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.

Solution by Claude Opus 4.7.

Overview

The problem stitches together three classical pieces of pipe-flow physics:

  1. The Reynolds number as a competition between two drag mechanisms. Laminar wall friction scales as μv/D\mu v/D while turbulent wall friction scales as ρv2\rho v^2; their ratio is dimensionless and is the Reynolds number ReRe.
  2. Turbulent friction is quadratic in flow speed. Once δD\delta\ll D, the wall stress sits at the dynamic-pressure scale ρv2\rho v^2, so the pressure drop along a hose of fixed geometry obeys Δpfv2Q2\Delta p_f \propto v^2 \propto Q^2. This is what allows us to calibrate the friction from a single operating point of the pump and then extrapolate it to a new flow rate.
  3. A nozzle is just an accelerator. Squeezing the cross-section by a factor ff multiplies the exit speed by 1/f1/f (continuity), the exit kinetic-energy density by 1/f21/f^2, and the stagnation pressure that the jet deposits on a wall by the same factor. The price is paid in flow rate, because pumping fluid through a high-KE jet is energetically expensive.

The physical small/large parameters in the numerical part are

ρghP/Q0    13,12ρv02P/Q0    0.008,1f2    44,\frac{\rho g h}{P/Q_0}\;\approx\;\tfrac{1}{3},\qquad \frac{\tfrac{1}{2}\rho v_0^2}{P/Q_0}\;\approx\;0.008,\qquad \frac{1}{f^2}\;\approx\;44,

which tells us up front that (a) friction in the hose dominates the no-nozzle pressure budget, (b) the kinetic-energy term is utterly negligible without the nozzle, and (c) the nozzle promotes the kinetic-energy term to the leading channel for energy loss, comparable in size to friction.


Part (i) — Reynolds number from drag-force scales

Estimating the laminar drag

The laminar drag per unit area is FL=μdu/drF_L = \mu\,du/dr. 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

dudr    vDFL    μvD.\frac{du}{dr}\;\sim\;\frac{v}{D}\qquad\Longrightarrow\qquad F_L\;\sim\;\frac{\mu v}{D}.

Estimating the turbulent drag

The problem hands us FTρv2F_T \sim \rho v^2 directly: the dynamic pressure carried by the vortices that batter the wall.

The ratio

The Reynolds number is the ratio of these two scales:

R  =  FTFL    ρv2μv/D  =  ρvDμ.R\;=\;\frac{F_T}{F_L}\;\sim\;\frac{\rho v^2}{\mu v/D}\;=\;\frac{\rho v D}{\mu}.

Reading off the powers,

  R  =  ρ1v1D1μ1  \boxed{\;R\;=\;\rho^{1}\,v^{1}\,D^{1}\,\mu^{-1}\;}

Educational remark

The same answer emerges from pure dimensional analysis: ρ\rho, vv, DD, μ\mu have units that admit a single dimensionless monomial up to a power, and that monomial is ρvD/μ\rho v D/\mu. The mechanistic argument above is what justifies naming this group “the ratio of turbulent to laminar drag” — the dimensional answer alone would not commit to a physical interpretation. Note also that RR is built only from bulk quantities; the boundary-layer thickness δ\delta that appears inside the turbulent-drag picture has cancelled out, since μv/δρv2\mu v/\delta \sim \rho v^2 implies δμ/(ρv)=D/R\delta \sim \mu/(\rho v) = D/R, which is a consequence of RR, not an independent input.


Part (ii) — Flow type in the hose

Plugging in numbers

The mean speed in the hose is

v0  =  QA  =  4Qπd2.v_0\;=\;\frac{Q}{A}\;=\;\frac{4Q}{\pi d^{2}}.

With Q=25Lmin1=2560×103m3s1=4.167×104m3s1Q = 25\,\text{L}\cdot\text{min}^{-1} = \tfrac{25}{60}\times 10^{-3}\,\text{m}^{3}\cdot\text{s}^{-1} = 4.167\times 10^{-4}\,\text{m}^{3}\cdot\text{s}^{-1} and d=0.013md = 0.013\,\text{m},

A  =  π(0.013)24  =  1.327×104m2,v0    3.14ms1.A\;=\;\frac{\pi(0.013)^{2}}{4}\;=\;1.327\times 10^{-4}\,\text{m}^{2},\qquad v_0\;\approx\;3.14\,\text{m}\cdot\text{s}^{-1}.

