3.4.18 · D4 · HinglishRocket Flight Mechanics

ExercisesFairing separation — altitude, dynamic pressure requirements

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3.4.18 · D4 · Physics › Rocket Flight Mechanics › Fairing separation — altitude, dynamic pressure requirements

Poore page mein use honay wale constants (jab tak koi problem override na kare):


Level 1 — Recognition

Tumse sirf sahi formula pick karke plug in karne ko kaha jaata hai.

L1.1 — Dynamic pressure

Ek rocket par density wali hawa mein fly karta hai. Dynamic pressure nikalo.

Recall Solution

Kya: parent note ke Step 1 se seedha definition apply karo. Yeh formula kyun: aane wali hawa ki kinetic-energy density hai; iske liye ek density aur ek speed chahiye, dono diye hain. Answer: .

L1.2 — Heat flux from

L1.1 ke ussi rocket ke liye, free-molecular heat flux nikalo.

Recall Solution

Kya: use karo (parent note ka Step 2). Kyun: heat flux force-flux times velocity hai; kyunki mein pehle se hai, ek aur factor of lagane se milta hai. Answer: — 1135 limit se kaafi upar, toh jettison karne ke liye bahut neeche/dense hai.

L1.3 — Density from altitude

par atmospheric density nikalo.

Recall Solution

Kya: exponential density law . Kyun: atmosphere har scale height par ek constant factor se patla hota hai, isliye altitude sirf exponent ke zariye aata hai. Units check: km aur km unit km share karte hain, isliye ek pure number hai. Answer: .


Level 2 — Application

Ek formula, lekin tumhe use rearrange karna hoga ya do ko chain karna hoga.

L2.1 — Full flux at altitude

par ek rocket se travel karta hai. compute karo aur decide karo: abhi jettison karein?

Recall Solution

Step 1 — density: altitude sirf hawa ke exponential thinning ke zariye aati hai, toh wahan se shuru karo. aur dono km mein hain, . Kyunki , Step 2 — heat flux: use karo. Yeh formula kyun aur kyun nahi: hum chahte hain ki payload kitni heat absorb kare, jo energy per second per area hai — aerodynamic force nahi. Free-molecular flow mein har molecule impact par apni kinetic energy dump karta hai, aur mass arriving per second per area hai; inhe multiply karo aur milta hai. Pressure par yeh extra factor of hi fast vehicles ko dangerous banata hai. Decision: abhi jettison mat karo; aur upar chhadho jahan girta rahe. Answer: , bahut zyada hai.

L2.2 — Solve for jettison altitude

ke liye, kis altitude par 1135 limit tak girega?

Recall Solution

Step 1 — required density: ko invert karo taaki woh density niklo jis par flux exactly limit ke barabar ho. Is tarah invert kyun: speed trajectory se set hai, aur flux ceiling mission se fix hai; sirf woh ek variable jo ko neeche la sakta hai woh hai. Toh heating law ko ke liye solve karo ke liye nahi. Step 2 — invert density law: (result km mein aata hai kyunki km mein hai). Log kyun: density altitude se ke zariye judi hai, jo ek exponential hai; ko exponent se nikaalane ka sirf ek hi tarika hai — natural log, jo exponential ko undo karta hai. Bonus mein yeh terrifying density ratio () ko tame number mein badal deta hai. Answer: .

L2.3 — Δv wasted by a heavy fairing

Upper stage: , , , fairing . Burn se pehle fairing drop karne par kitna Δv save hota hai usse burn ke through carry karne ke comparison mein?

Recall Solution

Carry-through Δv: . Drop-early Δv: dono masses se ghataao: Dono masses kyun giraate hain: fairing burn se pehle chali gayi, isliye woh na initial hai na final propellant mass — dono se use hataane par mass ratio badhti hai, aur bade ratio ka bada hota hai. Answer: gain .


Level 3 — Analysis

Ab tum cases compare karte ho, signs ke baare mein reason karte ho, aur limiting behaviour handle karte ho.

L3.1 — Two trajectories, same altitude

Rocket A par se guzarta hai; steeper, hotter Rocket B ussi par se guzarta hai. Density same hai. Unke heat fluxes compare karo aur explain karo kyun altitude akela criterion nahi hai.

Recall Solution

Shared density: Flux A: Flux B: Ratio: Interpretation: ussi 115 km par, B payload ko sirf ki wajah se 4.6× zyada heat karta hai. Dono 1135 se upar hain, lekin B ko safe hone se pehle noticeably zyada upar jaana padega. Altitude sirf ka proxy hai; asli criterion hai. Answer: , , ratio .

