CFD Fundamentals: Theory & Applications

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Mechanical Engineering

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Duration 1227 Min

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Language English

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Why enroll

People enroll in this course to gain a deep understanding of Computational Fluid Dynamics (CFD) and its practical applications in engineering and research. Whether they are beginners looking to build a strong foundation or professionals aiming to refine their simulation skills. With a focus on real-world applications, advanced modeling, and optimization, learners can enhance their problem-solving abilities and boost their careers in industries like aerospace, automotive, and energy.

Course details

This course provides a rigorous introduction to Computational Fluid Dynamics (CFD), focusing on the fundamental theory and numerical methods behind modern CFD tools.

You will begin with the basics of fluid mechanics and move toward the derivation of key governing equations, including the continuity, momentum (Navier–Stokes), and energy equations.

The course emphasizes numerical methods such as the Finite Difference and Finite Volume Methods, with Python-based coding exercises for solving steady and unsteady diffusion and convection-diffusion problems.

Additional topics include the classification of fluid flow PDEs, time discretization schemes, error sources in CFD, mesh quality metrics, and the derivation and modeling of turbulence using RANS equations and common turbulence models (Spalart-Allmaras, k–ε, k–ω).

This course is ideal for students, researchers, and professionals aiming to build a strong theoretical and computational foundation for CFD applications in aerospace, automotive, energy, and related engineering fields.

Course suitable for

Key topics covered

* Introduction to CFD

* Basic concepts of fluid mechanics: Fluid Properties, Types of fluid flow, Fluid Motion Description (Eulerian & Lagrangian), Fluid acceleration

* Overall CFD workflow: Geometry Preparation, Mesh Generation, Initial Condition & Boundary Condition, Solver Setup & Solving, Post Processing & Results Visualization

* Derivation of Continuity, Momentum & Energy equation

* Derivation of Navier-Stokes equation

* Characteristics of Fluid flow PDEs: Elliptic, Parabolic & Hyperbolic

* Basics of Discretization

* Finite Difference Method - Forward, Backward and Central difference schemes, Order of accuracy of Discretization schemes, Time Marching Schemes

* Solution of 2D Steady Diffusion Problem using FDM with Python coding

* Solution of 2D Unsteady Diffusion Problem using FDM with Python coding

* Finite Volume Method: Discretization of Diffusion Equation & Convection-Diffusion Equation

* Finite Volume Method: Upwind Scheme for Convection Dominated Flow

* Python code for the solution of 1D Steady Diffusion Problem using FVM

* Python code for the solution of Steady Convection-Diffusion Problem using FVM

* Solution of Incompressible Fluid Flow Equation: SIMPLE Algorithm

* Errors in CFD, Overall Accuracy of CFD Solution & Grid Generation Techniques

* Mesh quality matrices in CFD

* Introduction to Turbulent Flows

* Overview of turbulence models: RANS, LES, and DNS

* Resolution challenge in Turbulence

* Reynolds Averaged Navier-Stokes Equation Derivation

* Turbulence Modeling: Spalart-Almaras Model, k- ε Model & k- ω Model

* Best practices in CFD

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

Computational Fluid Dynamics: Overview Fundamentals, Applications & Fluid flow basics

4 Lectures

159 min

Course Structure
Preview
12 min
Introduction to CFD
Preview
40 min
Basic concepts of fluid mechanics
62 min
Overall CFD workflow
45 min

Fundamentals of Fluid Dynamics: Governing Equations and CFD Applications

2 Lectures

103 min

Governing Equation in Fluid Dynamics
45 min
Governing Equations of fluid dynamics & CFD
58 min

Fluid Flow: Characteristics of PDEs and Discretization methods in CFD

1 Lectures

64 min

PDEs and Discretization
64 min

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