A crude oil pipeline is designed for 140°F (low viscosity). At startup, the oil is 60°F (high viscosity). How the Data Book helps: Section E (Viscous Correction) provides factor charts. The engineer inputs the cold viscosity, finds that friction loss is 4x higher, and specifies a VFD (Variable Frequency Drive) for slow ramp-up, preventing motor overload and cavitation.
A plant replaces a pump for a 100°F water loop. The new pump produces 500 GPM at 100 ft head, but the system only needs 400 GPM. The operator throttles a valve, wasting energy. How the Data Book helps: Section B provides the K-factor for a partially open gate valve. Section C teaches the engineer how to trim the pump impeller using the affinity laws (Flow ∝ Diameter; Head ∝ Diameter²), saving $12,000/year in energy.
First, it is crucial to understand the source. The Hydraulic Institute (HI), founded in 1917, is the largest association of pump manufacturers and suppliers in North America. Their primary mission is to create consensus-based standards that define pump reliability, energy efficiency, and testing methods. hydraulic institute engineering data book
The Engineering Data Book serves as the companion volume to those standards. While the standards tell you how to test a pump or how to calculate Net Positive Suction Head (NPSH), the Data Book provides the raw material—the fluid properties, friction loss coefficients, and mathematical constants—needed to perform those calculations.
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. A crude oil pipeline is designed for 140°F (low viscosity)
Most engineers know the Hydraulic Institute (HI) Data Book for its friction loss tables and pump selection criteria. However, its most valuable insights lie in transient analysis, low-flow damage prediction, and viscosity correction beyond standard charts. This report highlights five data-driven lessons rarely applied in the field—but which prevent 70% of common pump failures.
Most software handles clean water beautifully. But what about: A plant replaces a pump for a 100°F water loop
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.