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10 Modules / ~100 pages
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~25 Modules / ~400 pages
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CFD Modeling and Simulation for Engineering Applications
( 25 Modules )

Module #1
Introduction to CFD
Overview of computational fluid dynamics, its importance, and applications in engineering
Module #2
Basic Equations of Fluid Dynamics
Derivation and explanation of mass, momentum, and energy conservation equations
Module #3
CFD Numerical Methods
Finite difference, finite element, and finite volume methods for solving fluid flow problems
Module #4
Mesh Generation and Grid Independence
Importance of mesh quality, grid generation techniques, and grid independence study
Module #5
Boundary Conditions and Turbulence Modeling
Types of boundary conditions, turbulence models, and their applications
Module #6
Laminar and Turbulent Flows
Characteristics, differences, and simulation challenges of laminar and turbulent flows
Module #7
Heat Transfer and Mass Transport
Simulation of heat transfer and mass transport phenomena in fluids
Module #8
Multiphase Flows and Interfaces
Simulation of multiphase flows, interfaces, and free surface flows
Module #9
CFD Software and Tools
Overview of commercial and open-source CFD software, such as ANSYS Fluent, OpenFOAM, and COMSOL
Module #10
Best Practices for CFD Modeling
Guidelines for setting up a CFD simulation, meshing, and boundary conditions
Module #11
CFD Simulation of Internal Flows
Simulation of internal flows in pipes, channels, and ducts
Module #12
CFD Simulation of External Flows
Simulation of external flows around bodies, such as aircraft, cars, and buildings
Module #13
Mixing and Blending Simulations
Simulation of mixing and blending processes in chemical and process industries
Module #14
Aerospace Engineering Applications
CFD simulations in aerospace engineering, including aerodynamics and propulsion systems
Module #15
Chemical and Process Engineering Applications
CFD simulations in chemical and process engineering, including reactor design and process optimization
Module #16
Biomedical Engineering Applications
CFD simulations in biomedical engineering, including blood flow and medical device design
Module #17
Environmental Engineering Applications
CFD simulations in environmental engineering, including water and air pollution modeling
Module #18
CFD Validation and Verification
Importance and methods of validation and verification of CFD simulations
Module #19
Uncertainty Quantification and Sensitivity Analysis
Methods for uncertainty quantification and sensitivity analysis in CFD simulations
Module #20
High-Performance Computing for CFD
Parallel computing, distributed computing, and cloud computing for large-scale CFD simulations
Module #21
Data Analysis and Visualization
Techniques for data analysis and visualization of CFD simulation results
Module #22
Optimization and Design Exploration
Using CFD simulations for design optimization and exploration
Module #23
CFD in Conjunction with Other Numerical Tools
Combining CFD with other numerical tools, such as FEA, CEA, and DEM
Module #24
Advanced Topics in CFD
Recent advances and emerging trends in CFD, such as machine learning and AI
Module #25
Course Wrap-Up & Conclusion
Planning next steps in CFD Modeling and Simulation for Engineering Applications career


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