Numerical Simulation And Structure Optimization Of The Spray Axial-flow Fan

Spray axial-flow fan is mainly used to large textile enterprises which need higher humidity conditions. Today more and more companies and departments demand energy-saving and efficiency, so the flow, pressure and efficiency indicators of Spray axial-flow fan mostly have drawn greater attention. The traditional design of spray axial-flow fan depends on experiments, which cost a lot. If the method of numerical simulation can simulate flow field of fan, pre-obtain the performance indicators, repeatedly change the parameters, and finally obtain the best Performance design. Then we can use this method to reduce the design time and production cost, which will have an important economic significance.Based on the structure parameters of the Spray axial-flow fan, firstly we completed modeling and meshing work in processing software FLUENT—GAMBIT , then identified computational domain and boundary conditions in FLUENT, and used SIMPLE algorithm, Realizableκ-εturbulence model, non-coupling implicit solver, to calculate Renault 3D N-S equations , finally got hold of the spray Axial Flow Fans Field, to compute the flow field of the spay axial-flow fan, we can change the structural parameters of blower, such as: flow capacity, impeller speed, the installation angle, receive the relationship between the efficiency and parameters. Compared with the experimental data, the results have relatively good agreement. On the basis of this provision , the fan nozzle is imported, the Mixture hybrid model is used, then the internal flow field of the gas-liquid two-phase flow field is calculated, and the wholly pressure , efficiency, noise are analyzed. From the results we can see that, the conclusion of two-phase flow is in accordance with the results of the design flow.This paper also used aerodynamic noise module which is the latest model of FLUENT software to estimate the fan noise, Established the fan noise prediction model, and combined performance and geometric parameters. After optimization, the fan efficiency increase 3.43% with the fan noise increased by only 2.3457dB, which is much superior to the traditional design ways which increased the noise when the same efficiency is made, but the noise increased (5.28dB).This article has established a set of more internal design and the optimized procedure for the Spray axial-flow fan, which enhanced its efficiency, and estimated machine noise with the new method. What's more, it has made some beneficial explorations on the complex model establishment, the simplification, the grid production, computation model aspect and so on. We hoped that it can be useful for reference for the models which are the similar type simulation questions.