2.2.3 · D3 · Physics › Fluid Mechanics › Viscosity — dynamic μ, kinematic ν = μ - ρ; Newtonian vs non
Intuition Yeh page kya hai
Parent note ne do viscosities build ki thi. Yahan hum cases drill karte hain — gradient ke har sign ka, zero-gradient trap ka, degenerate thin-gap limit ka, Newtonian aur non-Newtonian dono regimes ka, aur ek exam twist ka. Hum pehle forecast karte hain, phir solve karte hain, aur phir har number check karte hain.
Shuru karne se pehle, teen symbols jo parent ne kamaaye aur hum reuse karte hain. Agar koi unfamiliar lage, pehle parent dobara padh lo.
Recall Teen symbols jinpe hum takte hain
τ (Greek "tau") ::: shear stress — force per unit area jo paas-paas ki fluid layers ek doosre par lagati hain, pascals (Pa) mein measure hoti hai.
μ (Greek "mu") ::: dynamic viscosity, τ = μ d u / d y mein constant, units Pa·s.
γ ˙ (gamma with a dot) ::: shear rate = velocity gradient d u / d y , "speed gap ke across kitni tezi se change hoti hai", units s⁻¹ (per second).
γ ke upar dot ka matlab hai "rate" — ek change per second — bilkul waise jaise distance ke upar dot speed matlab hoti. To γ ˙ literally woh rate hai jis par layers shear (slide) karti hain ek doosre se .
Is topic ke har problem in mein se kisi ek cell mein aati hai. Page ka baaki hissa har cell ko ek worked example se bharta hai.
Cell
Kya change hota hai
Example
A. Positive gradient
speed height ke saath badhti hai, d u / d y > 0
Ex 1
B. Negative gradient
speed height ke saath girti hai, d u / d y < 0 — τ ka sign palat jaata hai
Ex 2
C. Zero gradient (degenerate)
uniform flow, d u / d y = 0
Ex 3
D. Thin-gap limit
h → 0 : stress blow up karta hai
Ex 4
E. μ vs ν ranking
kaun sa fluid momentum faster diffuse karta hai
Ex 5
F. Non-Newtonian, n < 1
shear-thinning apparent viscosity
Ex 6
G. Non-Newtonian, n > 1
shear-thickening apparent viscosity
Ex 7
H. Bingham yield (degenerate flow)
τ > τ 0 hone tak hilega nahi
Ex 8
I. Real-world word problem
falling sphere, momentum-diffusion time
Ex 9
J. Exam twist
do fluids stacked, stress matching
Ex 10
Figure mein charon gradient signs side by side dikhaye gaye hain — amber slope arrows dekho: upar-slope (A), flat (C), neeche-slope (B), aur near-vertical thin-gap case (D). Us slope ka sign aur steepness hi Newton's law ki poori kahaani hai .
Worked example Ex 1 — Standard Couette drag
Water-jaisa oil, μ = 0.8 Pa·s, gap h = 2 mm = 0.002 m mein bhara hai. Top plate (y = h ) U = 0.3 m/s par move kar rahi hai; bottom fixed hai. Plate area A = 0.5 m 2 . Shear stress aur force nikalo.
Forecast: andaza lagao — kya force 6 N ke kareebi hogi ya 600 N ke? Apna andaza likh lo.
Shear rate. γ ˙ = d y d u = h − 0 U − 0 = 0.002 0.3 = 150 s − 1 .
Yeh step kyun? Profile 0 se U tak ek seedhi line hai, aur seedhi line ka slope (rise)/(run) = U / h hota hai. Wahi slope hi d u / d y hai.
Stress. τ = μ γ ˙ = 0.8 × 150 = 120 Pa.
Yeh step kyun? Newton's law: stress = viscosity × gradient.
Force. F = τ A = 120 × 0.5 = 60 N.
Yeh step kyun? Stress force per area hoti hai; area se multiply karke force wapas milti hai.
Verify: units — ( Pa⋅s ) ( s − 1 ) = Pa ✓, phir ( Pa ) ( m 2 ) = N ✓. Answer 60 N tumhare pehle guess bracket ke paas hai. Positive U ne positive τ diya: fluid moving plate par wapas push karta hai, use drag karta hai, jaise expected tha.
Worked example Ex 2 — Speed height ke saath decrease ho rahi hai
Same oil (μ = 0.8 Pa·s), lekin ab velocity height ke saath girti hai: bottom par y = 0 fluid u = 0.4 m/s par move karta hai, aur top par y = h = 0.002 m par u = 0.1 m/s par. τ nikalo aur uska sign interpret karo.