The Reynolds number is

R  =  ρwv0dμw  =  1000×3.14×0.0131.1×103    3.7×104.R\;=\;\frac{\rho_w v_0 d}{\mu_w}\;=\;\frac{1000\times 3.14\times 0.013}{1.1\times 10^{-3}}\;\approx\;3.7\times 10^{4}.

Conclusion

Since R3.7×1042500R \approx 3.7\times 10^{4} \gg 2500, the flow in the hose is

  turbulent.  \boxed{\;\text{turbulent.}\;}

Physical remark

R4×104R \sim 4\times 10^{4} is well into the developed-turbulence regime. The boundary-layer thickness implied by the heuristic δD/R\delta\sim D/R is only

δ    dR    0.0133.7×104    0.3μm,\delta\;\sim\;\frac{d}{R}\;\sim\;\frac{0.013}{3.7\times 10^{4}}\;\sim\;0.3\,\mu\text{m},

confirming δd\delta \ll d, so the assumption that velocity is essentially uniform across the cross-section (with a thin near-wall transition) is excellent. This is precisely why we may treat the kinetic-energy density of the flow as 12ρv2\tfrac{1}{2}\rho v^2 with v=Q/Av = Q/A in part (iii) without a “kinetic-energy correction factor”.


Part (iii) — Adding the nozzle

The energy budget of one operating point

Take the pump as a black box that delivers a fixed output power PP to the fluid, regardless of operating point. Per unit time, this power must pay for three things:

TermPer unit volumeWhy
Lifting water by hhρgh\rho g hSource is at depth hh, exit is at the gardener
Wall friction in the hoseΔpf\Delta p_fTurbulent dissipation along ss
Kinetic energy of the exiting jet12ρvexit2\tfrac{1}{2}\rho v_\text{exit}^{2}Water leaves with this KE; never recovered

A Bernoulli accounting from the still water in the well (atmospheric pressure, height h-h, speed 0\approx 0) to the free jet (atmospheric pressure, height 00, speed vexitv_\text{exit}), with the pump pressure rise Δppump\Delta p_\text{pump} and the friction loss Δpf\Delta p_f both in the line, gives

Δppump  =  ρgh  +  Δpf  +  12ρvexit2,\Delta p_\text{pump}\;=\;\rho g h\;+\;\Delta p_f\;+\;\tfrac{1}{2}\rho v_\text{exit}^{2},

and multiplying by QQ converts this to the power balance

P  =  Q ⁣[ρgh  +  Δpf  +  12ρvexit2].()P\;=\;Q\!\left[\rho g h\;+\;\Delta p_f\;+\;\tfrac{1}{2}\rho v_\text{exit}^{2}\right]. \tag{$\star$}

Modelling the friction

For turbulent flow, the wall stress at the dynamic-pressure scale ρvh2\rho v_h^2 (with vh=Q/Av_h = Q/A the hose mean speed) gives

Δpf  =  k2ρvh2,k    dimensionless friction coefficient (constant in v).\Delta p_f\;=\;\frac{k}{2}\,\rho v_h^{2}, \qquad k\;\equiv\;\text{dimensionless friction coefficient (constant in $v$).}

The numerical constant kk depends on the hose’s length-to-diameter ratio and roughness in ways the problem has not handed us — but we do not need to derive it from first principles, because the no-nozzle operating point of the pump measures it.

Calibrating the friction from the baseline

In the no-nozzle case vexit=vh=v0v_\text{exit} = v_h = v_0, so ()(\star) becomes

PQ0  =  ρgh  +  k+12ρv02.\frac{P}{Q_0}\;=\;\rho g h\;+\;\frac{k+1}{2}\,\rho v_0^{2}.

Numerical evaluation with P=250WP = 250\,\text{W} and Q0=4.167×104m3/sQ_0 = 4.167\times 10^{-4}\,\text{m}^{3}/\text{s}:

PQ0  =  6.00×105Pa,ρgh  =  1.96×105Pa,12ρv02  =  4.93×103Pa.\frac{P}{Q_0}\;=\;6.00\times 10^{5}\,\text{Pa},\qquad \rho g h\;=\;1.96\times 10^{5}\,\text{Pa},\qquad \tfrac{1}{2}\rho v_0^{2}\;=\;4.93\times 10^{3}\,\text{Pa}.

