【摘要】 选取直叶片叶型小型轴流风扇为研究对象,以静压为优化目标,优化方法为遗传算法和近似函数方法,优化计算得到性能更优的风扇模型,分析研究优化前后风扇静特性及流场的变化,利用风扇测试系统对优化前后风扇进行静特性实测,并与数值模拟结果进行对比。结果表明:优化后得到了不同参数化方法的优化模型A和B,分别为倾斜叶型和弯曲叶型,两模型的静压均较优化前提高了近20%,静特性和流场状况也均优于原始模型,实验数据和数值计算结果趋势相同且数值接近,达到了对周向参数优化以提高风扇性能的目的。更多还原

【Abstract】 In this paper,the authors select the straight blade of a small axial flow fan as the research object,set the static pressure as optimal objective and use genetic algorithm and approximate function method as the optimization methods,get better performance of the fan model by optimization calculation as well as analyze the static characteristics and the change in the flow field by comparing with archetypal rotor blade.Then,the authors take the use of wind tunnel test system to survey the characteristics of fans before and after optimization,and compare numerical simulation results.The results show that the authors get optimization model A and model B by different parameter methods,i.e.,the oblique blade and bend blade;the static pressure rises by nearly 20%;the static characteristics and the flow field conditions of the models after optimization are better than that of the original model;the experimental data and the numerical results have the same trend and the values are approximate.The authors can make the aerodynamic performance of blade improved by optimizing circumferential parameters.更多还原