Forecast: kya is baar τ positive aayega ya negative?
Shear rate. γ ˙ = h u top − u bottom = 0.002 0.1 − 0.4 = 0.002 − 0.3 = − 150 s − 1 .
Yeh step kyun? Gradient hai (top par value − bottom par value)/gap. Kyunki speed upar jaane par girti hai, numerator negative hai.
Stress. τ = μ γ ˙ = 0.8 × ( − 150 ) = − 120 Pa.
Yeh step kyun? Newton's law sign ko seedha carry karta hai.
Interpret karo. Minus sign kehta hai upper layer par stress negative flow direction mein point karta hai — slow top fluid forward drag hota hai jabki woh fast bottom fluid ko wapas drag karta hai. Magnitude, 120 Pa, Ex 1 se bilkul same hai.
Yeh step kyun? Sign momentum transfer ki direction encode karta hai; magnitude encode karta hai kitna .
Verify: kaun si plate fast hai yeh flip karo to sign flip hota hai lekin size nahi — ek accha symmetry check. ∣ τ ∣ = 120 Pa bilkul Ex 1 ki magnitude se match karta hai. ✓
Worked example Ex 3 — Uniform stream
Same oil ki puri nadi ek rigid slab ki tarah move karti hai: har layer u = 10 m/s par chalti hai, top aur bottom dono. Internal viscous stress nikalo.
Forecast: 10 m/s fast hai — zaroor bada stress hoga? Padhne se pehle andaza lagao.
Shear rate. γ ˙ = h u top − u bottom = h 10 − 10 = 0 s − 1 .
Yeh step kyun? Viscosity layers ke beech ke farq ki parwah karta hai, unki common speed ki nahi. Koi farq nahi ⇒ zero gradient, chahe h kuch bhi ho.
Stress. τ = μ × 0 = 0 Pa.
Yeh step kyun? Newton's law: koi gradient nahi, koi stress nahi — τ = μ d u / d y likhne ka yahi to matlab hai na ki τ = μu .
Verify: dimension-free sanity — uniformly moving fluid ko uss frame se dekha ja sakta hai jo uss ke saath move kar raha hai, jahan sab kuch rest mein hai aur obviously stress-free hai. Physics us frame choice par depend nahi kar sakti, to stress har frame mein 0 hona chahiye. ✓ Yahi parent ka #1 misconception hai, defuse kiya gaya.
Worked example Ex 4 — Gap ko zero tak squeeze karna
Ex 1 lo (μ = 0.8 Pa·s, U = 0.3 m/s fixed) aur gap shrink karo: h = 0.2 mm = 2 × 1 0 − 4 m. τ ka kya hoga? Phir h → 0 ke baare mein reason karo.
Forecast: das guna patla gap — stress kitne factor se badhega?
Naya shear rate. γ ˙ = 2 × 1 0 − 4 0.3 = 1500 s − 1 .
Yeh step kyun? Same speed spread tenth distance par ⇒ dus guna steep slope.
Naya stress. τ = 0.8 × 1500 = 1200 Pa — bilkul 10 × Ex 1 ki value.
Yeh step kyun? Fixed U par τ ∝ 1/ h ; h ko 10 se kato, τ ko 10 se multiply karo.
Limit. Jaise h → 0 , γ ˙ = U / h → ∞ , to τ → ∞ .
Yeh step kyun? Isliye real machines ek finite oil film rakhte hain — infinitely thin film infinite force demand karti (aur fluid ko shred kar deti). Yahi Boundary Layer idea ka seed hai: wall ke paas gradient sabse steep hota hai.
Verify: ratio check τ new / τ old = 1200/120 = 10 = h old / h new ✓ — inverse proportionality confirmed.
Worked example Ex 5 — Motion faster kaun spread karta hai, air ya water?
Air: μ a = 1.8 × 1 0 − 5 Pa·s, ρ a = 1.2 kg/m 3 . Water: μ w = 1.0 × 1 0 − 3 Pa·s, ρ w = 1000 kg/m 3 . Dono ν compute karo aur rank karo.
Forecast: water obviously air se "thicker" hai — to water ka ν bada hoga, sahi?
Air ka ν . ν a = ρ a μ a = 1.2 1.8 × 1 0 − 5 = 1.5 × 1 0 − 5 m 2 / s .
Yeh step kyun? Definition ν = μ / ρ ; density se divide karne par viscous force ko us inertia se compare kiya jaata hai jise use move karna hai.
