Computational Fluid Dynamics in Aerospace Engineering
( 25 Modules )

Module #1
Introduction to CFD
Overview of CFD, importance in aerospace engineering, and brief history

Module #2
Governing Equations
Navier-Stokes equations, Euler equations, and conservation laws

Module #3
Numerical Methods
Overview of numerical methods for solving PDEs, including finite difference, finite element, and finite volume methods

Module #4
Discretization Techniques
Finite difference and finite volume discretization methods for Navier-Stokes equations

Module #5
Grid Generation
Structured and unstructured grid generation methods for CFD

Module #6
Boundary Conditions
Types of boundary conditions, implementation, and importance in CFD simulations

Module #7
CFDSolver Fundamentals
Overview of CFD solvers, including compressible and incompressible flow solvers

Module #8
Turbulence Modeling
Introduction to turbulence, RANS, LES, and DNS turbulence modeling techniques

Module #9
Heat Transfer and Mass Transport
CFD modeling of heat transfer and mass transport in aerospace applications

Module #10
CFD for Aerodynamics
Application of CFD to aerodynamics, including airfoil and wing analysis

Module #11
CFD for Propulsion Systems
Application of CFD to propulsion systems, including rocket engines and turbines

Module #12
CFD for Aerospace Vehicle Design
Use of CFD in aerospace vehicle design, including drag reduction and lift enhancement

Module #13
CFD for Hypersonic Flows
Challenges and methods for simulating hypersonic flows in aerospace applications

Module #14
Uncertainty Quantification
Methods for quantifying uncertainty in CFD simulations, including sensitivity analysis and Monte Carlo methods

Module #15
CFD Code Development
Overview of CFD code development, including programming languages and software frameworks

Module #16
Parallel Computing for CFD
Parallel computing techniques for scalable CFD simulations

Module #17
CFD Post-processing and Visualization
Methods for visualizing and post-processing CFD simulation results, including data visualization tools

Module #18
Verification and Validation
Importance and methods for verifying and validating CFD simulations, including comparison to experimental data

Module #19
Case Studies in Aerospace CFD
Real-world examples and case studies of CFD applications in aerospace engineering

Module #20
Best Practices for CFD Simulations
Guidelines and best practices for setting up, running, and interpreting CFD simulations

Module #21
Advanced Topics in CFD
Advanced topics in CFD, including multiphase flows, multiscale modeling, and machine learning applications

Module #22
High-Order Numerical Methods
High-order numerical methods for CFD, including discontinuous Galerkin and spectral element methods

Module #23
CFD for Aerospace Systems
Application of CFD to aerospace systems, including aircraft, spacecraft, and missiles

Module #24
CFD for Wind Tunnel Testing
Use of CFD in wind tunnel testing, including simulation-driven design and experimental validation

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Computational Fluid Dynamics in Aerospace Engineering career

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Computational Fluid Dynamics in Aerospace Engineering ( 25 Modules )

Computational Fluid Dynamics in Aerospace Engineering
( 25 Modules )