摘要
针对风扇叶型常规设计导致的气流落后角偏大的问题,建立了一套将遗传算法和流场数值模拟技术相结合的二维叶型优化系统。二维叶型采用Bezier曲线拟合,目标函数由总压损失系数和气流转折角构建,优化过程中选取叶型面积和弦长作为约束条件。优化后,叶型的性能得到了改善,采用优化叶型的单级风扇出口气流落后角减小到了设计值,设计点的静压升提高了1.6%,等熵效率提高了0.56%。
Pointing at the large deviation angle of fan blade profile designed by using conventional methods,an optimization system for two dimensional fan blade elements was developed,which combined genetic algorithm and numerical simulation method of flow field. The Bezier representation was chosen to describe the two dimensional blade elements.Objective function was established based on the total pressure loss coefficient and flow turning angle. The area of the blade airfoil and chord were chosen to be the constraint condition. The performance of the blade airfoil was improved after being optimized; the deviation angle of one stage fan outlet position was decreased to the design value,which used the optimized blade airfoil; static pressure at the design point was increased by 1. 6%,and the isentropic efficiency was also increased by 0. 56%.
出处
《能源工程》
2014年第6期16-20,34,共6页
Energy Engineering
关键词
遗传算法
数值模拟
优化
偏移角
genetic algorithm
numerical simulation
optimization
deviation angle