Water ka ν . ν w = 1000 1.0 × 1 0 − 3 = 1.0 × 1 0 − 6 m 2 / s .
Rank. ν a / ν w = 1.0 × 1 0 − 6 1.5 × 1 0 − 5 = 15 . Air momentum 15× faster diffuse karta hai per unit mass water se.
Yeh step kyun? Air ka μ ~55× chhota hai, lekin uska ρ ~830× chhota hai — density factor jeet jaata hai, isliye ν a > ν w . Yahi Momentum Diffusion numbers mein hai.
Verify: units kg/m 3 Pa⋅s = kg/m 3 kg/(m⋅s) = m 2 / s ✓. Answer "thicker = higher ν" wali intuition ko contradict karta hai — bilkul wahi parent ka counter-intuitive fact, quantitative banaya gaya.
Worked example Ex 6 — Paint on a brush
Power-law paint τ = K γ ˙ n with K = 2 , n = 0.5 . Gentle wall shear γ ˙ = 4 s − 1 par aur brisk brush shear γ ˙ = 100 s − 1 par apparent viscosity μ app = τ / γ ˙ compare karo.
Forecast: kya paint tez brush karne par aur thicki hogi ya patli?
Apparent-viscosity formula. μ app = γ ˙ τ = γ ˙ K γ ˙ n = K γ ˙ n − 1 = 2 γ ˙ − 0.5 .
Yeh step kyun? "Apparent viscosity" woh slope-to-origin hai jo tum us shear rate par maano Newtonian hai read karo. Hum ise use karte hain kyunki μ ab constant nahi hai.
Slow shear. μ app = 2 × 4 − 0.5 = 2/ 4 = 2/2 = 1.0 Pa·s.
Fast shear. μ app = 2 × 10 0 − 0.5 = 2/ 100 = 2/10 = 0.2 Pa·s.
Yeh step kyun? n − 1 = − 0.5 < 0 , isliye γ ˙ badhane se μ app ghat jaati hai — yahi shear-thinning ki definition hai.
Verify: ratio 1.0/0.2 = 5 ; aur bhi ( 100/4 ) 0.5 = ( 25 ) 0.5 = 5 ✓. Brush par (patla, spread hota hai) phir wall par (mota, drip nahi karta) — paint ka pura selling point yahi hai.
Worked example Ex 7 — Oobleck jams
Cornstarch suspension, τ = K γ ˙ n with K = 0.5 , n = 2 . γ ˙ = 2 s − 1 (slow stir) aur γ ˙ = 50 s − 1 (sharp punch) par μ app compare karo.
Forecast: ise tezi se punch karo — slow stir se softer hoga ya harder?
Apparent viscosity. μ app = K γ ˙ n − 1 = 0.5 γ ˙ 1 = 0.5 γ ˙ .
Yeh step kyun? Same μ app = K γ ˙ n − 1 formula; yahan n − 1 = 1 > 0 .
Slow. μ app = 0.5 × 2 = 1.0 Pa·s.
Fast. μ app = 0.5 × 50 = 25 Pa·s.
Yeh step kyun? Positive exponent ka matlab hai μ app shear rate ke saath badhti hai — fast loading mein particles jam ho jaate hain. Isliye tum oobleck par daud sakte ho lekin khade raho to doob jaate ho.
Verify: ratio 25/1.0 = 25 = 50/2 ✓ (γ ˙ mein linear hai isliye ratio shear-rate ratio ke barabar hai). Ex 6 se opposite trend, n -sign rule confirm karta hai.
Worked example Ex 8 — Toothpaste hilegi nahi
Ek Bingham plastic τ = τ 0 + μ p γ ˙ follow karta hai, yield stress τ 0 = 60 Pa aur plastic viscosity μ p = 0.4 Pa·s ke saath. (a) Applied stress τ = 40 Pa — kya yeh flow karega? (b) Applied τ = 100 Pa — shear rate nikalo.
Forecast: 40 Pa par, kuch move hoga bhi?
Yield check karo. Flow tabhi hota hai jab τ > τ 0 . (a) par 40 < 60 , isliye γ ˙ = 0 — yeh wahan ka wahan rahega (ek solid-jaisa plug).
Yeh step kyun? Yield se neeche structure ek soft solid ki tarah hold karta hai; koi gradient nahi kyunki koi motion nahi.
Yield se upar (b). Rearrange karo: γ ˙ = μ p τ − τ 0 = 0.4 100 − 60 = 0.4 40 = 100 s − 1 .
