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:
The Reynolds number as a competition between two drag mechanisms. Laminar wall friction scales as μv/D while turbulent wall friction scales as ρv2; their ratio is dimensionless and is the Reynolds number Re.
Turbulent friction is quadratic in flow speed. Once δ≪D, the wall stress sits at the dynamic-pressure scale ρv2, so the pressure drop along a hose of fixed geometry obeys Δpf∝v2∝Q2. 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.
A nozzle is just an accelerator. Squeezing the cross-section by a factor f multiplies the exit speed by 1/f (continuity), the exit kinetic-energy density by 1/f2, 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
P/Q0ρgh≈31,P/Q021ρv02≈0.008,f21≈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/dr. Across the pipe radius the speed drops from ∼v on the axis to 0 at the wall over a length of order D, so
drdu∼Dv⟹FL∼Dμv.
Estimating the turbulent drag
The problem hands us FT∼ρv2 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=FLFT∼μv/Dρv2=μρvD.
Reading off the powers,
R=ρ1v1D1μ−1
Educational remark
The same answer emerges from pure dimensional analysis: ρ, v, D, μ have units that admit a single dimensionless monomial up to a power, and that monomial is ρvD/μ. 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 R is built only from bulk quantities; the boundary-layer thickness δ that appears inside the turbulent-drag picture has cancelled out, since μv/δ∼ρv2 implies δ∼μ/(ρv)=D/R, which is a consequence of R, not an independent input.
Part (ii) — Flow type in the hose
Plugging in numbers
The mean speed in the hose is
v0=AQ=πd24Q.
With Q=25L⋅min−1=6025×10−3m3⋅s−1=4.167×10−4m3⋅s−1 and d=0.013m,
A=4π(0.013)2=1.327×10−4m2,v0≈3.14m⋅s−1.
The Reynolds number is
R=μwρwv0d=1.1×10−31000×3.14×0.013≈3.7×104.
Conclusion
Since R≈3.7×104≫2500, the flow in the hose is
turbulent.
Physical remark
R∼4×104 is well into the developed-turbulence regime. The boundary-layer thickness implied by the heuristic δ∼D/R is only
δ∼Rd∼3.7×1040.013∼0.3μm,
confirming δ≪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 21ρv2 with v=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 powerP to the fluid, regardless of operating point. Per unit time, this power must pay for three things:
Term
Per unit volume
Why
Lifting water by h
ρgh
Source is at depth h, exit is at the gardener
Wall friction in the hose
Δpf
Turbulent dissipation along s
Kinetic energy of the exiting jet
21ρvexit2
Water leaves with this KE; never recovered
A Bernoulli accounting from the still water in the well (atmospheric pressure, height −h, speed ≈0) to the free jet (atmospheric pressure, height 0, speed vexit), with the pump pressure rise Δppump and the friction loss Δpf both in the line, gives
Δppump=ρgh+Δpf+21ρvexit2,
and multiplying by Q converts this to the power balance
P=Q[ρgh+Δpf+21ρvexit2].(⋆)
Modelling the friction
For turbulent flow, the wall stress at the dynamic-pressure scale ρvh2 (with vh=Q/A the hose mean speed) gives
Δpf=2kρvh2,k≡dimensionless friction coefficient (constant in v).
The numerical constant k 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=v0, so (⋆) becomes
Q0P=ρgh+2k+1ρv02.
Numerical evaluation with P=250W and Q0=4.167×10−4m3/s:
So in the no-nozzle case roughly 33% of the pump’s power goes to lifting the water, 67% to wall friction, and well under 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 fA. In steady flow continuity demands Q1=vhA=vexitfA, so
vexit=fvh.
The friction inside the hose is still set by vh (the hose geometry has not changed and the nozzle is short), but the kinetic-energy term now uses the exit speed. Equation (⋆) becomes
The cubic-in-α structure is the only complication that distinguishes this from the no-nozzle case. It comes from the kinetic-energy and friction terms scaling as vh2 once Q1=αQ0 is factored out.
Plugging into (⋆⋆), with P/Q0=6.000×105Pa and ρgh=1.960×105Pa:
6.181×105α3+1.960×105α−6.000×105=0.
Solving the cubic
A natural starting estimate ignores gravity and friction’s adjustment, treating α≈1 as the seed. Newton’s iteration with f(α)=6.181×105α3+1.960×105α−6.000×105 and f′(α)=1.854×106α2+1.960×105 converges quickly:
f(1.000)=6.181×105+1.960×105−6.000×105=2.141×105
f(0.900)=4.508×105+1.764×105−6.000×105=2.71×104
f(0.884)≈2.5×102
f(0.8838)≈6
To within better than 1%,
α=Q0Q1≈0.884.
So the volumetric flow rate falls by about 11.6% once the nozzle is fitted: Q1≈22.1L⋅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,
still well above 2500, so the Δpf∝v2 scaling we used for the friction is consistent with the operating regime. (At the nozzle exit the Reynolds number based on the smaller diameter df and larger speed vh/f is even higher, ∼9×104, 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 vjet at atmospheric pressure patm strikes a perpendicular surface, the streamline that passes through the stagnation point on the surface decelerates to rest. Bernoulli along that streamline gives
patm+21ρvjet2=pstag,
so the excess pressure at the dirty surface above atmospheric is
Δpexcess=pstag−patm=21ρvjet2.
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=v0, with a nozzle vjet=vh,1/f=αv0/f. The ratio is
Δpexcess,0Δpexcess,1=vjet,02vjet,12=f2α2.
Plugging in α=0.8838, f=0.15:
f2α2=0.022500.7811≈34.7.
Hence
Δpexcess,0Δpexcess,1≈34.7.
In absolute terms the cleaning pressure rises from Δpexcess,0=21ρv02≈4.9kPa to Δpexcess,1≈1.7×105Pa≈1.7bar — a couple of atmospheres of overpressure on the dirt, which is what makes nozzles useful.
Educational remarks
Why the gain in cleaning pressure (∼35×) is less than the naive geometric factor (1/f2≈44×). Continuity alone would suggest vexit/v0=1/f≈6.7, hence Δpexcess∝v2 should rise by 1/f2≈44. The actual gain is smaller because the flow rate itself drops by α≈0.884, and the pressure factor goes as α2/f2. 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 Q at fixed P, so it backs off slightly and finds a new operating point.
The slow approach to the “blocked-pipe” limit. Suppose we shrank f further. Equation (⋆⋆) predicts α∝f2/3 in the small-f limit (because the kinetic-energy term then dominates), so Δpexcess∝α2/f2∝f−2/3. The cleaning pressure does not diverge as 1/f2 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=250W” 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 Δp⋅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 P enters energy balance (⋆).
Why we ignored friction inside the nozzle. The nozzle is short (its length is of order its diameter, both ∼ a centimetre at most), so its friction-loss contribution scales as Δpfnozzle∼4ρvexit2⋅Ln/dn∼4ρvexit2⋅O(1). Numerically that is at most a few times ρvexit2 — 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% accuracy target is consistent with this approximation.
A consistency check on the budget at the new operating point. At α=0.884,
Q1P=αP/Q0≈6.79×105Pa.
Allocating: gravity ρgh=1.96×105Pa (29%), friction 2kρvh,12=k⋅21ρv02⋅α2≈80.97×4928×0.781≈3.12×105Pa (46%), exit KE 2f21ρvh,12≈44.44×4928×0.781≈1.71×105Pa (25%). Sum: 6.79×105Pa. ✓ The KE term has gone from <1% of the budget to a quarter of it — consistent with our headline observation that the nozzle promotes KE to a leading channel.