2.2.22 · D1 · Physics › Fluid Mechanics › Blasius solution — exact laminar boundary layer solution
Jab fluid ek flat plate ke upar se guzarta hai, tab wall ke paas ek patli "slow zone" (boundary layer) ban jaati hai kyunki fluid usse chipak jaata hai. Poori Blasius story yahi hai: us slow zone ki shape aur motaai dhundo — aur surprise yeh hai ki shape hamesha ek hi curve hoti hai agar tum height ko sahi stretched units mein mapo.
Yeh page kuch bhi assume nahi karta . Pehle Blasius derivation ko touch karo, us page ka har letter aur symbol yahan unpack hai — pehle plain words mein, phir ek picture ki tarah, phir us reason ke saath ki yeh topic uske bina zinda nahi reh sakta.
Socho hawa left se right ki taraf ek flat table ke upar beh rahi hai. Table ke kaafi upar hawa ek steady speed se chal rahi hai. Table ke bilkul upar hawa frozen hai — yeh ek solid surface ke upar slide nahi kar sakti (yeh "sticky rule" hai). Frozen aur free ke beech ek patla wedge-shaped region hota hai jahan speed zero se full speed tak chahdhti hai. Woh wedge hi boundary layer hai, aur yahi poore show ki star hai.
Do directions matter karti hain, isliye hum unhe naam dete hain:
x aur y — do coordinates
x = plate ke saath-saath distance, leading edge (agla tip) se measure kiya gaya. Downstream walk karne ki picture banao.
y = plate surface se seedha upar distance. Wall se door climb karne ki picture banao.
Picture: plate se chipka hua ek right-angle grid, x aage ki taraf point karta hai, y upar ki taraf point karta hai.
Hume dono chahiye kyunki flow dono directions mein bilkul alag behave karta hai — upar jaane par fast changes, aage jaane par slow changes. Yahi contrast poori simplification ka engine hai.
Fluid move karta hai, isliye har point par ek arrow hai jo hume batata hai kitni fast aur kis direction mein. Hum us arrow ko apne do axes ke saath do pieces mein split karte hain.
u — along-plate speed
u = fluid x -direction (aage) mein kitni fast move kar raha hai, ek diye gaye point ( x , y ) par. Velocity arrow ke horizontal part ki length ki picture banao.
Wall par (y = 0 ): u = 0 (frozen, sticky rule).
Kaafi upar (y → ∞ ): u → full speed.
v — up-plate speed
v = fluid y -direction (upar) mein kitni fast move karta hai. Arrow ke vertical part ki length ki picture banao. Yeh u se bahut chhota hai, lekin zero nahi — aur yeh bhool jaana ek classic mistake hai.
U ∞ — free-stream speed
U ∞ ("U-infinity") = plate se door , jahan wall feel nahi hoti, wahan hawa ki ek steady speed. Chhota ∞ ka matlab hai "bahut door." Figure ke top par sab equal, lambe undisturbed arrows ki picture banao.
Yeh topic in teeno ko kyun chahiye. Poora sawaal "velocity profile kya hai?" hi sawaal hai "jaise tum y mein chadhte ho, u kaise badalta hai?" Hum sab kuch U ∞ ke against measure karte hain kyunki problem mein woh ek fixed reference speed hai.
Intuition "No-slip" (sticky rule) kyun?
Solid se chipke real molecules uspe grab karte hain — woh slide nahi kar sakte. Isliye wall par exactly fluid speed wall se match karti hai (yahan, zero). Yeh ek akela fact, u ( x , 0 ) = 0 , hi boundary layer ke exist karne ko force karta hai.
Poora subject cheezein kitni quickly change hoti hain iske upar build hota hai. Uske liye ek piece of notation chahiye.
∂ y ∂ u — ek partial derivative
Ise padhte hain "jab tum y ko thoda nudge karo, x fixed rakhkar, u kitna badalta hai." Ek point par khade ho aur upar ek chhota step lo ki picture banao: speed u kitni badhi? Yeh growth-per-step ∂ u / ∂ y hai.
Curly ∂ (seedhe d ki jagah) sirf ek reminder hai: "u ek se zyada cheezein par depend karta hai (x aur y ), aur main abhi sirf unme se ek wiggle kar raha hoon."
Intuition Difference kyun nahi, derivative kyun?
"u top par minus u bottom par" jaisa difference chhupa deta hai ki change kahan fast hai. Derivative ek tez sawaal poochta hai: is exact height par , speed climb kitni steep hai? Wall par woh steepness bahut badi hai (speed zero se rocket ki tarah upar jaati hai); kaafi upar yeh almost flat hai. Sirf ek derivative hi us local steepness ko capture kar sakta hai — aur wall steepness exactly wahi hai jo drag karti hai.
