7. Water Hose 5 pts

Mechanics · Fluid dynamics, Dimensional analysis, Energy balance

Derive the Reynolds number from drag-force scaling, classify the flow in a garden hose, and compute how a nozzle changes the flow rate and the cleaning pressure.

Self-assessment by Claude Opus 4.7. 5.0 / 5.0

Part (i) — 1.5 / 1.5 pts

The official offers two grading paths. Claude follows the mechanistic “ratio of drag scales” route, so this is graded against Solution 1.

CriterionPointsResult
R=FT/FLρv2/[μdu/dr]R = F_T/F_L \sim \rho v^{2}/[\mu\,du/dr]0.5✓ "R=FT/FLρv2/(μv/D)R = F_T/F_L \sim \rho v^{2}/(\mu v/D)" set up explicitly as the ratio of the two drag-per-area scales
du/drv/Ddu/dr \sim v/D0.5✓ “Across the pipe radius the speed drops from v\sim v on the axis to 00 at the wall over a length of order DD, so du/drv/Ddu/dr \sim v/D
R=ρvD/μR = \rho v D/\mu0.5✓ Boxed R=ρ1v1D1μ1R = \rho^{1}v^{1}D^{1}\mu^{-1}, with the powers explicitly read off
Includes numerical factor >10> 10−0.2✓ Not applicable — Claude consistently uses \sim (no spurious numerical prefactor introduced)

Part (ii) — 0.5 / 0.5 pts

CriterionPointsResult
Compute the mean flow speed vv from QQ via continuity0.2v0=4Q/(πd2)3.14ms1v_{0} = 4Q/(\pi d^{2}) \approx 3.14\,\text{m}\cdot\text{s}^{-1}
Correctly evaluate R37000R \approx 370000.2R=ρwv0d/μw3.7×104R = \rho_{w} v_{0} d/\mu_{w} \approx 3.7\times 10^{4}
Conclude turbulent flow on the basis of R2500R \gg 25000.1✓ ”R3.7×1042500R \approx 3.7\times 10^{4} \gg 2500, the flow in the hose is turbulent”

Part (iii) — 3.0 / 3.0 pts

CriterionPointsResult
Power balance: gravity term ρgh\rho g h0.2✓ Tabulated as “Lifting water by hh, ρgh\rho g h” inside the per-unit-volume budget
Power balance: drag term Δpdrag\Delta p_\text{drag}0.2✓ “Wall friction in the hose, Δpf\Delta p_{f}” tabulated as the second budget line
Power balance: exit kinetic-energy term ρvexit2/2\rho v_\text{exit}^{2}/20.2✓ “Kinetic energy of the exiting jet, 12ρvexit2\tfrac{1}{2}\rho v_\text{exit}^{2}” tabulated as the third budget line
Identify Δpdrag=kv2\Delta p_\text{drag} = k v^{2} from turbulent-regime scaling0.3✓ ”Δpf=(k/2)ρvh2\Delta p_{f} = (k/2)\rho v_{h}^{2}, kk a dimensionless friction coefficient (constant in vv)” — equivalent to the official’s kv2kv^{2} form modulo the ρ/2\rho/2 packaging
Calibrate k4×104Pas2/m2k \approx 4\times 10^{4}\,\text{Pa}\cdot\text{s}^{2}/\text{m}^{2} from the unblocked case0.3✓ Claude’s dimensionless kC80.97k_{C} \approx 80.97 converts to the official’s units as ρkC/2=1000×80.97/24.05×104Pas2/m2\rho k_{C}/2 = 1000\times 80.97/2 \approx 4.05\times 10^{4}\,\text{Pa}\cdot\text{s}^{2}/\text{m}^{2}, matching the keyed value
Mass continuity giving Qm=QmQ_{m} = Q'_{m}0.3✓ “continuity demands Q1=vhA=vexitfAQ_{1} = v_{h}\,A = v_\text{exit}\,fA
vexit=v/fv'_\text{exit} = v'/f0.2✓ Boxed vexit=vh/fv_\text{exit} = v_{h}/f
Updated power balance with the kinetic-energy term boosted by 1/f21/f^{2}0.5✓ "P=Q1[ρgh+(k+1/f2)12ρvh2]P = Q_{1}[\rho g h + (k+1/f^{2})\tfrac{1}{2}\rho v_{h}^{2}]" — the 1/f21/f^{2} factor on the KE term carried explicitly into the cubic-in-α\alpha equation ()(\star\star)
Volumetric flow rate ratio Q/Q0.88Q'/Q \approx 0.88 within ±0.02\pm 0.020.4✓ Boxed α=Q1/Q00.884\alpha = Q_{1}/Q_{0} \approx 0.884, with the cubic residual at α=0.884\alpha = 0.884 down to 6Pa\sim 6\,\text{Pa} (0.001%)
Formula for excess-pressure ratio (vexit/v0)2(v'_\text{exit}/v_{0})^{2}0.2✓ "Δpexcess,1/Δpexcess,0=vjet,12/vjet,02=α2/f2\Delta p_\text{excess,1}/\Delta p_\text{excess,0} = v_\text{jet,1}^{2}/v_\text{jet,0}^{2} = \alpha^{2}/f^{2}"
Excess-pressure ratio 35\approx 35 within ±1\pm 10.5✓ Boxed α2/f234.7\alpha^{2}/f^{2} \approx 34.7
Accuracy >1%> 1\,\%−0.1✓ Not applicable — root accurate to 0.04%\sim 0.04\,\% on the cubic and 0.05%\sim 0.05\,\% on the cleaning-pressure ratio

Overall score: 5.0 / 5.0 pts — full marks

Numerical answers match the official key on every part: R3.7×104R \approx 3.7\times 10^{4} (exact match), turbulent classification (match), α0.884\alpha \approx 0.884 vs official 0.880.88 (match within tolerance), cleaning-pressure ratio 34.7\approx 34.7 vs official 35\approx 35 (match within tolerance).

