文档介绍：基于叶片弯掠技术的优化设计
李杨欧阳华杜朝辉
(上海交通大学涡轮机实验室,上海200030)
(**********,@)
摘要:在三维粘性流场的数值计算程序平台上,利用BP神经网络和遗传算法,通过叶片弯掠技术对一轴流风机的转子叶片的周向弯曲角度进行寻优,以使风扇的气动性能进一步提高。通过对比优化前、后的叶轮发现,优化之后的叶片呈现明显的周向前弯曲特征。测试结果显示,%%,失速裕度大幅度拓宽36%以上,上、下端部的损失进一步降低。
关键词:周向前弯叶片,人工神经网络,遗传算法,优化设计
中图分类号: 文献标识码:A
Optimization Design Based on Skewed and Swept Blade Technique
LI Yang OU YANG-Hua DU Zhao-Hui
(Turbomachinery Laboratory of Shanghai Jiaotong University, Shanghai 200030, China)
Abstract: Based on a program for solving 3D viscous flow fields, an aerodynamic optimization design was conducted to the rotor blade (archetypal rotor blade) of an axial flow fan with back-propagation work and ic algorithm. By skewed and swept blade technique, the optimized rotor blade having better aerodynamic performance is obtained. The results show that the optimized rotor blade is circumferential forward-skewed blade. Compared with the archetypal rotor blade, the total pressure rise and the total pressure efficiency of the optimized rotor are increased by % and % respectively. Its stall margin is greatly extended by more than 36%. At the same time, the loss in the upper and lower endwalls of the fan is reduced further.
Key words: Circumferential forward-skewed blade; Artificial work (ANN); ic Algorithm (GA); Optimization design
1前言
随着计算机技术和各种寻优算法的不断发展,在叶轮机械领域,利用某些算法进行叶片的优化设计来提高叶轮的性能