表面粗糙的轴流透平缩放模化时性能差异及换算方法
Performance Difference and Correction Method of Axial Flow Turbine with Rough Surface during Scaling Modeling
摘要: 缩放模型是轴流透平研发与实验研究中的常用方法。由于缩放后相对表面粗糙度以及基于弦长的来流雷诺数存在差异，模型机实验数据不能完全还原原型机性能。本文基于E3第一级高压透平级，数值分析了相对表面粗糙度对两倍率缩尺模型流动性能的影响，基于雷诺数对流动影响的机制以及平板边界层理论，建立了透平级等熵效率关于Re和ks/C的性能换算方法。可依据某一相对表面粗糙度下模型机的实验数据，修正后得到任意相对表面粗糙度下原型机的性能，误差在5%以内。
Abstract: Scaling model is a common method in the development and experimental research of axial flow turbine. The relative surface roughness and Reynolds number based on chord length of the scaling machine are different from the original machine, so the experimental data of the scaled machine cannot completely restore the performance of the original machine. In this paper, based on the first stage of E3 which is a high-pressure turbine stage, the influence of relative surface roughness on the flow performance of the double scaled model is analyzed through numerical method. Based on the influence mechanism of Reynolds number and the plate boundary layer theory, the performance conversion method of isentropic efficiency is established about Re and ks/C. Based on the experimental data of the scaled machine under a certain relative surface roughness, the per-formance of the scaling machine under any relative surface roughness can be obtained after cor-rection, and the error is less than 5%.
文章引用：王英杰. 表面粗糙的轴流透平缩放模化时性能差异及换算方法[J]. 建模与仿真, 2021, 10(2): 481-491. https://doi.org/10.12677/MOS.2021.102049

参考文献

[1] 邹正平, 宁方飞, 刘火星, 李维. 雷诺数对涡轮叶栅流动的影响[J]. 工程热物理学报, 2004(2): 216-219.
[2] 奚忠, 付经伦, 沈煜欣, 刘建军. 雷诺数对微透平性能影响的数值模拟[J]. 燃气轮机技术, 2012, 25(4): 29-33.
[3] Boyle, R.J. and Senyitko, R.G. (2003) Measurements and Predictions of Surface Roughness Effects on the Turbine Vane Aerodynamics. ASME Turbo Expo, collocated with the International Joint Power Generation Conference. American Society of Mechanical Engineers, Atlanta, 16-19 June 2003, 291-303. [Google Scholar] [CrossRef] 
[4] Matsuda, H., Otomo, F., Kawagishi, H., et al. (2006) Influence of Surface Roughness on Turbine Nozzle Profile Loss and Secondary Loss. ASME Turbo Expo: Power for Land, Sea, & Air, Barcelona, 8-11 May 2006, 781-788. [Google Scholar] [CrossRef] 
[5] Kacker, S.C. and Okapuu, U. (1982) A Mean Line Prediction Method for Axial Flow Turbine Efficiency. Journal of Engineering for Power, 104, 111-119. [Google Scholar] [CrossRef] 
[6] Aungier, R.H. (2006) Turbine Aerodynamics: Axial-Flow and Radi-al-Inflow Turbine Design and Analysis. ASME Press, New York. [Google Scholar] [CrossRef] 
[7] Schlichting, H. and Gersten, K. (1979) Boundary-Layer Theory. McGraw-Hill.
[8] Syverud, E. and Bakken, L.E. (2006) The Impact of Surface Roughness on Axial Compressor Performance Deterioration. ASME Turbo Expo: Power for Land, Sea, & Air, Barcelona, 8-11 May 2006, 491-501. [Google Scholar] [CrossRef] 
[9] Casey, M.V. and Robinson, C.J. (2011) A Unified Correction Method for Reynolds Number, Size, and Roughness Effects on the Performance of Compressors. Proceedings of the Institution of Mechanical Engineers, 225, 864-876. [Google Scholar] [CrossRef] 
[10] Timo, L.P. (1984) Energy Efficient Engine High Pressure Turbine Component Test Performance Report. NASA-CR- 168289.
[11] 王仲奇, 秦仁. 透平机械原理[M]. 第2版. 北京: 机械工业出版社, 1988.
[12] Koch, C.C. and Smith Jr., L.H. (1976) Loss Sources and Magnitudes in Axial-Flow Compressors. Journal of Engineering for Gas Turbines & Power, 98, 411-424. [Google Scholar] [CrossRef] 
[13] 何磊, 黄启鹤, 赵连会, 竺晓程, 杜朝辉. 重型燃气轮机透平叶片表面粗糙度对换热的影响[J]. 动力工程学报, 2019, 39(9): 711-716, 746.
[14] Meher-Homji, C.B., Chaker, M. and Bromley, A.F. (2009) The Fouling of Axial Flow Compressors: Causes, Effects, Susceptibility, and Sensitivity. ASME Turbo Expo 2009: Power for Land, Sea, and Air. American Society of Mechanical Engineers Digital Collection, Orlando, 8-12 June 2009, 571-590. [Google Scholar] [CrossRef] 
[15] 陈绍文, 张辰, 石慧, 等. 轴流压气机级内污垢沉积影响的数值研究[J]. 航空动力学报, 2010, 25(7): 1588-1594.
[16] Guelich, J.F. (2003) Effect or Reynolds Number and Surface Roughness on the Efficiency of Centrifugal Pumps. Journal of Fluids Engineering, 125, 670-679. [Google Scholar] [CrossRef] 

为你推荐