Influence of Jet Parameters on the Aero Engine Cleaning Flow Field
DOI:
https://doi.org/10.13052/ijfp1439-9776.2434Keywords:
Aero-engine, Cleaning flow field, Jet parameters, Online cleaningAbstract
Engine blades will be contaminated during operation, On-line cleaning is the main method to solve blade fouling. In order to study the effect of jet parameters on the flow field of aero-engine cleaning, a low-pressure first-stage rotor flow channel model of a CFM56-7B engine was established, and the changes in the parameter of the cleaning flow field were analyzed under different incident pressures. The results showed that as the jet pressure increased, the average pressure along the blade height increased, whereas the average pressure along the cross section at 50% blade chord length decreased. The vorticity along the blade height cross section increased first and then decreased as the jet pressure increased, whereas the vorticity along the blade chord length cross section remained basically unchanged after the jet pressure reached 3 bar. Comparing experimental results, when the pressure is maintained at 3 bar, better cleaning effect can be obtained. The research provides a theoretical basis for the on-line cleaning.
Downloads
References
Suman, A., Vulpio, A., Casari, N., Pinelli, M., Kurz, R., and Brun, K. (March 31, 2021). “Deposition Pattern Analysis on a Fouled Multistage Test Compressor.” ASME. J. Eng. Gas Turbines Power. August 2021; 143(8): 081006.
Kurz R, Musgrove G, Brun K. Experimental evaluation of compressor blade fouling[J]. Journal of Engineering for Gas Turbines and Power, 2017, 139(3).
WANG Chunhui, XU Zhipeng, YANG Xinyi, Numerical Simulation Study on Two Phase Flow Field of Cleaning Aero Engine, System Simulation Technology, 11(2):101–105+
, 2015
Chiariotti A, Borello D, Venturini P, et al. Erosion prediction of gas turbine compressor blades subjected to water washing process[C]//Asia Turbomachinery & Pump Symposium. 2018 Proceedings. Turbomachinery Laboratory, Texas A&M Engineering Experiment Station, 2018.
Li Benwei, Wu Heng, Zhang Yong, Lin Xuesen, The strength calculation and vibration analysis of an on-line cleaning jet frame of an engine, Journal of Navy Aviation Engineering College, 32(2):235–240, 2017
Li Benwei, Wu Heng, Shen Wei, etc. Selection and test of on-line channel cleaning injection parameters for a turbofan engine [J]. Journal of Aerospace Power, 2018, v.33 (05): 10–17.
Ishaque G, Zheng Q, Ahmad N, Luo M, Aziz A. Aerodynamic performance investigation of an axial flow compressor under water ingestion. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy. June 2022.
Yang L, Zhang H, Lin A. Effects of water ingestion on the tip clearance flow in compressor rotors. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering. 2019;233(11):4235–4246.
Zhu Lei, Zuo Hong-fu, Cai Jing, Zhang Chi. Optimization Method of Civil Engine Washing Interval Based on Operational Reliability [J]. Aeronautical Computing Technique, 2014, 44(3): 47–52.
Fu Xuyun, Zhong Shisheng, Jiang Haibo, Mao Haoquan, Quantitative evaluation method of civil aviation engine washing effect, Aerospace engineering progress, 6(3): 347–353, 2015.
Chellini, Roberto, Wash nozzles designed for larger turbines, Diesel and Gas Turbine Publications, 36(4): 332–345, May, 2004.
Montanari M, Ronchi F, Rossi C, et al. Control and performance evaluation of a clutch servo system with hydraulic actuation[J]. Control Engineering Practice, 2004, 12(11): 1369–1379.
Molitor D A. Hydraulics of Rivers, Weirs and Sluices: The Derivation of New and More Accurate Formulas for Discharge Through Rivers and Canals Obstructed by Weirs, Sluices, Etc., According to the Principles of Gustav Ritter Von Wex[M]. J. Wiley & sons, 1908.
Castro, J.M. and Jackson, P.L. (2001), Bankfull Discharge Recurrence Intervals and Regional Hydraulic Geometry Relationships: Patterns in the Pacific Northwest, USA. JAWRA Journal of the American Water Resources Association, 37: 1249–1262.
Wu J C. Elements of vorticity aerodynamics, pp. 14–19, Shanghai Jiaotong University Press, shanghai, 2014.
Menter F R, Two-equation eddy-viscosity turbulence models for engineering applications, AIAA Journal, 32(8) 1994.
Lighthill M J, boundary layer theory in laminar boundary layer, pp. 46–113, Oxford University Press, Oxford, 1963.
Stroud I, Xirouchakis P C. STL. Advances in Engineering Software, pp. 83–95, Elsevier Ltd, Oxford, 2000.
Zhiqi Y A N, Zhong S, Lin L I N, et al. A step parameters prediction model based on transfer process neural network for exhaust gas temperature estimation after washing aero-engines[J]. Chinese Journal of Aeronautics, 2022, 35(3): 98–111.
