Hydraulic Institute Engineering Data Book [ 2025-2026 ]

The Hydraulic Institute currently offers the Engineering Data Book in:

HI revises the Data Book periodically. Significant updates occur when new research on viscosity effects, slurry transport, or pump efficiency testing is validated. As of the latest edition (the 4th or 5th, depending on revision cycle), content on VFDs, energy cost analysis, and pump system optimization has been greatly expanded.

The foundation of hydraulic calculation lies in understanding the fluid being pumped. The Data Book provides extensive tables for: hydraulic institute engineering data book

A pump cannot be selected in isolation; it must match the system it serves. The Data Book dedicates significant space to calculating system resistance.

Few topics in pump engineering generate more heated arguments than how much NPSH margin is enough. The Data Book provides a famous table: recommended margins based on service, fluid type, and risk tolerance. It doesn’t end the debate — but it gives you a defensible, industry-backed starting point. That’s gold in a lawsuit or after a catastrophic cavitation failure. HI revises the Data Book periodically

Young engineers often ask: “Why not just run a CFD model?” The answer: because in the field, you need a sanity check in 30 seconds. The Data Book provides elegant shortcut charts and nomographs — slide-rule-era graphical calculators — that let you estimate NPSH available or head loss with a straightedge. It forces you to understand the physics, not just simulate it.

Most software handles clean water beautifully. But what about: The Data Book dedicates serious real estate to

The Data Book dedicates serious real estate to non-Newtonian fluids, slurries, and two-phase flow — the messy, real-world stuff that breaks pumps if you get it wrong.

Here’s an interesting, insight-driven piece on the Hydraulic Institute Engineering Data Book, designed to capture the attention of engineers, students, and industry professionals alike.

To understand the value of the Engineering Data Book, consider these two common engineering scenarios.