
Fluid Dynamics Course
Master the full mathematical and physical framework of fluid dynamics, from hydrostatics and boundary layer theory to turbulence modeling and compressible flow. This course delivers rigorous derivations, exact analytical solutions, and computational methods used by practicing physicists and engineers. Build the deep theoretical foundation required to analyze, simulate, and publish on complex fluid systems.
What you will learn:
You will develop a thorough command of the governing equations of fluid mechanics, including the Navier-Stokes equations, Reynolds-averaged formulations, and potential flow theory. The course covers dimensional analysis, boundary layer behavior, hydrodynamic stability, and the physics of turbulent energy cascades. You will also study compressible flow phenomena such as normal shocks, oblique shocks, and isentropic nozzle flows. Computational methods including finite difference, finite volume, and pressure-velocity coupling algorithms are introduced with mathematical precision. Supplementary topics address heat transfer, multiphase flows, geophysical fluid dynamics, and experimental measurement techniques including PIV and hot-wire anemometry.
How you study in practice Fluid Dynamics Course
How you practise Fluid Dynamics Course
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Course Content
8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Fluid Mechanics
Foundations of Fluid Mechanics
Lesson 1 • Hydrostatics and Pressure Distribution
Derives pressure variation in static fluids and applies it to buoyancy and manometry. Provides the baseline for understanding pressure-driven flows.
Lesson 2 • Conservation Laws: Mass and Momentum
Derives the continuity equation and Euler momentum equation in integral and differential forms. Connects physical conservation principles to mathematical field equations.
Lesson 3 • Continuum Hypothesis and Kinematics
Introduces the continuum assumption and Lagrangian vs. Eulerian descriptions of motion. Links microscopic molecular behavior to macroscopic field variables.
Lesson 4 • Properties of Fluids
Covers density, viscosity, surface tension, and compressibility as intrinsic fluid properties. Establishes the physical vocabulary needed for all subsequent analysis.
Lesson 5 • Energy Equation and Bernoulli Principle
Develops the energy equation for fluid systems and derives Bernoulli's equation as a special case. Enables students to solve pipe flow and nozzle problems.
Chapter 2HideHide detailsSee detailsDimensional Analysis and Similarity
Dimensional Analysis and Similarity
Lesson 1 • Dimensional Homogeneity and Units
Reviews fundamental dimensions and enforces dimensional homogeneity in physical equations. Prepares students for systematic non-dimensionalization.
Lesson 2 • Key Dimensionless Parameters
Introduces Reynolds, Mach, Froude, Weber, and Strouhal numbers with physical interpretations. Links each parameter to dominant flow physics.
Lesson 3 • Buckingham Pi Theorem
Applies the Pi theorem to reduce governing variables into independent dimensionless groups. Students practice identifying repeating variables and forming Pi groups.
Lesson 4 • Dynamic Similarity and Model Testing
Establishes geometric, kinematic, and dynamic similarity criteria for physical model design. Enables accurate scale-up of experimental results to full-scale systems.
Chapter 3HideHide detailsSee detailsViscous Flow and the Navier-Stokes Equations
Viscous Flow and the Navier-Stokes Equations
Lesson 1 • Creeping Flow and Low Reynolds Number
Analyzes Stokes flow regime where inertia is negligible relative to viscous forces. Covers Stokes drag on a sphere and lubrication theory fundamentals.
Lesson 2 • Exact Solutions of Navier-Stokes
Solves canonical viscous flow problems including Couette, Poiseuille, and Stokes flows. Builds physical intuition for velocity profiles and pressure gradients.
Lesson 3 • Stress Tensor and Constitutive Relations
Develops the viscous stress tensor and Stokes constitutive law for Newtonian fluids. Bridges kinematics to the momentum equation with viscous terms.
Lesson 4 • Vorticity Dynamics in Viscous Flows
Derives the vorticity transport equation and analyzes vorticity generation and diffusion. Connects viscous dissipation to rotational flow structures.
Lesson 5 • Navier-Stokes Equation Derivation
Derives the full Navier-Stokes equations from Newton's second law and the constitutive relations. Establishes the governing PDE system for viscous flow analysis.
Chapter 4HideHide detailsSee detailsBoundary Layer Theory
Boundary Layer Theory
Lesson 1 • Pressure Gradient Effects and Separation
Examines how adverse pressure gradients cause boundary layer thickening and separation. Links separation to drag increase and stall phenomena.
Lesson 2 • Prandtl Boundary Layer Equations
Derives the boundary layer equations via order-of-magnitude scaling of Navier-Stokes. Establishes the thin-layer approximation valid at high Reynolds numbers.
Lesson 3 • Transition to Turbulence in Boundary Layers
Describes the laminar-to-turbulent transition process and the Tollmien-Schlichting instability mechanism. Identifies critical Reynolds numbers and transition prediction methods.
Lesson 4 • Integral Methods: von Karman Equation
Applies the von Karman momentum integral equation to approximate boundary layer growth. Enables engineering estimates without solving full PDEs.
