Swamee-Jain Equation
swamee-jain equation formula |
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| \( f \;=\; \dfrac{ 0.25 }{ \left( log \left( \dfrac{\epsilon }{ 3.7\cdot d } + \dfrac{ 5.74 }{ Re^{0.9} } \right) \right)^2 }\) | ||
| Symbol | English | Metric |
| \( f \) = Friction Factor | \( dimensionless \) | \( dimensionless \) |
| \( \epsilon \) (Greek symbol epsilon) = Absolute Roughness | \( in \) | \( mm \) |
| \( d \) = Inside Diameter of Pipe | \( in \) | \( mm \) |
| \( Re \) = Reynolds Number | \( dimensionless \) | \( dimensionless \) |
Swamee–Jain equation is a practical tool that engineers use to figure out how much resistance, or friction a fluid like water or oil encounters as it flows through a pipe. In everyday terms, when fluid moves through a real pipe (think water supply lines, oil transport pipelines, or industrial systems), it doesn't glide along perfectly smoothly. The pipe's inner surface has tiny imperfections and roughness, and as the fluid rubs against the wall, it loses energy. This energy loss appears as a drop in pressure (or head) the farther the fluid travels, which is why pumps have to work harder to keep things moving.
To predict and manage this pressure drop accurately, engineers rely on the Darcy-Weisbach equation, a fundamental formula that calculates frictional losses based on pipe length, diameter, fluid velocity, and a key value called the Darcy friction factor. This friction factor isn't a constant, it changes depending on two main things: how fast and turbulent the flow is (captured by the Reynolds number, which combines velocity, pipe size, and fluid properties like viscosity), and how rough the pipe's inside surface is (measured as relative roughness). Rougher pipes create more turbulence and drag, leading to greater energy loss.
The challenge with the classic way to find this friction factor, the Colebrook–White equation, is that it's implicit: the friction factor appears on both sides, so you can't solve it directly. You have to guess a starting value, plug it in, calculate a new one, and repeat (iterate) several times until the numbers stabilize. This trial-and-error process works but can be slow and tedious, especially for hand calculations or quick designs.
That's where the Swamee–Jain equation comes in, it provides a direct, explicit formula that gives a very close approximation of the friction factor without any guessing or looping. You simply plug in the Reynolds number and relative roughness once, and you get f right away. It's accurate enough, usually within about 1% of the more precise but iterative Colebrook–White method across the typical ranges engineers encounter in turbulent flow. Because it's fast and reliable, it's a go-to choice for manual calculations, spreadsheets, engineering software, and preliminary designs in fields like water distribution, oil and gas pipelines, and other pressurized pipe systems.
While the equation was specifically developed and validated for circular pipes carrying liquids in turbulent flow, the same underlying physics of friction apply broadly, so similar concepts (and sometimes adaptations of explicit approximations like this one) appear in related calculations for pressure losses in other systems.

