| 轴流风扇转子叶片优化设计 |
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| 引用本文： | 李杨,欧阳华,杜朝辉. 轴流风扇转子叶片优化设计[J]. 上海交通大学学报, 2007, 41(9): 1522-1525 |
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| 作者姓名： | 李杨 欧阳华 杜朝辉 |
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| 作者单位： | 上海交通大学,机械与动力工程学院,上海,200030;上海交通大学,机械与动力工程学院,上海,200030;上海交通大学,机械与动力工程学院,上海,200030 |
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| 摘 要： | 针对一通用型轴流风扇的转子叶片,以三维粘性流场的数值计算程序为平台,利用人工神经网络BP算法和遗传算法,通过叶片弯掠技术对叶片的周向弯曲角度进行寻优,以使风扇的性能进一步提高.通过对比优化前、后的叶轮发现,优化之后的叶片形成明显的沿周向顺叶轮旋转方向弯曲.试验结果表明,其全压效率提高了1.27%,全压升提高了3.56%,上、下端部的流动损失进一步降低.
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| 关 键 词： | 轴流风扇 周向弯曲叶片 人工神经网络 遗传算法 优化设计 |
| 文章编号： | 1006-2467（2007）09-1522-04 |
| 修稿时间： | 2006-11-22 |
The Optimization Design of Axial Flow Fan Rotor Blade |
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| LI Yang,OUYANG Hua,DU Zhao-hui. The Optimization Design of Axial Flow Fan Rotor Blade[J]. Journal of Shanghai Jiaotong University, 2007, 41(9): 1522-1525 |
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| Authors: | LI Yang OUYANG Hua DU Zhao-hui |
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| Affiliation: | School of Mechanical Eng. , Shanghai Jiaotong Univ. , Shanghai 200030, China |
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| Abstract: | Based on a program for solving 3D viscous flow fields,an aerodynamic optimization design was conducted to the rotor blade of an axial flow fan.Using back-propagation neural networks and genetic(algorithm,) by skewed and swept blade technology,the archetypal rotor blade was optimized for improving its aerodynamic performance.The results show that compared with archetypal rotor blade,the total pressure efficiency of the fan with the optimized blades is increased by 1.27% and its total pressure rise is increased by 3.56%.The flow loss in the upper and lower endwalls of the fan is reduced further. |
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| Keywords: | axial fan circumferential skewed blade artificial neural network(ANN) genetic algorithm(GA) optimization design |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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