Yeh step kyun? Sirf τ 0 se zyada stress hi flow drive karta hai; us excess ko μ p se divide karo.
Verify: wapas plug karo — τ = 60 + 0.4 × 100 = 60 + 40 = 100 Pa ✓. Case (a) sahi degenerate no-flow answer deta hai, case (b) clean 100 s⁻¹.
Worked example Ex 9 — Ek mug of water mein ek jolt reach karne mein kitna time lagega
Ek spoon ek mug ki ek wall ko jolt karta hai. Momentum diffusion use karke estimate karo ki woh disturbance still water mein L = 3 cm = 0.03 m distance spread karne mein kitna time lega, ν w = 1.0 × 1 0 − 6 m 2 / s .
Forecast: seconds, minutes, ya hours?
Diffusion length rule. Parent se: time t mein momentum L ∼ ν t spread hota hai.
Yeh step kyun? ν ke units m²/s hain (ek diffusion coefficient), isliye time ke saath iska combination jo bhi length bana sakta hai woh ν t hi hai — dekho Momentum Diffusion .
t ke liye solve karo. Dono taraf square karo: L 2 = ν t ⇒ t = ν L 2 = 1.0 × 1 0 − 6 ( 0.03 ) 2 = 1 0 − 6 9 × 1 0 − 4 = 900 s.
Yeh step kyun? Scaling law rearrange karne par woh timescale milta hai jis mein viscosity akele motion carry karti hai.
Verify: units m 2 / s m 2 = s ✓. 900 s = 15 minutes — surprising taur par slow! Isliye real stirring bulk swirling (convection) se kaam karta hai, viscosity se nahi; yeh bhi explain karta hai kyun viscous effects ek thin Boundary Layer mein chhupi rehti hain aur Reynolds Number inertia ko viscosity se kyun compare karta hai.
Worked example Ex 10 — Do stacked fluids, ek plate
Do Newtonian layers ek fixed floor aur ek moving ceiling ke beech gap fill karti hain, ceiling U = 0.5 m/s par. Bottom layer: μ 1 = 0.2 Pa·s, thickness h 1 = 1 mm . Top layer: μ 2 = 0.6 Pa·s, thickness h 2 = 1 mm . Stress dono mein same hai (steady, no acceleration). Interface speed u i aur common stress τ nikalo.
Forecast: kya interface speed midpoint value 0.25 m/s se upar hai ya neeche?
Stress continuity. Steady shear mein body force ke bina, τ uniform hai, isliye μ 1 h 1 u i − 0 = μ 2 h 2 U − u i .
Yeh step kyun? Agar dono stresses alag hote, to thin interface layer par net force hota aur woh accelerate karta — steady state mein impossible hai.
Numbers daalo (h 1 = h 2 = 0.001 m cancel ho jaate hain): 0.001 0.2 u i = 0.001 0.6 ( 0.5 − u i ) ⇒ 0.2 u i = 0.6 ( 0.5 − u i ) .
Solve karo. 0.2 u i = 0.3 − 0.6 u i ⇒ 0.8 u i = 0.3 ⇒ u i = 0.375 m/s.
Yeh step kyun? Algebra. Interface midpoint se upar hai kyunki kam resist karne wali bottom layer (chhota μ 1 ) zyada aasani se shear hoti hai, isliye zyaadatar speed wahan use ho jaati hai.
Common stress. τ = μ 1 h 1 u i = 0.2 × 0.001 0.375 = 0.2 × 375 = 75 Pa.
Yeh step kyun? Ab jab u i pata hai, koi bhi layer τ de sakti hai.
Verify: top layer same stress deni chahiye: μ 2 h 2 U − u i = 0.6 × 0.001 0.5 − 0.375 = 0.6 × 125 = 75 Pa ✓. Dono agree karte hain, aur u i = 0.375 > 0.25 jaisa forecast kiya — kam viscous layer zyada velocity drop leta hai.
Recall Kaun sa cell sabse mushkil tha?
Zero-gradient trap (Cell C) ::: stress 0 hai 10 m/s par bhi — viscosity gradients read karta hai, speeds nahi.
μ-vs-ν ranking (Cell E) ::: air, ν par water ko beat karta hai patla feel karne ke bawajood, kyunki chhoti density se divide karna dominate karta hai.
Stacked-fluid twist (Cell J) ::: interface par equal stress enforce karo, equal shear rate nahi.
Mnemonic Sign & case checklist
"Slope upar → +τ, slope neeche → −τ, flat → 0; thin gap → huge τ; spread ki speed rank karne se pehle ρ se divide karo."