第25卷第1期 2017年3月
北京石油化工学院学报
Journal of Beijing Institute of Petrochemical Technology
文章编号：1008-2565(2017)01-0036-05
基于参数化建模的动调轴流风机后
导叶DOE优化
肖云峰1，赵亚鹏1，黄俊强1，周秀博2，文双娜
Vol. 25No.1 Mar.2017
（1.北京石油化工学院机电工程学院，北京102617;2.北京化工大学机电工程学院，北京100029）
摘要：基于AutoBade平台对R十S级动调轴流风机进行参数化，以后导叶出口气流角及弦长为优化变量，总
效率和静压压比为优化目标，完成了气动设计后的R十S级动调轴流风机的三维DOE优化。原有的气动设计时的 DOE优化方法，将轴流风机数值最优化方法与正问题流场计算相结合的DOE优化方法，能够实现多变量组合优化设计，实现二次流损失的有效控制，优化目标全压效率和静压压升分别提高了1.97%和0.056，并得到优化后的最优叶型，
关键词：参数化：动调轴流风机：DOE；优化设计
中图分类号：TH453
文献标志码：A
DOl:10.12053/j.issn.1008-2565.2017.01.008
TheDOEOptimization ofDynamicAdjustableAxialFlow
FanVaneBasedonParametricModelingMethod
XIAO Yunfeng',ZHAO Yapeng',HUANG Junqiang',
ZHOU Xiubo", WEN Shuangna'
(l. Beijing Institute of Petrochemical Technology', Department of Mechanical and Electrical
Engineering, Beijing 102617, Chind; 2. Beijing University of Chemical Technology , Departmen of Mechanical and Electrical Engineering, Beijing 100029, China)
Abstract: By using the Autoblade and modeling R+S dynamic axial flow fan with adjustable pa-rameters, the 3D DOE optimization of R+S dynamic adjustable axial flow fan has been achieved after the aerodynamic design, with the guide vane outlet flow angle and chord length as the opti-mization variables, total efficiency and static pressure ratio asthe optimization objective. The former DOE optimization method, and the new one that combines the axial flow fan numerical optimization method with the flow field calculation, can realize the multi-variable optimization design, and achieve the effective control of secondary flow loss. The optimization goal of total pressure efficiency and static pressure is increased by 1. 97% and 0. 056 respectively, and the optimal leaf type is obtained.
Key words: parameterization; adjustable axial flow fan with adjustable blade; DOE; optimal design
动调轴流风机相比离心风机流量大，效率高，结构简单，易安装，多用于地铁、矿井、锅炉厂等1。而叶片作为叶轮机械最核心部件，其好坏直接影响到风
机的性能。传统的叶型优化设计采用正问题设计方法[2-4，通过设计人员修改叶型几何，该方法是在初始叶型的基础上进行不断数位模拟与修正。该方法不
收稿日期：2016-07-23
作者简方数据(1976—），工学硕士，酬教投，主要从事叶轮机械研究，E-mail：978328675@qq-com，