摘要
采用四阶有理Bezier曲线,多个控制点约束叶轮中弧线进行叶片参数化设计.基于贯流风机须在较宽的工况区间内稳定运行的要求,在熵值法的基础上设计了一种多工况设计优化方法.设置多工况加权平均流量为优化目标函数,利用超拉丁方实验设计方法生成样本空间点,通过熵值法确定不同工况的权重因子,基于多岛遗传优化算法(MIGA)对数值模拟结果进行多工况优化.通过此方法进行贯流风机叶片型线优化结果表明:优化后叶轮在不同转速下体积流量均有所上升,最高转速下流量提高65.18 m3/s.
The middle arc of blade was composed of a fourth order rational Bezier curve and the shape parameters of blade were constrained by multiple control points. Based on the maximum entropy method,a multi-condition optimization method was discussed to ensure that the fan has good aerodynamic characteristics at different speeds. Averaged weighted volume flow in different working condition was taken as the optimization objective. The sample space points were generated by Latin hypercube method. According to the sample space, the entropy method was used to calculate the weight factors of different working conditions. The multi-island genetic algorithm was applied to search the optimal solution of numerical simulation. Finally this method was used to optimize the cross-flow fan blade, and the results indicate that the volume flow rate of impeller increases at different speeds and the maximum volume flow rate has the improvement by 65.18 m3/s.
作者
丁炎炎
王军
王威
叶涛
DING Yanyan;WANG Jun;WANG Wei;YE Tao(School of Energy and Power Engineering,Huazhong University of Science and Technology,Wuhan 430074,China;Guangdong Sunwill Precising Plastic Company,Foshan 528000,Guangdong China)
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2021年第3期58-62,共5页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家重点研发计划资助项目(2017YFC0211505)
中国南方智谷引进创新团队资助项目(2013CXTD01)。