Solving for kk:

(k+1)12ρv02  =  PQ0ρgh  =  4.04×105Pa,(k+1)\,\tfrac{1}{2}\rho v_0^{2}\;=\;\frac{P}{Q_0}\,-\,\rho g h\;=\;4.04\times 10^{5}\,\text{Pa}, k+1  =  4.04×1054.93×103    81.97,k    80.97.k+1\;=\;\frac{4.04\times 10^{5}}{4.93\times 10^{3}}\;\approx\;81.97, \qquad k\;\approx\;80.97.

So in the no-nozzle case roughly 33%33\,\% of the pump’s power goes to lifting the water, 67%67\,\% to wall friction, and well under 1%1\,\% to exit kinetic energy. The gardener’s hose is, energetically, a heater.

The same balance with a nozzle

The nozzle reduces the exit area to fAfA. In steady flow continuity demands Q1=vhA=vexitfAQ_1 = v_h A = v_\text{exit}\,fA, so

vexit  =  vhf.v_\text{exit}\;=\;\frac{v_h}{f}.

The friction inside the hose is still set by vhv_h (the hose geometry has not changed and the nozzle is short), but the kinetic-energy term now uses the exit speed. Equation ()(\star) becomes

P  =  Q1 ⁣[ρgh  +  k2ρvh2  +  12f2ρvh2]  =  Q1 ⁣[ρgh  +  k+1/f22ρvh2].P\;=\;Q_1\!\left[\rho g h\;+\;\frac{k}{2}\,\rho v_h^{2}\;+\;\frac{1}{2 f^{2}}\,\rho v_h^{2}\right] \;=\;Q_1\!\left[\rho g h\;+\;\frac{k+1/f^{2}}{2}\,\rho v_h^{2}\right].

Defining the unknown ratio

α    Q1Q0  =  vh,1v0,\alpha\;\equiv\;\frac{Q_1}{Q_0}\;=\;\frac{v_{h,1}}{v_0},

and using vh,1=αv0v_{h,1} = \alpha v_0, the balance reads

PQ0  =  ρghα  +  (k+1/f2)12ρv02α3.()\frac{P}{Q_0}\;=\;\rho g h\,\alpha\;+\;(k+1/f^{2})\,\tfrac{1}{2}\rho v_0^{2}\,\alpha^{3}. \tag{$\star\star$}

The cubic-in-α\alpha structure is the only complication that distinguishes this from the no-nozzle case. It comes from the kinetic-energy and friction terms scaling as vh2v_h^2 once Q1=αQ0Q_1 = \alpha Q_0 is factored out.

Reducing to a numerical cubic

With 1/f2=1/0.15244.441/f^{2} = 1/0.15^{2} \approx 44.44,

k+1f2    80.97+44.44    125.42,k\,+\,\tfrac{1}{f^{2}}\;\approx\;80.97 + 44.44\;\approx\;125.42, (k+1/f2)12ρv02    125.42×4.928×103Pa    6.181×105Pa.(k+1/f^{2})\,\tfrac{1}{2}\rho v_0^{2}\;\approx\;125.42\times 4.928\times 10^{3}\,\text{Pa}\;\approx\;6.181\times 10^{5}\,\text{Pa}.

Plugging into ()(\star\star), with P/Q0=6.000×105PaP/Q_0 = 6.000\times 10^{5}\,\text{Pa} and ρgh=1.960×105Pa\rho g h = 1.960\times 10^{5}\,\text{Pa}:

6.181×105α3  +  1.960×105α    6.000×105  =  0.6.181\times 10^{5}\,\alpha^{3}\;+\;1.960\times 10^{5}\,\alpha\;-\;6.000\times 10^{5}\;=\;0.

