Advanced Thermofluids: Advanced Computational Fluid Dynamics
( 24 Modules )

Module #1
Introduction to Advanced CFD
Overview of CFD, its applications, and importance of advanced CFD in thermofluids

Module #2
Mathematical Foundations of CFD
Review of partial differential equations, numerical methods, and discretization techniques

Module #3
Numerical Solution of Navier-Stokes Equations
Finite difference, finite element, and finite volume methods for solving NSE

Module #4
Turbulence Modeling
Introduction to turbulence, RANS, LES, and DNS models

Module #5
mesh Generation and Adaptation
Structured and unstructured meshing, mesh adaptation strategies for CFD

Module #6
boundary Conditions and Numerical Stability
Implementation of boundary conditions, numerical stability, and convergence criteria

Module #7
Validation and Verification of CFD Results
Importance of validation and verification, methods for V&V, and uncertainty quantification

Module #8
Introduction to OpenFOAM and Python
Overview of OpenFOAM, installation, and basic Python programming for CFD

Module #9
OpenFOAM Case Setup and Running
Setting up a basic OpenFOAM case, running simulations, and post-processing

Module #10
CFD for Incompressible Flows
Solving incompressible flows using OpenFOAM, including laminar and turbulent flows

Module #11
CFD for Compressible Flows
Solving compressible flows using OpenFOAM, including supersonic and hypersonic flows

Module #12
Heat Transfer and Thermofluids
Solving heat transfer problems using OpenFOAM, including conduction, convection, and radiation

Module #13
Multiphase Flows and Phase Change
Solving multiphase flows and phase change problems using OpenFOAM, including eulerian and lagrangian approaches

Module #14
Mass Transport and Chemical Reactions
Solving mass transport and chemical reaction problems using OpenFOAM, including species transport and kinetics

Module #15
Large Eddy Simulation (LES) and Direct Numerical Simulation (DNS)
Advanced turbulence modeling using LES and DNS

Module #16
Uncertainty Quantification and Sensitivity Analysis
Methods for uncertainty quantification and sensitivity analysis in CFD

Module #17
High-Performance Computing and Parallelization
Parallel computing architectures, MPI, and OpenFOAM parallelization

Module #18
Visualization and Post-processing of CFD Results
Effective visualization and post-processing of CFD results using ParaView and Python

Module #19
Case Studies in Aerospace Engineering
Applications of advanced CFD in aerospace engineering, including aircraft and rocket design

Module #20
Case Studies in Chemical and Process Engineering
Applications of advanced CFD in chemical and process engineering, including reactor design and process optimization

Module #21
Case Studies in Energy and Environmental Engineering
Applications of advanced CFD in energy and environmental engineering, including wind energy and pollution dispersion

Module #22
Best Practices for CFD Simulation and Modeling
Guidelines for setting up and running CFD simulations, including mesh quality, time steps, and boundary conditions

Module #23
Advanced Topics in CFD
Current research and advancements in CFD, including machine learning, GPU acceleration, and multiscale modeling

Module #24
Course Wrap-Up & Conclusion
Planning next steps in Advanced Thermofluids: Advanced Computational Fluid Dynamics career

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Advanced Thermofluids: Advanced Computational Fluid Dynamics ( 24 Modules )

Advanced Thermofluids: Advanced Computational Fluid Dynamics
( 24 Modules )