Neeche wala figure is fixed 115 km density par heating law plot karta hai. Violet curve ki steepness dekho: do dots Rockets A (magenta) aur B (orange) ko mark karte hain. Gaur karo ki velocity mein same horizontal step right side par kitna bada vertical jump produce karta hai — yeh visual steepening cube law ka kaam hai, aur yahi wajah hai ki B A se itna upar hai jabki dono ek altitude aur density share karte hain. (Alt text: heat-flux-versus-velocity curve ki tarah badhti hui; ek dashed navy line 1135 W/m² safe limit mark karti hai; 3000 m/s par magenta dot 5000 m/s par orange dot se kaafi neeche hai, dono limit se upar.)

Figure — Fairing separation — altitude, dynamic pressure requirements

L3.2 — Sensitivity of jettison altitude to velocity

use karke nikalo ki agar se badhe toh jettison altitude kitna zyada hona chahiye.

Recall Solution

Key trick: difference har constant term ko khatam kar deta hai. Kyunki , sirf -dependence hai. kyun: log ke andar ek coefficient bana deta hai ke saamne — wohi wajah jisse L3.1 mein flux ratio cube tha. Answer: faster vehicle ko approximately 11.5 km zyada upar jettison karna hoga.

L3.3 — Degenerate limit:

hone par jettison-altitude formula kya predict karta hai? Kya yeh physical hai?

Recall Solution

Kya hota hai: log ke andar, , toh , jo deta hai. Physical reading: ek vehicle jo barely move kar raha hai woh har molecule par almost koi kinetic energy deposit nahi karta, isliye uska heat flux limit se har altitude par — yahan tak ki ground par bhi neeche hoga. Ek negative "required" altitude ka matlab bas yeh hai ki "constraint pehle se satisfy hai; koi altitude margin ki zaroorat nahi." Formula sahi hai lekin iska output clamp karna hoga: . Answer: ; interpret karo "har jagah safe hai," tak clamp karo.


Level 4 — Synthesis

Density, flux, aur Δv reasoning ko ek decision mein combine karo.

L4.1 — Full jettison design point

Ek mission climb karta hai taaki jis waqt 1135 W/m² tak pahunche speed ho. (a) Jettison altitude nikalo. (b) Upper stage mein , , , fairing hai; burnout ki bajaye is point par drop karne se Δv gain nikalo.

Recall Solution

(a) Altitude. Required density: Pehle density kyun: flux limit aur speed dono fix hain, toh — bilkul L2.2 ki tarah — sirf woh knob jo ko limit tak la sakta hai woh density hai. Heating law ko ke liye solve karo, phir us density ko altitude mein convert karo. Log phir exponential atmosphere ko undo karta hai taaki hum seedha altitude padh sakein (km mein, kyunki km mein hai). (b) Δv gain. . Do mass ratios compare kyun: rocket equation kehta hai Δv sirf ratio par depend karta hai. Fairing carry karne par dono masses high rehti hain; burn se pehle drop karne par dono se girte hain, jo ratio badhata hai aur isliye achievable Δv bhi. Gain dono ke beech ka difference hai. Carry-through: Drop early: Gain: . Answer: par jettison karo; Δv gain .

L4.2 — Where does the constraint bind?

L4.1 vehicle ke liye, maan lo engineers 10 km neeche (121 km par) drop karna chahte hain taaki aur Δv save ho. Wahan heat flux limit se kitne factor se zyada hogi (same 4200 m/s)?

Recall Solution

Flux yahan kyun scale karta hai: heating law hai. Fixed speed par, ek constant multiplier hai, isliye directly ke proportional hai — density aadhi karo, flux aadhi ho jaati hai. Yeh hume sirf unki densities compare karke do altitudes compare karne deta hai. 121 km par density: 131.1 km case se ratio sirf altitude drop use karta hai (dono altitudes km mein, isliye exponent unitless hai): Kyunki at fixed , flux limit ka 3.85× hai, yaani . Reading: sirf 10 km pehle drop karne par heating almost chaar guna ho jaati hai — exponential atmosphere constraint ko sharp banata hai. Extra Δv payload ko cook karne ki keemat par nahi aata. Answer: flux limit — forbidden.

