Optimization design of windward angle of air duct of upper and lower air supply purifiers

Taking large-scale vertical air purifiers with upper and lower air supply as the research object, based on ANSYS finite element simulation analysis software, an air duct fluid model is established, and the air flow characteristics of the air duct structure of the air purifier under multiple windward angles of 0° to 90° are simulated and analysed to simulate the internal flow field performance of the air purifier in real. Using backpropagation neural network to characterize the nonlinear mapping relationship between the windward angle of the air purifier duct and the flow velocity and pressure drop inside the air duct. Under the condition of ensuring the timeliness of air filtration and purification, based on the prediction results of the neural network model, the optimal windward angle obtained by genetic algorithm is 15.9°, which increases the flow velocity of the outlet and inlet by 8.4% and 14.5% respectively compared with the unoptimized air duct structure, and increases the clean air volume by 352.21 m3per hour.