pump-performance-curves

Generate pump performance curves by inputting design parameters to compute H-Q, efficiency, power, and NPSH-Q data. The tool fits curves using numpy and scipy, outputting BEP and stability metrics to guide pump selection and design decisions.

Predict pump performance under speed or diameter changes by applying affinity laws to your baseline curves. This calculates adjusted H-Q, efficiency, and power relationships, enabling accurate off-design analysis for modified operating conditions.

A system curve determines the pump operating point by intersecting the H-Q curve, showing actual flow and head conditions. This intersection analysis assesses operating stability and verifies alignment with the Best Efficiency Point.

Analyze NPSH-Q curves to prevent cavitation by comparing available system NPSH against pump-required NPSH across flow rates. The tool computes these curves from design data, helping validate safety margins for mechanical pump selection.

You need numpy, scipy, and matplotlib installed to calculate pump curves. These dependencies handle numerical curve fitting, scientific computations, and graphical visualization of H-Q, efficiency, power, and NPSH relationships.

Size a centrifugal pump by matching the system curve with generated H-Q curves to locate the operating point. Evaluate BEP alignment, efficiency targets, and safety margins to ensure optimal energy performance for your specified duty.