| Citation: | WANG Guanfu, QI Xiaoxue, LI Changhui, et al. Reynolds number effects on performance of turbofan based on whole engine test data identification[J]. Journal of Aerospace Power, 2022, 37（12）：2681-2690 doi: 10.13224/j.cnki.jasp.20210352
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In order to investigate Reynolds number effects on the performance of turbofan and improve state performance model calculation accuracy in flight envelope, a computational analysis method based on whole engine test data identification was presented. Identification algorithm convergence and result validity were improved through measurement parameters selection for gas path analysis. Component performance scale factor for each test point was identified by non-linear gas path analysis method. Statistical analysis of the relationship between Reynolds Number and component performance scale factor was performed, and the performance change of each component affected by Reynolds Number was quantitatively obtained. Baseline steady state performance model was modified and calculation accuracy was compared and verified. Compared with test data, modified steady state performance model calculation error was not more than 2.5%. Compared with baseline steady state performance model calculation result for each parameter, the average calculation accuracy was improved 2.3%, and the maximal calculation accuracy was improved 9.2%.
| [1] |
WASSEL A B. Reynolds number effects in axial compressors[J]. Journal of Engineering for Power,1968,90(2): 149-156.
|
| [2] |
BALJE O E. A study of Reynolds number effects in turbomachines[J]. Journal of Engineering for Power,1964,83(3): 227-235.
|
| [3] |
HURA H S, JOSEPH J, HALSTEAD D E. Reynolds number effects in a low pressure turbine[R]. ASME Paper GT2012-68501, 2012.
|
| [4] |
WILLIAM R P, DORWIN B W. Altitude performance of compressor, turbine, and combustor components of 600-B9 turbojet engine[R]. NACA RM E53I18, 1960.
|
| [5] |
KOZU M, YASHIMA S. Reynolds number effects on the performance of a turbofan engine[R]. ASME Paper 89-GT-199, 1989.
|
| [6] |
顾明皓,桂幸民. 低雷诺数效应对某型风扇的性能影响及改进方案研究[J]. 航空动力学报,2004,19(4): 438-443. GU Minghao,GUI Xingmin. Low-Re number effects on the performance of some fans and the modified design[J]. Journal of Aerospace Power,2004,19(4): 438-443. (in Chinese
|
| [7] |
王进, 骆广琦, 陶增元. 雷诺数对压气机特性及发动机稳定性影响的计算和分析[J]. 航空动力学报, 2003, 18(1): 20-23.
WANG Jin, LUO Guangqi, TAO Zengyuan. Effects of Reynolds number on compressor performance and engine stability[J]. Journal of Aerospace Power, 2003, 18(1): 20-23. (in Chinese)
|
| [8] |
李维, 邹正平, 赵晓路. 雷诺数对涡轮部件性能的影响[J]. 航空动力学报, 2004, 19(6): 822-827.
LI Wei, ZHOU Zhengping, ZHAO Xiaolu. The effects of Reynolds number on the characteristics of the low pressure turbine[J]. Journal of Aerospace Power, 2004, 19(6): 822-827. (in Chinese)
|
| [9] |
郭捷, 王咏梅, 杜辉, 等. 低雷诺数条件对涡扇发动机风扇-压气机性能和稳定性影响的试验研究[J]. 航空发动机, 2004, 30(4): 4-6.
GUO Jie, WANG Yongmei, DU Hui, et al. Experimental investigation of low Reynolds number effects on fan/compressor performance and stability for turbofans[J]. Aeroengine, 2004, 30(4): 4-6. (in Chinese)
|
| [10] |
NATO AVT Working Group 018. Performance prediction and simulation of gas turbine engine operation[R]. The Research and Technology Organisation Technical Report TR-44, 2002.
|
| [11] |
STAMATIS A, MATHIOUDAKIS K, PAPAILIOU K D. Adaptive simulation of gas turbine performance[J]. Journal of Engineering for Gas Turbines and Power, 1990, 112(2): 168-175.
|
| [12] |
URBAN L A. Gas path analysis: applied to turbine engine condition monitoring[J]. Journal of Aircraft, 1973, 10(7): 400-406.
|
| [13] |
OGAJI S O T, SAMPATH S, SINGH R, et al. Parameter selection for diagnosing a gas turbine s performance deterioration[J]. Applied Energy, 2002, 73(1): 25-46.
|
| [14] |
张宏伟, 金光日, 施吉林. 计算机科学计算[M]. 北京: 高等教育出版社, 2013.
|
| [15] |
KURZKE J. GasTurb 12: design and off-design performance of gas turbines[M]. Germany: GasTurb Gmbh, 2015.
|
| [16] |
STAMATIS A, MATHIOUDAKIS K, PAPAILIOU K D. Optimal measurement and health index selection for gas turbine performance status and fault diagnosis[J]. Journal of Engineering for Gas Turbines and Power, 1992, 114(2): 209-216.
|
| [17] |
PROVOST M J. The use of optimal estimation techniques in the analysis of gas turbine[D]. Cranfield, UK: Cranfield University, 1994.
|
| [18] |
KAMBOUKOS P, OIKONOMOU P, STAMATIS A, et al. Optimizing diagnostic effectiveness of mixed turbofans by means of adaptive modeling and choice of appropriate monitoring parameters[R]. Defense Technical Information Center Compilation Part Notice ADP014126, 2001.
|
| [19] |
MATHIOUDAKIS K, KAMBOUKOS P. Assessment of the effectiveness of gas path diagnosis schemes[J]. Journal of Engineering for Gas Turbines and Power, 2006, 128(1): 57-63.
|
| [20] |
WALSH P B, FLETCHER P. Gas turbine performance[M]. Oxford, UK: Blackwell Sciences Linited, 2004.
|
| [21] |
KURZKE J. Calculation of installation effects within performance computer programs[R]. Advisory Group for Aerospace Research and Development Lecture Series 183, 1992.
|
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