【摘要】 为了降低发动机冷却风扇的气动噪声值，并保证气动性能不被减弱，基于计算流体力学(computational fluid dynamics, CFD)与计算气动声学(CAA)理论对冷却风扇的气动噪声进行求解，并将气动噪声试验的结果与其对比，验证了该气动噪声计算方法具有可靠性。借助该噪声预测方法，通过正交试验研究各平面叶型参数对风扇噪声性能与气动性能的影响程度及影响趋势。综合分析正交试验分析结果，经Box-Behnken试验拟合出噪声代理模型，求解得到最低噪声参数组合。CFD/CAA联合仿真结果显示，优化后的风扇模型的气动噪声性能和气动性能都有改善，为车辆冷却风扇的参数设计和降噪研究提供了新的思路。更多还原

【Abstract】 As one of the main noise sources of engine cooling system, engine cooling fan is closely related to vehicle noise performance. In order to improve the noise performance and maintain the aerodynamic performance of the engine cooling fan by optimizing the plane blade parameters, firstly, the numerical investigation of automotive cooling fan module aerodynamic noise is carried out with the help of computational fluid dynamics(CFD) and computational aerodynamics(CAA), and the result is verified by noise experiments in semi-anechoic chamber. And then, based on the measured speed 2 471 r/min, outlet pressure 0.8 Pa operating mode as an example, the A weighted sound pressure level and the standard air flow rate are settled as the evaluation index, thus the trend and the extent of each parameter influence on the performance of fan noise are obtained by orthogonal test. In the end, drawing lessons from orthogonal test results, quadratic polynomial prediction model is established by Box-Behnken experience design, and optimal parameters combination for improving aerodynamic noise performance of cooling fan is obtained. The optimization results which can improve the noise performance and the aerodynamic performance are verified by CFD/CAA hybrid method. The final results show that the optimum parameters obtained from response surface methodology are accurate and reliable, so a new way for parameter design and noise reduction of vehicle cooling fan is developed.更多还原