2.2.22 · D4 · HinglishFluid Mechanics

ExercisesBlasius solution — exact laminar boundary layer solution

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2.2.22 · D4 · Physics › Fluid Mechanics › Blasius solution — exact laminar boundary layer solution

Ye exercise companion hai the Blasius topic note ke liye. Jo kuch bhi chahiye wo neche toolbox mein repeat kiya gaya hai — tumhe ye page kabhi leave nahi karna padega.


Level 1 — Recognition

Recall Solution

Wo group local Reynolds number hai . Blasius (laminar) roughly tak valid hai; uske upar hum Turbulent Boundary Layer ki taraf jaate hain. Humne kya kiya: yaad kiya ki inertia-vs-viscosity ratio hi ek maatra knob hai. Kyun: Blasius ODE tab nikla jab aur saare mein absorb ho gaye — jo cheez "scale jaanti hai" wo sirf hai.

Recall Solution

, similarity height par velocity ratio hai (yaad karo , stretched wall-distance hai). Wall par par hume milta hai (no-slip: fluid plate se chipka hua hai). Door (free stream se match karta hai). Kyun: seedha (stream-function definition) se aaya, isliye literally "full speed ka kitna fraction" hai.

Recall Solution

, isliye (distance ke square-root ki tarah badhta hai) aur (tez flow ⇒ patli layer). Square-root kyun: inertia ko viscosity ke saath balance karne par force hota hai.


Level 2 — Application

Recall Solution

Step 1 — : . Pehle kyun? Ye hai, isliye laminar Blasius legal hai. Step 2 — : . Kaisa dikhta hai: plate se chipki hui "slow water" ki 2 mm se kam ki ek sheet.

Recall Solution

Step 1 — : . Step 2 — un-normalise: . Kyun: dynamic pressure hai — natural "stress scale" jise tum dimensionless se multiply karte ho. Dekho Skin Friction Drag.

Recall Solution

Step 1 — : (laminar, limit se thoda neeche). Step 2 — : . Step 3 — force: . ki jagah kyun: poori plate par friction ka average hai; ek point par local hai.


Level 3 — Analysis

Recall Solution

Idea: fixed par , isliye . Compute: , isliye . Kaisa dikhta hai: distance chaar guna, lekin thickness sirf double — square-root growth decelerate ho rahi hai (neche figure dekho).

Neche ka figure is flow ke liye puri curve plot karta hai. Do dashed markers dekho: pale-yellow wala par hai, pink wala par. Horizontally trace karo: 4 ke factor se jump karta hai lekin height sirf double hoti hai. Curve leading edge ke paas steep hai aur downstream flatten hoti jaati hai — ye visual concavity hi law hai. Ek straight line (common galat guess) same rate par chadhti rahegi aur far downstream badly overshoot kar degi.

Figure — Blasius solution — exact laminar boundary layer solution
Recall Solution

Idea: . ko half karne ka matlab ko se multiply karna hai, yaani ko se. Compute: . Kyun: , isliye . Friction downstream fade hoti hai — profile flatten hoti hai, wall slope girti hai.

Recall Solution

Step 1 — invert karo: se, milta hai. Step 2 — plug in: . Step 3: . Ye kyun kaam karta hai: "clever height" hai. Ek fixed shape point (half-speed) hamesha fixed par hota hai; ek baar physical mein convert karo.


Level 4 — Synthesis

Recall Solution

Step 1 — unit width per total drag: wall shear ko plate ke along integrate karo: Step 2 — integral karo: , isliye Step 3 — mein normalise karo: . use karke: Step 4 — compare: , isliye . ✓ Physical kyun: leading edge ke paas () wall slope — aur isliye — bahut bada hota hai ( ki tarah blow up karta hai). Us bade upstream friction ko small trailing-edge friction ke saath average karne par ek mean milta hai jo exactly trailing-edge local value ka double hai. Integral front se dominated hai.

Recall Solution

Wall par: dene par , aur BC doosra term bhi kill kar deta hai, isliye . ✓ (Koi fluid solid plate cross nahi karta — impermeability.) Wall ke upar: kyunki layer downstream thick hoti hai, iske andar hai (fixed par badhne ke saath fluid decelerate hota hai). Continuity phir force karta hai, isliye se upar chadhta hai — ek gentle outflow. Ye L4 synthesis hai continuity + Stream Function and Vorticity ka: stream function ko precisely is liye choose kiya gaya tha ki continuity automatically hold ho, aur phir bhi ye non-zero predict karta hai. Jo mistake ye kill karta hai: "flow purely parallel hai" — galat; layer mein momentum carry karta hai.


Level 5 — Mastery

Recall Solution

Step 1 — drag law assemble karo: L4.1 se, (kyunki aur ). Step 2 — ratio banao: Step 3 — sanity: speed zyada matter karti hai (exponent ) length se (exponent ). Dono double karne par clean milta hai. ✓ Kaisa dikhta hai: drag speed ke saath steeply badhta hai — term growth dominate karta hai.

Recall Solution

Step 1 — ODE se padho: . par, , isliye Step 2 — interpret karo: velocity gradient ki curvature hai. ka matlab hai ki profile ka inflection-free, zero-jerk start hai — shear wall par momentarily flat hai. Wall ke paas velocity (linear) ki tarah behave karti hai aur next correction sirf order par hai (kyunki aur coefficients, , vanish ho jaate hain). Step 3 — parabola kyun fail hoti hai: ek parabola ka ek non-zero term hota hai, yaani non-zero curvature jo constant rehti hai, jo aur true flattening ke against hai. Parabola sirf ek crude integral-method approximation hai; exact Blasius wall region remarkably high order tak linear hai. Ye mastery hai: ODE khud tumhe free mein deta hai — koi numerics nahi chahiye — aur ye profile shape pin kar deta hai.

Recall Solution

Jab (leading edge):

  • (layer ki edge par zero thickness hai). ✓ sensible.
  • (wall shear diverge karta hai). Ye leading-edge singularity hai.
  • bhi (kyunki ). Kaun si prediction break hoti hai: infinite unphysical hai — koi bhi wall infinite drag feel nahi karta. Theory kyun forbid karti hai: Prandtl reduction ne assume kiya tha ki (yahi allow kiya tha drop karne ko). par, aur comparable ho jaate hain, isliye wo founding approximation khatam ho jaati hai aur boundary-layer equations simply invalid ho jaate hain. True tip flow ko full Navier–Stokes Equations ki zaroorat hai (aur dekho Prandtl Boundary Layer Theory jahan approximation hold karti hai). Jab : lekin slowly (), jabki aur — friction kuch nahi ki taraf fade hoti hai. Lekin badhta rehta hai aur eventually exceed karta hai, isliye flow "infinity" se pehle hi turbulent transition kar leti hai. Blasius isliye ek finite laminar window hai, sabhi ke liye valid formula nahi — window ke baad Turbulent Boundary Layer scaling use karo.

Recall Scaling exponents ki one-line recap (upar har problem ki spine)

· · · · aur constants double hote hain: .