155 Convection Heat Transfer (3)
Application of the equations of motion and energy to forced and free convection with laminar and turbulent flow. Solution techniques to include simplification to ordinary differential equations, boundary layer approximations, similarity transformations, and integral approximations. Phenomenological treatment of turbulent transport.
EGM 6813 Fluid Mechanics II (3)
Mathematical and physical structures of Navier-Stokes equation. Exact solutions of Navier-Stokes equation for viscous flows. Low Reynolds number flows. Incompressible and compressible laminar boundary layer flows. Free shear flows. Energy equation and heat transfer. Unsteady flows. Instability. Turbulence.
Summer
EGM 6341 Numerical Methods of Engineering Analysis I (3)
Finite-difference calculus; interpolation and extrapolation; roots of equations; solution of algebraic equations eigenvalue problems; least- squares method; quadrature formulas; numerical solution of ordinary differential equations; methods of weighted residuals. Use of digital computer.
Plus two courses selected from any graduate course in the College of Engineering curriculum in consultation with advisor.
