Udemy – An Introduction to Computational Fluid Dynamics

Description

Computational Fluid Dynamics (CFD) Fundamentals: A Complete Beginner’s Guide

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Requirements

• Basic understanding of Calculus

• Familiarity with Newton’s Laws of Motion

• Vector Calculus knowledge (optional)

• Basic Programming experience (optional)

• No prior experience with CFD software required

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Course Description

Unlock the power of Computational Fluid Dynamics (CFD) — one of the most in-demand skills in modern engineering. This comprehensive introductory course is designed to help you master the core principles of CFD, build strong theoretical intuition, and gain practical hands-on experience with simplified models and Python-based solvers.

Whether you’re an engineering student or a professional looking to upgrade your skills, this course provides a solid foundation in CFD — from the mathematical fundamentals to real-world applications.

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What You’ll Learn

• Taylor Series Applications – Learn how to use Taylor series to derive accurate approximations of derivatives.

• Discretization Techniques – Understand how to discretize differential equations and analyze the stability and accuracy of numerical schemes.

• Explicit vs. Implicit Methods – Explore the pros and cons of these fundamental solution approaches.

• Modified PDEs & Error Analysis – Identify and understand dissipative and dispersive numerical errors.

• Key Fluid Dynamics Concepts – Build clear intuition for terms like Substantial Derivative and Divergence.

• Navier–Stokes Equations (NS) – Derive and simplify the NS equations from first principles to fit different applications.

• Numerical Methods for CFD – Implement methods such as MacCormack’s scheme with artificial viscosity.

• Practical CFD Applications – Use Python-based models to simulate classic problems such as:

  • Lid-driven cavity flow

  • Shock tubes

  • Shock-vortex interactions

• Solver Extensions – Learn how to modify and extend your CFD solvers for more complex scenarios.

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Topics Not Covered

This course provides an extended introduction to CFD. Advanced topics like the following are intentionally excluded:

• Non-Cartesian coordinate transformations

• Reynolds-Averaged Navier–Stokes (RANS) and turbulence modeling

• Large Eddy Simulation (LES) and Detached Eddy Simulation (DES)

• Grid and mesh generation techniques

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Who This Course Is For

• Undergraduate students studying mechanical, aerospace, or civil engineering

• Engineers and professionals seeking to expand their technical skillset and learn CFD fundamentals

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Why Take This Course

By the end of this course, you’ll have a strong mathematical and conceptual understanding of CFD principles — enabling you to confidently approach more advanced simulations, research, or professional applications in fluid mechanics.

Please Note: Files will be included in this purchase only Full Course Video & Course Resources. You will get cloud storage download link with life time download access.