Solving the cubic

A natural starting estimate ignores gravity and friction’s adjustment, treating α1\alpha\approx 1 as the seed. Newton’s iteration with f(α)=6.181×105α3+1.960×105α6.000×105f(\alpha) = 6.181\times 10^{5}\alpha^{3}+1.960\times 10^{5}\alpha-6.000\times 10^{5} and f(α)=1.854×106α2+1.960×105f'(\alpha) = 1.854\times 10^{6}\alpha^{2}+1.960\times 10^{5} converges quickly:

  • f(1.000)=6.181×105+1.960×1056.000×105=2.141×105f(1.000) = 6.181\times 10^{5}+1.960\times 10^{5}-6.000\times 10^{5} = 2.141\times 10^{5}
  • f(0.900)=4.508×105+1.764×1056.000×105=2.71×104f(0.900) = 4.508\times 10^{5}+1.764\times 10^{5}-6.000\times 10^{5} = 2.71\times 10^{4}
  • f(0.884)2.5×102f(0.884) \approx 2.5\times 10^{2}
  • f(0.8838)6f(0.8838) \approx 6

To within better than 1%1\,\%,

  α  =  Q1Q0    0.884.  \boxed{\;\alpha\;=\;\frac{Q_1}{Q_0}\;\approx\;0.884.\;}

So the volumetric flow rate falls by about 11.6%11.6\,\% once the nozzle is fitted: Q122.1Lmin1Q_1 \approx 22.1\,\text{L}\cdot\text{min}^{-1}.

Sanity check that the flow is still turbulent

The hose Reynolds number is now

R1  =  αR0    0.884×3.7×104    3.3×104,R_1\;=\;\alpha R_0\;\approx\;0.884\times 3.7\times 10^{4}\;\approx\;3.3\times 10^{4},

still well above 25002500, so the Δpfv2\Delta p_f \propto v^2 scaling we used for the friction is consistent with the operating regime. (At the nozzle exit the Reynolds number based on the smaller diameter dfd\sqrt{f} and larger speed vh/fv_h/f is even higher, 9×104\sim 9\times 10^{4}, so the jet is also fully turbulent — but we never relied on that, since we ignored friction inside the short nozzle itself.)

Excess pressure on the dirty surface

When a free jet of speed vjetv_\text{jet} at atmospheric pressure patmp_\text{atm} strikes a perpendicular surface, the streamline that passes through the stagnation point on the surface decelerates to rest. Bernoulli along that streamline gives

patm  +  12ρvjet2  =  pstag,p_\text{atm}\;+\;\tfrac{1}{2}\rho v_\text{jet}^{2}\;=\;p_\text{stag},

so the excess pressure at the dirty surface above atmospheric is

Δpexcess  =  pstagpatm  =  12ρvjet2.\Delta p_\text{excess}\;=\;p_\text{stag}-p_\text{atm}\;=\;\tfrac{1}{2}\rho v_\text{jet}^{2}.

This is the pressure that does the cleaning. (Off the stagnation point the streamline pressure is lower, but the central stagnation pressure is the relevant scale for “force on the dirt directly under the jet”.)

Without a nozzle vjet=v0v_\text{jet} = v_0, with a nozzle vjet=vh,1/f=αv0/fv_\text{jet} = v_{h,1}/f = \alpha v_0/f. The ratio is

Δpexcess,1Δpexcess,0  =  vjet,12vjet,02  =  α2f2.\frac{\Delta p_\text{excess,1}}{\Delta p_\text{excess,0}}\;=\;\frac{v_\text{jet,1}^{2}}{v_\text{jet,0}^{2}}\;=\;\frac{\alpha^{2}}{f^{2}}.

Plugging in α=0.8838\alpha = 0.8838, f=0.15f = 0.15:

α2f2  =  0.78110.02250    34.7.\frac{\alpha^{2}}{f^{2}}\;=\;\frac{0.7811}{0.02250}\;\approx\;34.7.

Hence

  Δpexcess,1Δpexcess,0    34.7.  \boxed{\;\frac{\Delta p_\text{excess,1}}{\Delta p_\text{excess,0}}\;\approx\;34.7.\;}

In absolute terms the cleaning pressure rises from Δpexcess,0=12ρv024.9kPa\Delta p_\text{excess,0} = \tfrac{1}{2}\rho v_0^2 \approx 4.9\,\text{kPa} to Δpexcess,11.7×105Pa1.7bar\Delta p_\text{excess,1} \approx 1.7\times 10^{5}\,\text{Pa} \approx 1.7\,\text{bar} — a couple of atmospheres of overpressure on the dirt, which is what makes nozzles useful.

