3.4.21 · D3Rocket Flight Mechanics

Worked examples — Aerodynamic heating during reentry — stagnation point heat flux Chapman equation

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Every symbol used below is already defined in the parent note. As a one-line reminder so you never have to scroll:


The scenario matrix

Every question this formula can throw is one of these case classes. The final column names the worked example that covers that cell.

# Case class What is being tested Covered by
A Baseline full calculation Plug all three knobs, get a number Example 1
B Scale one knob up/down (ratios) sensitivity — "double the speed" Example 2
C Scale nose radius (ratios) sensitivity — bluntness Example 3
D Zero / degenerate input , , , limits Example 4
E Limiting behaviour along a trajectory Falling × rising → a peak (derived) Example 5
F Inverse problem Given , solve for a knob Example 6
G Real-world word problem Mars entry, unit juggling Example 7
H Exam-style twist Convective vs radiative crossover Example 8

We work them in order. Cells D and E get figures because their behaviour is geometric (curves, limits).


Example 1 — Cell A: the baseline plug-in

Step 1 — Cube the speed. Why this step? enters as , so it must be cubed as a whole — cube first, keep the powers of ten tidy.

Step 2 — Take the two square roots. Why this step? Both appear under a root; doing them separately keeps the arithmetic honest (parent's advice).

Step 3 — Assemble. Why this step? Multiply left-to-right; the carries the magnitude.

Step 4 — Convert.


Example 2 — Cell B: double the speed

Step 1 — Use the ratio, not a fresh calculation. Why this step? Everything else is unchanged, so it cancels — you never re-plug or . Ratios are the fast, error-proof way.

Step 2 — Apply.


Example 3 — Cell C: quadruple the nose radius

Step 1 — Ratio again. Why this step? sits under a root in the denominator, so a factor-4 growth becomes a factor-2 shrink — the sign of the exponent tells the direction.

Step 2 — Apply.


Example 4 — Cell D: zero and degenerate inputs

How to read the figure below. The horizontal axis is speed (arbitrary units); the vertical axis is the stagnation flux in the same arbitrary units, with and held fixed. The red curve is the cube . The one black dot marks the origin, the limit we test in Step 1 — notice the curve leaves it perfectly flat (its slope is zero there) before climbing steeply. The figure is the picture of Steps 1 and the "climbs as a cube" fact; the , limits are algebra we do beneath it.

Figure — Aerodynamic heating during reentry — stagnation point heat flux Chapman equation

Step 1 — (vehicle at rest). Why this step? No motion → no ordered kinetic energy to dump → no convective heating. On the figure this is the red curve touching down at the black dot at the origin. ✔

Step 2 — (vacuum / above the atmosphere). Why this step? No gas means no molecules to shock and no medium to carry heat to the wall — convective heating literally needs a fluid. This is why a satellite in orbit doesn't burn despite : up there is essentially . ✔

Step 3 — (perfectly flat nose). Treat as a function of only (fix ) and take the formal limit: Why this step? . Physically: an infinite radius means the velocity gradient , the boundary layer grows without bound, and heat can't diffuse across it. Blunter is always cooler — taken to the extreme, flat is coolest. ✔

Step 4 — (perfectly sharp nose). Same one-variable function, opposite end: Why this step? As the denominator shrinks toward zero the fraction grows without bound. The formula predicts an idealised sharp nose melts instantly — the maths behind "never fly a sharp reentry nose." ✔


Example 5 — Cell E: the peak along a real descent (derived)

Before we touch calculus, we must fix every symbol and its units, because this example juggles four separate quantities that all look alike. Here is the complete bookkeeping.

Step 0 — Derive the speed–density relation (Allen–Eggers), and its domain. For a steep ballistic entry we assume: (i) gravity is negligible next to drag, (ii) the flight-path angle stays constant (a straight-line plunge), (iii) lift is zero. Newton's second law along the path is then just drag, Why introduce ? It bundles the vehicle's mass , drag coefficient and frontal area into one number, so the equation depends on the vehicle only through .

