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  2. Moody chart - Wikipedia

    en.wikipedia.org/wiki/Moody_chart

    where is the density of the fluid, is the average velocity in the pipe, is the friction factor from the Moody chart, is the length of the pipe and is the pipe diameter. The chart plots Darcy–Weisbach friction factor against Reynolds number Re for a variety of relative roughnesses, the ratio of the mean height of roughness of the pipe to the ...

  3. Darcy friction factor formulae - Wikipedia

    en.wikipedia.org/wiki/Darcy_friction_factor_formulae

    The pipe's relative roughness ε / D, where ε is the pipe's effective roughness height and D the pipe (inside) diameter. f stands for the Darcy friction factor. Its value depends on the flow's Reynolds number Re and on the pipe's relative roughness ε / D.

  4. Darcy–Weisbach equation - Wikipedia

    en.wikipedia.org/wiki/Darcy–Weisbach_equation

    where the roughness height ε is scaled to the pipe diameter D. Figure 3. Roughness function B vs. friction Reynolds number R ∗. The data fall on a single trajectory when plotted in this way. The regime R ∗ < 1 is effectively that of smooth pipe flow. For large R ∗, the roughness function B approaches a constant value.

  5. Fanning friction factor - Wikipedia

    en.wikipedia.org/wiki/Fanning_friction_factor

    When the pipes have certain roughness <, this factor must be taken in account when the Fanning friction factor is calculated. The relationship between pipe roughness and Fanning friction factor was developed by Haaland (1983) under flow conditions of 4 ⋅ 10 4 < R e < 10 7 {\displaystyle 4\centerdot 10^{4}<Re<10^{7}}

  6. Friction loss - Wikipedia

    en.wikipedia.org/wiki/Friction_loss

    Surface Roughness ε (for water pipes) Material mm in Corrugated plastic pipes (apparent roughness) 3.5: 0.14 [6] Mature foul sewers 3.0: 0.12 [6] Steel water mains with general tuberculations 1.2: 0.047 [6] Riveted Steel 0.9–9.0: 0.035–0.35 Concrete (heavy brush asphalts or eroded by sharp material), Brick 0.5: 0.02 [6] [7] Concrete 0.3 ...

  7. Hydraulic roughness - Wikipedia

    en.wikipedia.org/wiki/Hydraulic_roughness

    It quantifies the impact of surface irregularities and obstructions on the flow of water. One roughness coefficient is Manning's n-value. [2] Manning's n is used extensively around the world to predict the degree of roughness in channels. The coefficient is critical in hydraulic engineering, floodplain management, and sediment transport studies.

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  9. Hazen–Williams equation - Wikipedia

    en.wikipedia.org/wiki/Hazen–Williams_equation

    h f = head loss in meters (water) over the length of pipe; L = length of pipe in meters; Q = volumetric flow rate, m 3 /s (cubic meters per second) C = pipe roughness coefficient; d = inside pipe diameter, m (meters) Note: pressure drop can be computed from head loss as h f × the unit weight of water (e.g., 9810 N/m 3 at 4 deg C)