Optimization Design And Development Of Type Selection Software For Civilian Fan

With the depth of the sustainable development strategy and the overall work of energy conservation and emissions reduction, the competition of civil axial flow fan goes harder and harder. More and more fan manufacturers tend to improve the market competitiveness by using intelligend selection work, optimizing product performance and extending product orders.This paper gives an effective solution to solve the above engineering practice problem. The method includes these following sections:1. Developed a quick selection software to shorten the selection period, and setted up a complete standard air duct test rig to check the accuracy of selection data. The selection software is based on the similarity principle, which helps the fan manufacturer to come true the digitisation of product data and the intelligentialize of selection process. Achieved to design and built up the test rig based on the GB1236-2000 requirements. Going a step further, established the test method and data processing method according to the actual situation.2. Completed a 3D blade parametric fitting and extracted the airfoil data and the stacking mode data, according to the surface discrete data points of several control surfaces on the real blade. Established a single channel numerical calculation model with 2.36 million total mesh number by using three dimensional Reynolds averaged N-S equations, the S-A turbulence model and the central difference of finite volume method. And checked the accuracy of the numerical calculation results by comparing with the experimental data.3. Based on the velocity triangle theory and the experience of engine blade optimization, accomplished the prototype blade profile design improvements by increasing the arc deflection and changing turning angle. Designed 5 prioritization schemes in total, the optimal solution in terms of the prototyp increased 5.4% of the total pressure efficiency on the working point, improved 5.7% at the highest efficiency, the effective working range increased by 208%. And verified the effectiveness of the optimal solution through the standard wind channel test.4. In order to further the fan series, achieved a optimization design which based on the sweep design theory. Designed and computed a total of 34 different sets of sweep type combination, compared before-and-after sweep influence for the fan's performance. Selected a optimal solution, in terms of the prototype, the total pressure efficiency increased 5.0% on the working point, the highest efficiency increased 5.8%, the effective working range increased 175%. Then, through comparing the internal flow fields, analysed the reasons of performance improvement.