基于CFD分析软件Star CCM+,结合计算气动声学理论,对某汽车空气调节系统(HVAC)离心风机工作过程的流场和气动噪声进行数值模拟分析.采用Reynolds平均数值模拟(RANS)标准k-ε湍流模型模拟稳态流场,利用大涡模拟(LES)湍流模型和FW-H方程分析瞬态气动噪声,通过监测离心风机内部和外部布置点测得压力脉动,并由傅里叶变换得到监测点声压级频谱.结果表明,离心风机主要噪声是叶轮旋转产生的离散噪声(达98 d B),可适当增加叶片数,调整叶片间距,以减小离散噪声.本方法可为其他类型风机的气动噪声数值模拟提供一种有效的分析手段.
Propeller blade width measurement has been extensively studied in the past using direct and indirect methods, and it plays a great role in determining the quality of the finished products. It has surveyed that previous techniques are usually time-consuming and erroneous due to a large number of points to be processed in blade width measurement. This paper proposes a new method of measuring blade width using two images acquired from different viewpoints of the same blade. And a new feature points matching approach for propeller blade image is proposed in stereo vision measurement. Based on these, pixel coordinates of contour points of the blade in two images are extracted and converted to real world coordinates by image algorithm and binocular stereo machine vision theory. Then, from the real world coordinates, the blade width at any position can be determined by simple geometrical method.