Neeche wala figure m/s hold karke log axis par altitude ke versus flux (magenta) dikhata hai. Dashed navy line (1135 limit) follow karo: violet dot exactly wahan baitha hai jahan curve use cross karti hai — 131 km par optimum. Orange dot par 121 km par left slide karo aur upar padho: curve sirf 10 km mein factor se chadh gayi. Curve ki near-vertical steepness hi exponential atmosphere hai, aur yeh visual reason hai ki safe/forbidden boundary itni sharp kyun hai. (Alt text: logarithmic vertical axis par heat flux 100 se 150 km altitude tak steeply girta hua; ek dashed navy line 1135 W/m² limit mark karti hai; violet dot 131 km par line par baitha hai, orange dot 121 km par forbidden region mein us se approximately 3.85× upar baitha hai.)

Figure — Fairing separation — altitude, dynamic pressure requirements

Level 5 — Mastery

Open-ended optimisation jo har thread ko ek saath uthati hai.

L5.1 — The constrained optimum

Prove karo, parent note ke Δv-loss expression aur heating constraint use karke, ki optimal jettison time exactly tab hai jab — na pehle na baad — aur words mein explain karo kyun optimum boundary par baitha hai.

Recall Solution

Do competing effects ko jettison altitude ke functions ki tarah set up karo:

  1. Δv benefit mein monotonically decreasing hai. Δv shed karne se save hota hai: jitna pehle (lower ) drop karo, utni der tak halka fly karte ho, isliye badhne par decreases karta hai. Koi interior maximum nahi hai — benefit sirf chhota chahta hai.
  2. Heating constraint ek hard floor hai. ke saath decreases karta hai. Payload sirf wahan survive karta hai jahan , yaani .

Combine karo: hum "wasted Δv" minimize karte hain (equivalently Δv saved maximize karte hain) subject to . Objective ko neeche push karta hai; constraint use par rokti hai. Ek half-line par strictly monotone objective ka minimiser endpoint par baitha hota hai. Isliye optimum exactly hai, jahan . Boundary kyun: jab bhi koi benefit strictly ek direction favour kare aur safety use block kare, sabse best yahi hai ki seedha wall se lag jaao. Pehle drop karna safety violate karta hai; baad mein drop karna bina wajah Δv throw away karta hai. Equality hi optimum hai. Yeh Ascent Trajectory Optimization se connect karta hai: poora trajectory is tarah shape kiya jaata hai taaki yeh boundary jitni jaldi climb allow kare utni jaldi reach ho.

L5.2 — Robustness to atmosphere uncertainty

Scale height actually hai (din/raat, solar activity). L4.1 ke numbers (, ) use karke, par jettison-altitude spread nikalo. Conservative design choice kaun sa extreme hai, aur kyun?

Recall Solution

Required density fixed hai (yeh sirf aur flux limit par depend karta hai): L4.1 se. Sirf inversion shift karti hai, aur pure-number log constant hai. Spread: approximately se tak — ek band, jo parent note mein quoted "110–140 km" range se match karta hai. Conservative choice: bada matlab atmosphere zyada altitude tak denser rehta hai, isliye usi low density tak pahunchne ke liye zyada upar wait karna padta hai. km ke liye design karna (jettison km par) "puffy" atmosphere wale din bhi safety guarantee karta hai; payload kabhi over-heated nahi hoga, thodi extra Δv ki keemat par. Safety dominate karti hai → high end choose karo. Answer: ; conservatively km ke liye design karo.

L5.3 — Full mission synthesis

Ek launcher flux limit par pass karta hai. (a) Standing constants se jettison altitude nikalo. (b) Uske upper stage mein , , , hai; early jettison se Δv gain nikalo. (c) Ek sentence mein batao ki fairing trajectory par kahan jaani chahiye aur kyun.

Recall Solution

(a) Altitude. Required density: Density law invert karo (result km mein): (b) Δv gain. . Carry-through: Drop early: Gain: . (c) Decision: fairing exactly km par jettison karo, jis pal 1135 W/m² tak girta hai — woh earliest altitude jo thermally safe hai, jo L5.1 ke hisaab se Δv-optimal point bhi hai. Answer: ; Δv gain ; flux-limit boundary par drop karo.


Recall Har level ka ek-line summary

L1: aur mein plug in karo. L2: altitude ke liye rearrange karo, rocket equation apply karo. L3: speed ko dominate karta hai; limit handle karo. L4: exponential density constraint ko sharp banata hai. L5: optimum exactly heating boundary par hai aur tum conservative (large-) extreme ke liye design karte ho.