Research on blade design method of multi-blade centrifugal fan for building efficient ventilation based on Hicks-Henne function

Abstract

Abstract The customary single-arc blade applied in the multi-blade centrifugal ventilating fan for building ventilation is ordinary in shape and hard to meet the design requirements of the pertinent parameters. The article used the modified Hicks-Henne function (suitable for blade design with multi-arc and complex curve blades) to parametrically design the blades of multi-blade centrifugal fan to improve its aerodynamic performance. During the optimization process, the Audze-Eglais (AE) criterion was used to optimize the Latin hypercube test design. Based on the optimized test design method, a Kriging agent model was established. While taking total pressure efficiency and flow rate as the optimization goals, combined with the nondominated sorting genetic algorithm II (NSGA-II) to find the Pareto solution set of the agent model. Internal flow field was analyzed before and after optimization by numerical simulation of the fan, and the Computational Fluid Dynamics (CFD) results were further verified through experiments. At the maximum efficiency point, the flow rate of the fan after the optimization has increased by 1.18\xa0m3/min, the total pressure efficiency was improved by 4.21%. The improvement of efficiency and flow rate can effectively reduce energy consumption of building ventilation.