基于NUMECA的小型风扇性能优化研究

发布时间：2018-06-05 22:36

本文选题：轴流风扇 + 优化设计　；参考：《浙江理工大学》2012年硕士论文

【摘要】：叶片形状是影响小型轴流风扇性能的主要因素，因此针对风扇叶片的改型是优化小型轴流风扇性能的重要手段，CFD技术的快速发展为优化此类叶轮机械提供了便捷有效的优化手段。本论文以静压为优化目标，对一种轴流风扇进行优化设计，得出性能更优的风扇模型；制造样机模型并对优化前后模型进行了数值模拟计算；最后对优化前后风扇模型进行静特性的实测研究。主要内容如下： (1)回顾了叶轮机械及风扇研究的发展历程，包括数值模拟和优化设计的国内外发展现状。 (2)对小型轴流风扇样机进行了参数化造型，以直线和简单贝赛尔曲线控制叶片周向定位，分别进行参数化拟合，基于静压为优化目标对风扇进行优化设计研究，得到了两种静压最高的风扇参数，并导出三维模型。 (3)采用雷诺时均Navier-Stokes方程和Spalart-Allmaras模型湍流模型，对优化前后风扇进行三维数值模拟，分析静特性和内部流动状况，计算结果表明，优化后两风扇的性能得到提高。 (4)制造优化后风扇实物模型，利用风洞测试系统对优化前后的风扇进行静特性的实测，，得到性能曲线，结果表明，优化后风扇模型的静压高于优化前，验证了优化方法的可行性。
[Abstract]:The shape of the blade is the main factor affecting the performance of the small axial fan. Therefore, the modification of fan blade is an important means to optimize the performance of small axial flow fan. The rapid development of CFD technology provides a convenient and effective optimization method for optimizing this kind of impeller machinery. In this paper, a fan model with better performance is obtained by optimizing the design of an axial fan with static pressure as the optimization objective, and the model of prototype is made and the model before and after optimization is numerically simulated. Finally, the static characteristics of the fan model before and after optimization are studied. The main contents are as follows: 1) the development of impeller machinery and fan research, including numerical simulation and optimal design at home and abroad, is reviewed. 2) Parametric modeling of a small axial fan prototype is carried out. The blade circumferential positioning is controlled by straight line and simple Bessel curve, and parameterized fitting is carried out respectively. The fan is optimized and designed based on static pressure. Two kinds of fan parameters with the highest static pressure are obtained and the three-dimensional model is derived. Three dimensional numerical simulation of the fan before and after optimization is carried out by using Reynolds time averaged Navier-Stokes equation and Spalart-Allmaras model turbulence model. The static characteristics and internal flow state are analyzed. The results show that the performance of the two fans is improved after optimization. The static characteristics of the fan before and after the optimization are measured by wind tunnel test system, and the performance curves are obtained. The results show that the static pressure of the optimized fan model is higher than that before optimization. The feasibility of the optimization method is verified.
【学位授予单位】：浙江理工大学
【学位级别】：硕士
【学位授予年份】：2012
【分类号】：TH432.1

【参考文献】