| 低速模拟中叶型最大厚度模化研究 |
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| 引用本文： | 刘宝杰,张传海,于贤君,安广丰. 低速模拟中叶型最大厚度模化研究[J]. 工程热物理学报, 2021, 42(3): 586-594 |
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| 作者姓名： | 刘宝杰 张传海 于贤君 安广丰 |
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| 作者单位： | 北京航空航天大学能源与动力工程学院,北京 100191;北京航空航天大学航空发动机研究院,北京 100191;航空发动机气动热力国防重点实验室,北京 100191;北京航空航天大学能源与动力工程学院,北京 100191;中国空气动力研究与发展中心,绵阳 621000;北京航空航天大学能源与动力工程学院,北京 100191;北京航空航天大学航空发动机研究院,北京 100191 |
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| 基金项目： | 国家自然科学基金资助项目(No.51806004,No.51790511);国家科技重大专项资助项目(No.2017-H-0001-0013)。 |
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| 摘 要： | 介绍了低速模拟中低速叶型的设计准则,分析说明了叶型喉道宽度与最大厚度、最大厚度位置存在线性关系.建立了最大厚度模型,用以预估低速叶型最大厚度.为了验证最大厚度模型的适用性,进行了一组典型CDA叶型的低速模拟设计.数值计算结果显示,低速模拟叶型的特性和叶表无量纲速度分布较为一致,用以判断最大厚度模型适用性的吸力面峰值速度...
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| 关 键 词： | 低速模拟 最大厚度 模化 |
Research on the Low-speed Similarity Principles for Compressor Stator Airfoils |
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| LIU Bao-Jie,ZHANG Chuan-Hai,YU Xian-Jun,AN Guang-Feng. Research on the Low-speed Similarity Principles for Compressor Stator Airfoils[J]. Journal of Engineering Thermophysics, 2021, 42(3): 586-594 |
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| Authors: | LIU Bao-Jie ZHANG Chuan-Hai YU Xian-Jun AN Guang-Feng |
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| Affiliation: | (School of Energy and Power Engineering,Beihang University,Beijing 100191,China;Research Institute of Aero-Engine,Beihang University,Beijing 100191,China;National Key Laboratory of Science and Technology on Aero-Engine Aero-Thermodynamics,Beijing 100191,China;China Aerodynamics Research and Development Center,Mianyang 621000,China) |
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| Abstract: | Some design principles in low-speed simulation had been introduced.It was analyzed that there was a linear relationship between blade throat width,maximum thickness-chord ratio and the position of maximum thickness.A maximum thickness model was established to estimate the maximum thickness.In order to verify the applicability of the maximum thickness model,a low-speed airfoil had been performed.The numerical results show that the characteristics of the low-speed airfoil and the non-dimensional velocity distribution are consistent,and the relative error of the peak velocity of the suction surface for judging the applicability of maximum thickness model is only 0.75%,which indicates the accuracy of the model.Using this model to predict the maximum thickness can decrease the number of iterations in low-speed simulation. |
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| Keywords: | low-speed simulation maximum thickness modeling |
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