Exercises — Navier-Stokes equations — derivation from Newton's second law for fluid
2.2.18 · D4· Physics › Fluid Mechanics › Navier-Stokes equations — derivation from Newton's second la
Poore note mein, incompressible Navier–Stokes equation yeh hai:
Yahan density hai (mass per volume), velocity field hai, pressure hai, dynamic viscosity hai (fluid kitna "chipchipa" hai), aur gravity hai. ("nabla") gradient operator hai — yeh measure karta hai ki koi quantity space mein kitni tezi se change hoti hai. Laplacian hai, jo ek doosri spatial derivative hai.
Level 1 — Recognition
L1.1 — Terms ko naam do
Upar di gayi full equation mein, identify karo ki chaar terms mein se har ek kaun si physical force represent karti hai, aur uski units (SI) batao.
Recall Solution
- — local (unsteady) inertia. Units (force per volume).
- — convective inertia. Same units, .
- — net pressure force per volume. . ✓
- — net viscous force per volume. , , product . ✓
- — gravity (weight) per volume. . ✓
Har term ek force per unit volume hai — isliye inhe add kiya ja sakta hai.
L1.2 — Acceleration dhundho
Ek patta ek steady river mein beh raha hai () jo narrow hoti ja rahi hai. Kya patta accelerate karta hai? Kaun sa term ise capture karta hai?
Recall Solution
Haan. Flow steady hai, isliye local term zero hai, lekin patta faster paani mein carry ho raha hai. Acceleration poori tarah convective term se aata hai. Ek fixed observer apne point par constant speed dekhta hai; lekin particle phir bhi speed up karta hai. Dekho Material derivative.
Level 2 — Application
L2.1 — Material derivative compute karo
Ek 1-D steady flow mein hai (SI units mein, toh mein , mein m). par ek fluid particle ka acceleration dhundho.
Recall Solution
Steady ⟹ . 1-D mein convective term: par: . Dhyaan do ki acceleration nonzero hai steady flow ke bawajood — convective term ne sara kaam kiya.
L2.2 — NS se hydrostatic pressure
Paani ki ek tank () rest mein hai, . NS use karke, surface se ki depth par pressure dhundho jahan surface pressure hai. lo.
Recall Solution
ke saath, saare inertia aur viscous terms khatam ho jaate hain. NS collapse hoti hai mein, yaani . Depth ko neeche ki taraf lete hue: Yahi bilkul Hydrostatic pressure hai — NS ise zero-velocity case ke roop mein apne andar rakhti hai.
L2.3 — Reynolds number
Paani (, ) diameter ki ek pipe mein ki speed se flow karta hai. Reynolds number compute karo aur batao kaun sa NS term dominate karta hai.
Recall Solution
(inertial force)/(viscous force) ka ratio hai. Yahan hai, isliye inertia ( term) dominate karta hai aur flow turbulent hai. Dekho Reynolds number.
Level 3 — Analysis
L3.1 — Kaun se terms bachte hain?
NS ke har term ko kept ya dropped classify karo: (a) inviscid flow ke liye, (b) static fluid ke liye, (c) steady flow ke liye.
Recall Solution
| Case | |||||
|---|---|---|---|---|---|
| (a) inviscid () | keep | keep | keep | drop | keep |
| (b) static () | drop | drop | keep | drop | keep |
| (c) steady () | drop | keep | keep | keep | keep |
Case (a) se Euler equation (inviscid flow) milti hai; case (b) se hydrostatics milti hai.
L3.2 — Viscous term ka dimensional check
Dimensional analysis se dikhao ki ke units ke barabar hain, jo confirm karta hai ki inhe add kiya ja sakta hai.
Recall Solution
. . Product: . . ✓ Identical — dono forces per volume hain.
L3.3 — Second derivative kyun?
Ek shear stress hai. Ek blob ke bottom face par stress hai aur top face par . Net viscous force per volume derive karo aur explain karo ki ek derivative kyun kaafi nahi hai.
Recall Solution
Do horizontal faces se net -force (har face ka area ): Per volume: . Ek derivative kyun nahi? khud ek stress hai, net force nahi. Net force ke liye stress ko blob ke across differ karna padta hai — yeh difference ek aur spatial derivative hai. Dekho Viscosity & Newton's law of viscosity.

Level 4 — Synthesis
L4.1 — Plane Poiseuille flow
aur par plates ke beech steady flow hai, pressure gradient (jahan ) se driven hai, mein gravity nahi. No-slip: . derive karo aur dhundho ki speed maximum kahan hai.
Recall Solution
Steady, unidirectional ⟹ inertia terms khatam, -momentum NS ban jaata hai Do baar integrate karo: lagao . lagao . Toh Maximum jahan (centre par), jahan Yeh parabola viscous pressure-driven flow ki pehchaan hai. Dekho Poiseuille flow.

L4.2 — Numeric Poiseuille
L4.1 ko , , ke saath use karke, aur par speed compute karo.
Recall Solution
par:
Level 5 — Mastery
L5.1 — Wall ke neeche gravity-driven film
Thickness ki ek thin film gravity ke under ek vertical wall se neeche behti hai. Steady, unidirectional flow jahan wall se distance hai ( wall, free surface). Koi pressure gradient nahi. Wall par no-slip ; free surface par zero shear . derive karo aur maximum (surface) speed nikalo.
Recall Solution
Flow direction (, neeche) ke along, NS deta hai , toh Integrate karo: . par zero-shear: . Phir integrate karo: . No-slip . Toh Maximum at the free surface :

L5.2 — Numeric film
, , , lo. Surface speed dhundho.
Recall Solution
L5.3 — Convective vs. viscous (order-of-magnitude)
L2.3 ke pipe flow ke liye (, , , ), convective inertia term aur viscous term ka ratio estimate karo. Confirm karo ki yeh ke barabar hai.
Recall Solution
Numerically: . ✓ Isliye inertia-to-viscosity measure karta hai — yeh seedha do NS terms ko compare karne se nikalta hai.
Recall Master checklist
Har term ek force per volume hai ::: isliye wo add hote hain; check karo ki units hain. Steady flow mein bhi acceleration ho sakta hai ::: convective term ki wajah se. Viscous force ek second derivative hai ::: yeh blob ke across stress ka difference hai. Second-order ODE ::: ko do boundary conditions chahiye. Free surface ::: zero shear, no-slip nahi.