∂ y 2 ∂ 2 u — ek second derivative
Rate of change of rate of change. Picture: jaise tum rise karte ho kya speed-climb tez ho rahi hai ya ease off ho rahi hai? Yeh profile ki curvature measure karta hai. Yahi term hai jis par viscosity act karti hai.
"y mein bada, x mein chhota" kyun. Upar chadhte hue, u ek baal-thin gap mein 0 se full speed tak shoot karta hai — ek fast change. Aage chalte hue, ek fixed height par u pura ek metre mein mushkil se badalta hai — ek slow change. Isliye ∂ / ∂ y terms, ∂ / ∂ x terms par dominate karte hain. Isi ek observation se Prandtl Navier–Stokes ka sabse bura term phenk deta hai. Dekho Prandtl Boundary Layer Theory .
Teen numbers fluid ko describe karte hain, kisi bhi flow se pehle.
ρ — density ("rho")
Fluid ke ek chunk mein kitna mass packed hai (kg per cubic metre). Us cheez ki ek bucket kitni heavy hai ki picture banao. Zyada density → zyada inertia → speed up ya slow down karna mushkil.
μ — dynamic viscosity ("mew")
Fluid kitna sticky/gooey hai — ek layer doosri layer ko kitni strongly drag karti hai. Honey (bada μ ) versus air (chhota μ ) ki picture banao. Yeh woh messenger hai jo wall se "ruko" ka signal fluid mein bahar le jaata hai.
ν — kinematic viscosity ("nu")
ν = μ / ρ . Yeh stickiness per unit heaviness hai — "slow down" ki khabar fluid mein kitni fast diffuse hoti hai. Units: m 2 / s (area per time — literally "har second mein khabar kitna area cover karti hai").
ν (nu) aur v (vee) confuse karna
Yeh almost identical lagte hain! v ek speed hai (up-direction), ν ek fluid property hai (kinematic viscosity). Jab bhi tum koi ek dekho, poochho: kya yeh ek velocity hai ya ek material constant?
Yeh topic unhe kyun chahiye. Viscosity (μ , ya ν ) woh reason hai ki boundary layer exist karta hai. Koi stickiness nahi → koi dragging nahi → koi slow zone nahi. Aur fluid jo tug wall ko deta hai (drag) literally μ times wall steepness ∂ u / ∂ y hai.
Definition Reynolds number
R e x
R e x = ν U ∞ x
Ek single dimensionless score jo inertia (fluid ka push-to-keep-going, ρ , U ∞ se powered) ko viscosity (fluid ki stickiness, ν ) se compare karta hai. Bada R e x → inertia jeetta hai → patli fast-flowing layer. Chhota R e x → stickiness jeetti hai → moti sluggish layer.
ν se divide kyun?
Speed times distance (U ∞ x ) measure karta hai "kitna motion build up hua hai." ν se divide karna (stickiness kitni fast diffuse hoti hai) poochha hai: kya stickiness ko flow mein spread hone ka time mila, ya flow ne use outrun kar diya? Woh ratio layer ke character ke baare mein sab decide karta hai. Dekho Reynolds Number .
R e x ≈ 5 × 1 0 5 se neeche flow smooth aur orderly rehta hai — laminar — aur Blasius apply hota hai. Uske upar flow chaos mein trip karta hai — turbulent — aur tumhe Turbulent Boundary Layer ki zaroorat hai.
Hamare paas do unknown velocities u aur v hain jo continuity se tied hain (mass appear ya vanish nahi ho sakta). Do coupled unknowns handle karna painful hai. Trick: ek function invent karo jo dono deta hai.
Definition Stream function
ψ ("psi")
Position ki ek single function jiske slopes tumhe velocities dete hain:
u = ∂ y ∂ ψ , v = − ∂ x ∂ ψ
ψ ko "flow lines" ka ek landscape socho: fluid constant ψ (streamlines) ke contours ke saath saath chalta hai, unhe kabhi cross nahi karta.
Intuition Ise aise kyun define karte hain?
Inhe continuity ∂ u / ∂ x + ∂ v / ∂ y mein plug karo aur tum ∂ x ∂ y ∂ 2 ψ − ∂ y ∂ x ∂ 2 ψ = 0 paate ho — automatically zero . Isliye koi bhi ψ free mein mass conservation satisfy karta hai. Humne ek constraint maanne wale do unknowns ko ek unknown ke badle trade kar diya jo koi nahi maanta. Zyada Stream Function and Vorticity mein.
