Automatic Optimization of Vertical Long-shaft Fire Pump Overload Based on Particle Swarm Optimization Algorithm

Abstract

As a typical large-flow high-head pump, the vertical long-axis fire pumps have the advantages of rapid startup, superior structure, and strong applicability in multiple occasions. In order to shorten the non-overload optimization cycle, CFturbo, ICEM and CFX are integrated by writing batch processing commands to achieve automatic multi-load and no-load optimization of vertical long-axis fire pumps based on Isight’s multi-disciplinary optimization platform. With the objective of achieving the non-overload characteristics of vertical long-axis fire pumps, the optimal Latin hypercube design is used to spatially sample the design variables of the impeller. After sampling, the particle swarm optimization (PSO) algorithm is used to optimize the design. The results show that, vertical long-axis fire pumps achieve non-overload characteristics within 1.5Q 0 after optimization, while the head and efficiency at the rated operating point are almost unchanged.