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Navier Stokes Equations — 6-topic bundle

Comprehensive AI-generated study curriculum with 7 detailed note modules.

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Course Syllabus

  1. Mathematical Preliminaries and Fluid Kinematics
  2. Conservation Laws and Constitutive Relations
  3. Exact Solutions of Navier-Stokes Equations
  4. Inviscid Flow and Potential Flow Theory
  5. Dimensional Analysis and Introduction to Boundary Layers
  6. Turbulence and Advanced Topics (Overview)

Study Notes

Inviscid Flow and Potential Flow Theory

You'll learn how dropping viscosity from Navier-Stokes gives you the Euler equations, and how adding one more assumption—zero vorticity—collapses the whole velocity field into a single scalar function obeying Laplace's equation. You'll build flows by adding simple pieces together (superposition), model flow past a cylinder, and see exactly where this elegant theory breaks: it predicts zero drag but still explains lift.

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Inviscid Flow and Potential Flow Theory

You'll learn how dropping viscosity from Navier-Stokes gives the Euler equations, and how adding one more assumption — irrotational flow — turns the problem into solving Laplace's equation. You'll build flow fields by adding together simple building blocks (uniform flow, sources, vortices, doublets). You'll also see why this beautiful theory predicts zero drag on a cylinder, and why that's wrong.

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Dimensional Analysis and Introduction to Boundary Layers

You'll learn how to strip units out of the Navier-Stokes equations to reveal the Reynolds number, the single parameter that controls whether a flow behaves like it has no friction or like it's dominated by it. You'll then see why, even at huge Reynolds number, friction never fully disappears — it hides in a thin layer near walls. By the end you can estimate that layer's thickness with one formula.

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Mathematical Preliminaries and Fluid Kinematics

You'll learn the two languages for describing fluid motion — Eulerian and Lagrangian — and the material derivative that connects them. You'll learn to split the velocity gradient into a strain rate tensor (stretching) and a rotation tensor (spinning), which is the key trick behind every term in the Navier-Stokes equations. You'll also learn to distinguish streamlines, pathlines, and streaklines.

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