Yahi payoff hai jo Blasius ko kaam karta hai.
Definition Similarity variable
η ("eta")
η = y ν x U ∞
Ek stretched height : ordinary height y ko us point par layer ki motaai se rescale kiya gaya. Us x par y -axis ko ek aise factor se zoom karne ki picture banao jo downstream jaane par shrink hota hai (kyunki layer fattens hoti hai). In units mein measure karene par, profile har jagah identical lagta hai.
Intuition Yeh exact stretch kyun kaam karta hai?
Do competing effects ko balance karo — inertia ∼ U ∞ 2 / x versus viscosity ∼ ν U ∞ / δ 2 . Unhe equal set karne se layer thickness milti hai δ ∼ ν x / U ∞ . Isliye height ke liye natural unit woh ν x / U ∞ hai, aur η = y / ( woh ) . Yahi similarity solution ka poora idea hai: do variables ( x , y ) ko ek mein fold karo ( η ) .
Definition Shape function
f ( η )
Stream function ka ek dimensionless version, ψ = ν x U ∞ f ( η ) . Prize hai iska slope:
f ′ ( η ) = U ∞ u = stretched height η par full speed ka fraction.
f ′ ko universal velocity profile socho — ek S-shaped curve jo wall par 0 se door 1 tak jaati hai.
f ′ , f ′′ , f ′′′
Prime ka matlab hai "η ke respect mein derivative." Isliye f ′ = speed fraction, f ′′ = uski steepness (profile ki curvature), f ′′′ = uske baad wala. Famous wall value f ′′ ( 0 ) = 0.332 exactly yeh hai ki wall par speed kitni steep rise karti hai — aur wahi steepness drag set karti hai.
δ — boundary-layer thickness
Woh height jis par u ne U ∞ ka 99% reach kar liya ho (slow zone ka ek practical "edge"). Figure 1 mein shaded wedge ke top ki picture banao. Result: δ ≈ 5.0 ν x / U ∞ .
τ w — wall shear stress ("tau")
Fluid jo plate par exert karta hai woh dragging force per unit area: τ w = μ ( ∂ u / ∂ y ) ∣ y = 0 . Plate par sticky fluid ka tiny sideways scrape ki picture banao — steeper profile matlab harder scrape.
C f aur C D — friction coefficients
Dimensionless drags. C f = ek point par local scrape; C D = poori plate par averaged scrape. τ w ko "dynamic pressure" 2 1 ρ U ∞ 2 se divide karne par units hat jaate hain, pure numbers reh jaate hain (C f = 0.664/ R e x ). Yeh Skin Friction Drag se connect hote hain.
shape function f and f prime
Blasius ODE and f double prime zero
thickness delta and drag Cf CD
Ise upar ki taraf padho: sticky rule + derivatives + viscosity, thin-layer idea aur Reynolds number ko feed karte hain; stream function plus clever ruler η shape function f produce karte hain; woh Blasius equation deta hai, jo thickness aur drag yield karta hai.
Right side cover karo. Agar tum har ek ka answer de sako, tum parent note ke liye ready ho.
Curly ∂ kya signal karta hai jo seedha d nahi karta? Quantity kai variables par depend karti hai, aur tum sirf ek ko change kar rahe ho baaki sab fixed rakhkar.
u versus v ka plain-words matlab?u = plate ke saath speed (x ), v = plate se door chhoti speed (y ).
ν (nu) kabhi v (vee) kyun nahi hota?ν ek fluid property hai (kinematic viscosity, m 2 / s ); v ek actual velocity hai.
Ek sentence mein, U ∞ kya hai? Plate se door single steady flow speed, jahan wall feel nahi hoti.
R e x = U ∞ x / ν kya compare karta hai?Inertia (build up hua motion) ko viscosity (diffuse hoti stickiness) ke against — laminar vs turbulent decide karta hai.
Stream function ψ kyun introduce karte hain? Ek function jiske slopes dono u aur v dete hain, automatically mass conservation satisfy karte hue.
η physically kya hai?Height y ko local layer thickness se rescale kiya gaya, taaki profile har x par identical lage.
f ′ ( η ) kya equal hai?Velocity fraction u / U ∞ — universal S-shaped profile.
f ′′ ( 0 ) = 0.332 physically kya represent karta hai?Speed wall par kitni steeply rise karti hai — jo wall drag set karta hai.
τ w ka matlab?Wall shear stress, μ ( ∂ u / ∂ y ) ∣ y = 0 — fluid ka plate par sideways scrape.