Educational remarks

Why the gain in cleaning pressure (35×\sim 35\times) is less than the naive geometric factor (1/f244×1/f^{2}\approx 44\times). Continuity alone would suggest vexit/v0=1/f6.7v_\text{exit}/v_0 = 1/f \approx 6.7, hence Δpexcessv2\Delta p_\text{excess} \propto v^2 should rise by 1/f2441/f^2 \approx 44. The actual gain is smaller because the flow rate itself drops by α0.884\alpha \approx 0.884, and the pressure factor goes as α2/f2\alpha^2/f^2. The closure of the budget is: when you ask the pump to push water through a much higher kinetic-energy channel, the pump cannot maintain the same QQ at fixed PP, so it backs off slightly and finds a new operating point.

The slow approach to the “blocked-pipe” limit. Suppose we shrank ff further. Equation ()(\star\star) predicts αf2/3\alpha \propto f^{2/3} in the small-ff limit (because the kinetic-energy term then dominates), so Δpexcessα2/f2f2/3\Delta p_\text{excess} \propto \alpha^2/f^2 \propto f^{-2/3}. The cleaning pressure does not diverge as 1/f21/f^2 would suggest — the pump’s finite power tames it. Practically, this means that there are diminishing returns to going to ever-narrower nozzles.

Why we may treat the pump as a constant-power source. The problem hands us “output power P=250WP = 250\,\text{W}” without a pump curve. In the language of pump engineering this is the simplest constant-power model: the pump moves the operating point along the hyperbola ΔpQ=P\Delta p \cdot Q = P. A real centrifugal pump has a more complex H–Q curve, but the constant-power idealisation is the only model that uses no information beyond what is given, and it is precisely consistent with the way PP enters energy balance ()(\star).

Why we ignored friction inside the nozzle. The nozzle is short (its length is of order its diameter, both \sim a centimetre at most), so its friction-loss contribution scales as Δpfnozzle4ρvexit2Ln/dn4ρvexit2O(1)\Delta p_f^\text{nozzle}\sim 4\rho v_\text{exit}^2 \cdot L_n/d_n \sim 4\rho v_\text{exit}^2 \cdot O(1). Numerically that is at most a few times ρvexit2\rho v_\text{exit}^2 — comparable to the kinetic-energy term up to a numerical factor. Without a stated nozzle length, attempting to keep this term invents a free parameter; standard physics-Olympiad practice is to take the nozzle as a short, frictionless transition. The flat 1%1\,\% accuracy target is consistent with this approximation.

A consistency check on the budget at the new operating point. At α=0.884\alpha = 0.884,

PQ1  =  P/Q0α    6.79×105Pa.\frac{P}{Q_1}\;=\;\frac{P/Q_0}{\alpha}\;\approx\;6.79\times 10^{5}\,\text{Pa}.

Allocating: gravity ρgh=1.96×105Pa\rho g h = 1.96\times 10^5\,\text{Pa} (29%29\%), friction k2ρvh,12=k12ρv02α280.97×4928×0.7813.12×105Pa\frac{k}{2}\rho v_{h,1}^2 = k\cdot \tfrac{1}{2}\rho v_0^2\cdot\alpha^2 \approx 80.97\times 4928 \times 0.781 \approx 3.12\times 10^5\,\text{Pa} (46%46\%), exit KE 12f2ρvh,1244.44×4928×0.7811.71×105Pa\frac{1}{2f^2}\rho v_{h,1}^2 \approx 44.44\times 4928 \times 0.781 \approx 1.71\times 10^5\,\text{Pa} (25%25\%). Sum: 6.79×105Pa6.79\times 10^5\,\text{Pa}. ✓ The KE term has gone from <1%<1\% of the budget to a quarter of it — consistent with our headline observation that the nozzle promotes KE to a leading channel.


Summary of results

PartQuantitySymbolic answerNumerical
(i)Reynolds number from drag scalesR=ρvD/μR = \rho v D/\mu(dimensionless)
(ii)Flow type in the hoseR2500R \gg 2500 → turbulentR3.7×104R \approx 3.7\times 10^{4}
(iii)Flow-rate ratioα\alpha such that ρghα+(k+1/f2)ρv022α3=P/Q0\rho g h\,\alpha + (k+1/f^2)\tfrac{\rho v_0^2}{2}\alpha^3 = P/Q_0α0.884\alpha \approx 0.884
(iii)Excess-pressure ratioα2/f2\alpha^{2}/f^{2}34.7\approx 34.7