Lesson 5 • Blasius Solution for Flat Plate
Solves the zero-pressure-gradient boundary layer using the Blasius similarity transformation. Provides exact velocity profiles and skin friction coefficients.
Chapter 5HideHide detailsSee detailsTurbulent Flow Fundamentals
Turbulent Flow Fundamentals
Lesson 1 • Reynolds-Averaged Navier-Stokes Equations
Derives the RANS equations and identifies the Reynolds stress closure problem. Motivates the need for turbulence models in practical computations.
Lesson 2 • Turbulent Energy Cascade and Kolmogorov Scales
Explains Richardson's energy cascade and Kolmogorov's similarity hypotheses for small-scale turbulence. Defines the dissipation range and inertial subrange.
Lesson 3 • Engineering Turbulence Models
Surveys zero-equation, k-epsilon, and k-omega turbulence models with their assumptions and applicability. Guides model selection for different flow configurations.
Lesson 4 • Turbulent Boundary Layer Structure
Describes the inner and outer layer structure of turbulent boundary layers using wall units. Derives the log-law of the wall and wake region profiles.
Lesson 5 • Statistical Description of Turbulence
Introduces turbulence as a stochastic process described by velocity statistics and correlations. Establishes the framework for Reynolds decomposition and averaging.
Chapter 6HideHide detailsSee detailsPotential Flow and Aerodynamics
Potential Flow and Aerodynamics
Lesson 1 • Panel Methods for Arbitrary Bodies
Introduces source and vortex panel methods for numerically solving potential flow around arbitrary shapes. Connects analytical theory to computational aerodynamic tools.
Lesson 2 • Irrotational Flow and Velocity Potential
Defines irrotational flow and introduces the velocity potential and stream function. Establishes the Laplace equation as the governing equation for potential flow.
Lesson 3 • Conformal Mapping and Airfoil Theory
Uses Joukowski and Karman-Trefftz transformations to map cylinder solutions to airfoil geometries. Predicts lift and pressure distributions on thin airfoils.
Lesson 4 • Flow Over Cylinders and Spheres
Constructs flow over a cylinder by superposing doublet and uniform flow, then adds circulation. Derives the Kutta-Joukowski lift theorem.
Lesson 5 • Elementary Potential Flow Solutions
Derives uniform flow, source, sink, doublet, and vortex solutions to the Laplace equation. Provides building blocks for constructing complex flow fields.
Chapter 7HideHide detailsSee detailsCompressible Flow Dynamics
Compressible Flow Dynamics
Lesson 1 • Oblique Shocks and Expansion Waves
Extends shock analysis to oblique shocks and Prandtl-Meyer expansion fans. Enables analysis of supersonic flow over wedges and corners.
Lesson 2 • Fanno and Rayleigh Flow
Analyzes adiabatic flow with friction (Fanno) and frictionless flow with heat addition (Rayleigh). Applies these models to duct flows with real physical effects.
Lesson 3 • Normal Shock Waves
Derives Rankine-Hugoniot relations across normal shocks and analyzes entropy production. Applies shock relations to pitot tube measurements and diffuser design.
Lesson 4 • Isentropic Flow in Nozzles
Analyzes isentropic flow through converging and converging-diverging nozzles using area-Mach relations. Predicts choked flow conditions and design Mach numbers.
Lesson 5 • Thermodynamics of Compressible Flow
Reviews thermodynamic relations for ideal gases and defines stagnation properties. Establishes the thermodynamic foundation for compressible flow analysis.
Chapter 8HideHide detailsSee detailsComputational Fluid Dynamics Fundamentals
Computational Fluid Dynamics Fundamentals
Lesson 1 • Finite Difference Methods
Applies finite difference discretization to diffusion and convection equations on structured grids. Covers explicit and implicit time-stepping schemes.
Lesson 2 • Turbulence and Mesh Resolution in CFD
Discusses RANS, LES, and DNS approaches in CFD with their mesh resolution requirements. Guides students in selecting appropriate simulation strategies for given flow problems.
Lesson 3 • Finite Volume Method
Discretizes conservation laws over control volumes to ensure local and global conservation. Introduces flux interpolation and gradient reconstruction techniques.
Lesson 4 • Pressure-Velocity Coupling
Addresses the incompressible flow pressure-velocity coupling problem using SIMPLE and related algorithms. Explains staggered and collocated grid arrangements.
Lesson 5 • Governing Equations in Discrete Form
Converts continuous PDEs into algebraic systems using Taylor series and integral formulations. Establishes consistency, stability, and convergence as key numerical properties.
Your valid completion certificate
This course is for you:
Physics graduates ready to specialize in fluid mechanics research careers.
Aerospace engineering students seeking deeper theoretical grounding in flow analysis.
Mechanical engineers transitioning into simulation-heavy roles requiring rigorous fluid knowledge.
Research scientists entering computational fluid dynamics from adjacent physical sciences.
Graduate students preparing for thesis work involving turbulent or compressible flow systems.
Industry engineers aiming to move from software tools into first-principles flow understanding.
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