Change the independent variable from time to altitude using the geometry of a straight dive, (falling, so decreases as grows). Substituting removes : Now use the atmosphere model , whose differential is , i.e. . This is exactly where the scale height enters — it is the conversion factor between an altitude step and a density step . Substituting: Integrate from entry (where high up, ) down to a general : Domain of validity: steep, high-speed, drag-dominated, constant- descent — the classic Allen–Eggers regime. It breaks down for shallow lifting entries (Shuttle-type) where varies and gravity matters. Note now sits inside the exponent, so it will carry through to the answer.

Step 1 — Write the flux as a function of the single variable . Insert into (writing , a constant here): Why this step? To maximise we need as a function of one variable; is that variable and rides on it. Define the shorthand (units , so is dimensionless — a good units check).

Step 2 — Differentiate and set to zero. With , Why this step? Product rule on and . The exponential and never vanish for , so the peak sits where the bracket is zero.

Step 3 — Solve for , keeping explicit. Why this step? The bracket is linear in , so it has a single root — one interior peak, exactly as forecast. The scale height appears in the denominator because it entered through ; there is no separate "" — it was always this one . The 3 is the ghost of the exponent on . Units check: ✔ — a density, as it must be.

Step 4 — Convert the peak density back to an altitude (the actual question). The question asked where along the fall, i.e. an altitude, not a density. Invert the atmosphere model : Plug : Why this step? This is the piece the earlier draft skipped. It turns the abstract into a real altitude the engineer can point to on the trajectory. Because is a small density, the logarithm is large and positive, so is high up — confirming the forecast.

Step 5 — Sanity number. Take Earth-ish values , , , so . Then and Why this step? A concrete altitude (~44 km, high in the stratosphere) makes "intermediate, high up" tangible — well above the ~10 km where a ballistic capsule feels peak g-load.

How to read the figure below. Horizontal axis: descent depth (0 = top of atmosphere, 1 = deep). Vertical axis: each quantity normalised to its own maximum so all three fit. Black dashed = the rising factor ; black dotted = the falling factor ; the red curve is their product , and the red dot marks the interior maximum we just solved for algebraically.

Figure — Aerodynamic heating during reentry — stagnation point heat flux Chapman equation

Example 6 — Cell F: inverse problem (solve for a knob)

Step 1 — Rearrange the formula for . Starting from , isolate the root: Why this step? The unknown lives under a root in the denominator; solve algebraically so we can plug once.

Step 2 — Compute the numerator group. Why this step? This is the "flux the nose would feel if " — a handy intermediate.

Step 3 — Divide and square.


Example 7 — Cell G: real-world word problem (Mars)

Step 1 — Convert speed to SI. , so . Why this step? The formula is pure SI; a leftover "km" would inflate the answer by . This is the parent's top warning.

Step 2 — Roots. , .

Step 3 — Assemble.


Example 8 — Cell H: exam twist (convective vs radiative crossover)

Step 1 — Set them equal (symbolically). Group all the fixed pieces into constants and (so are now buried inside the single number ). Then Why this step? Collecting powers ( minus gives exponent ) turns two curves into one clean crossover equation. The messy exponents never resurface — only matters.

Step 2 — Numeric example. Suppose at some altitude the grouped constants come out to and (SI, so that is in with in metres). Then Why this step? A concrete crossover radius makes the trade-off tangible.

Step 3 — Interpret. For convective dominates (making it blunter helps). For radiative dominates (making it blunter now hurts). There is an optimum, not "blunter is always better."


Recall

Recall Test yourself on every cell

Doubling reentry speed multiplies by what factor? ::: . Quadrupling the nose radius does what to ? ::: Multiplies it by (halves it). Why doesn't an orbiting satellite ( km/s) burn up? ::: up there, so — no gas to shock or carry heat. What does the formula predict for a perfectly sharp nose ()? ::: — it diverges, so sharp reentry noses are forbidden. Where is the peak of located as a density, and how do you find it? ::: Differentiate w.r.t. , set to zero, get . How do you turn that peak density into an altitude? ::: Invert to get — a high altitude. Why does peak heating occur higher than peak deceleration? ::: (falling) collapses faster than (rising), so the product peaks early, high up. For very blunt noses, which heating eventually dominates? ::: Radiative — it grows as while convective falls as ; they cross at .