2results about How to "Optimize air volume" patented technology

This invention provides a rear-mounted guide vane with a cylindrical body for an axial flow fan, belonging to the field of ventilation equipment technology. It solves the problems of insufficient airflow or low static pressure efficiency in the high static pressure zone in existing technologies. This invention includes a guide vane body, guide vane blades, and a central hub. The two sides of the guide vane body are the outlet side and the inlet side, respectively, with the diameter of the outlet side being larger than that of the inlet side. The guide vane body is integrally formed and has a conical ring shape. The inner wall of the guide vane body forms a first mounting surface, which is a conical ring structure. The central hub is ring-shaped, and several mounting protrusions are formed on one side of the central hub. The outer surface of the central hub and the mounting protrusions forms a second mounting surface. The guide vane blades are numerous and arranged in a circumferential array, fixed between the first and second mounting surfaces. The cross-section of the guide vane blades is a thin plate structure of uniform thickness with an arc shape. This invention has the advantages of reducing turbulence, increasing airflow in the high static pressure zone, high static pressure efficiency, and increased range.

The application discloses a kind of based on air intake volume prediction vehicle front end cooling module design method and system, belong to automobile cooling system air volume matching and application technical field, including: obtain the key factor data of current vehicle front end cooling module design scheme under the influence radiator air intake volume;For key factor data, respectively using convolutional neural network and graph convolutional neural network extract the non-space feature and spatial feature of the cooling module currently designed;The extracted features are input into the air intake volume prediction model, and the predicted air intake volume under the current design scheme is output;Constantly adjust key factor data to generate different design schemes, and predict the air intake volume under different design schemes, according to the predicted air intake volume adjustment and screening, obtain the optimal cooling module design scheme.The application adopts the radiator air intake volume prediction mode based on neural network, simultaneously with feedback mechanism, improve the cooling module selection process, speed up the design iteration of front grille, improve research and development efficiency.