Descriptions
Introduction to computational fluid dynamics. Working knowledge of computational fluid dynamics (CFD) is quickly becoming a requirement in many engineering fields. In this course, you will learn the basics of this fascinating tool, including but not limited to the following concepts and related applications: Using Taylor series to adapt (no pun intended) approximations to derivatives to desired accuracy. Discretization of differential equations and prediction of behavior (stability and accuracy) of these schemes. Advantages and disadvantages of explicit and implicit methods. Modified PDEs and error types (dissipative and dispersive). The intuition behind mathematical ideas such as “essential derivative” and “divergence”. Derivation of the Navier-Stokes (NS) system. equations from first principles. Manipulate and simplify NS equations to find a model suitable for your application. Discretization of the NS equations using methods such as the McCormack scheme with artificial viscosity. Using models of varying fidelity (and accompanying Python code) to solve interesting problems such as lid-driven cavities, shock tubes, and shock-vortex interactions. Extension of the presented solvers to solve variations of canonical problems. As the title of the course suggests, this is intended as an (extended) introduction, implying that some concepts have been intentionally (and unfortunately) omitted, including but not limited to: Converting NS equations to non-Cartesian coordinate systems. Reynolds averaging and turbulence modeling. Simulation of large/individual eddies. Creating a mesh.
What will you learn
- Understand how to derive, manipulate, and simplify the Navier-Stokes equations.
- Discretize fluid dynamics equations and predict the accuracy, stability, and errors of numerical schemes.
- Writing, running, extending and testing CFD solvers
- Apply the lessons learned to several useful applications such as shock tubes and cap driven cavities.
Who is this course for?
- Students
- Engineers looking to diversify their skills
Technical Specifications for an Introduction to Computational Fluid Dynamics
- Publisher: Udemy
- Teacher: Sebastian Thomas
- English language
- Level: Beginner
- Number of courses: 30
- Duration: 12 hours 1 minute
Contents of Introduction to Computational Fluid Dynamics
Requirements
- Basic Calculus
- Newton’s laws of motion
- Vector calculus (optional)
- Programming (optional)
- No experience with CFD software is expected.
Images
Sample clip
Installation instructions
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Quality: 720p
Download links
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file size
3.35 GB