Commentary

Where this solution goes beyond the grading scheme. The “Overview” front-loads three structural ideas — Reynolds number as the ratio of two drag scales, turbulent friction as a v2v^{2} law calibratable from one operating point, and the nozzle as an “accelerator” that buys cleaning pressure at the cost of flow rate — and quotes three dimensionless numbers ρgh/(P/Q0)1/3\rho gh/(P/Q_{0}) \approx 1/3, 12ρv02/(P/Q0)0.008\tfrac{1}{2}\rho v_{0}^{2}/(P/Q_{0}) \approx 0.008, 1/f2441/f^{2} \approx 44 that already tell the reader (a) friction dominates the unblocked budget, (b) the bare KE term is negligible, and (c) the nozzle promotes KE to the leading channel. Part (i) closes with an “Educational remark” deriving the same answer from pure dimensional analysis, then noting that δD/R=μ/(ρv)\delta \sim D/R = \mu/(\rho v) is a consequence of RR rather than an independent input. Part (ii) supplies the boundary-layer-thickness number δd/R0.3μm\delta \sim d/R \sim 0.3\,\mu\text{m} as an a posteriori check that the δd\delta \ll d assumption underpinning the ρv2\rho v^{2} wall-stress scaling is comfortably satisfied, and uses this to justify treating the kinetic-energy density as 12ρv2\tfrac{1}{2}\rho v^{2} in part (iii) without a kinetic-energy correction factor. Part (iii) carries the most extensive commentary: an explicit 33%/67%/<1% gravity/friction/KE breakdown of the unblocked pump budget (framing the gardener’s hose as “energetically, a heater”); a small-ff scaling argument that the cleaning pressure rises only as f2/3f^{-2/3} rather than f2f^{-2} once the kinetic-energy term saturates the budget (so there are diminishing returns to ever-narrower nozzles); a Reynolds-number sanity check at the new operating point (R13.3×104R_{1} \approx 3.3\times 10^{4}, plus a nozzle-exit Reynolds number 9×104\sim 9\times 10^{4}) confirming the Δpfv2\Delta p_{f} \propto v^{2} law remains valid throughout; an explicit justification for ignoring nozzle friction on the order-of-magnitude grounds Δpfnozzleρvexit2O(1)\Delta p_{f}^{\text{nozzle}} \sim \rho v_\text{exit}^{2}\cdot O(1) given an unspecified short nozzle length; a discussion of why the constant-power pump idealisation is the natural minimal model for the data given; and a final consistency check that re-allocates the new operating-point budget to gravity (29%), friction (46%), exit KE (25%) and verifies the sum closes to P/Q16.79×105PaP/Q_{1} \approx 6.79\times 10^{5}\,\text{Pa} — quantifying the headline observation that the KE term has gone from <1%<1\,\% to a quarter of the total.

Where the official solution is sharper. Three places. (1) The official’s part-(i) “Solution 2” supplies an independent dimensional-analysis derivation that explicitly sets up the system {r+m=0, d3rm+u=0, mu=0}\{r+m=0,\ d-3r-m+u=0,\ -m-u=0\} and resolves the residual one-parameter family by appealing to μ\mu entering the laminar drag with power 1-1. Claude mentions the dimensional-analysis path in a one-sentence aside but never works through this constraint argument; if a student attempted only Solution 2, the constraint step is exactly the subtle point the grading scheme explicitly weights at 0.3 pts. (2) The cubic in part (iii) is recast in dimensionless form x[a+(b+c/f2)x2]=1x[a + (b + c/f^{2})x^{2}] = 1 with aa, bb, cc identified as the unblocked gravity/friction/KE fractions of the pump budget — and from there b/c81b/c \approx 81 but c/f2bc/f^{2} \approx b makes it visually obvious why the friction and boosted-KE contributions are now comparable. Claude has the same fractions (33%/67%/<1%) but only in dimensional form, and his cubic remains in pressure units throughout. The official’s three-fraction normalisation is genuinely slicker pedagogy. (3) The official solves the cubic by the fixed-point iteration x=(0.9720.318x)1/3x = (0.972 - 0.318 x)^{1/3}, displaying the four-step convergence trajectory 10.8680.8860.8840.8841 \to 0.868 \to 0.886 \to 0.884 \to 0.884 — a self-contained recipe a student can reproduce on a calculator. Claude uses Newton’s method and tabulates four function values without writing out the derivative recomputation per step; the algebra is correct but the official’s iteration is more transparent for a hand-computed problem.