航空发动机砂尘吸入物静电监测仿真实验
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摘要
提出了航空发动机砂尘吸入物静电监测的仿真实验方法,实验以软件ANSYS电磁场分析模块建立有限元模型为基础,模拟不同粒径、荷质比、运动速度及质量浓度情况下砂尘吸入物的静电感应信号,并分别从时域与频域对感应电荷与电压信号进行分析,研究砂尘吸入物的粒径及其他宏观参数与静电监测信号之间的关系,建立用以表征砂尘颗粒粒径大小的特征指标。基于IDMS(进气监测系统)感应电压信号功率谱密度分布建立了特征向量,并以其曼哈顿距离与欧氏距离作为特征指标表征砂尘颗粒粒径大小。经仿真实验验证:特征指标与砂尘粒径呈正相关,且不受砂尘吸入物运动速度及荷质比变化的影响,但受砂尘吸入物质量浓度影响。进一步研究将利用质量浓度对特征指标进行修正,并开展验证实验。
A simulation experiment method for electrostatic monitoring of aero engine dust ingestion was proposed.Based on ANSYS electromagnetic field analysis module,a finite element model was established,the electrostatic induction signals of sand dust ingestion under different particle sizes,charge-mass ratios,moving speeds and mass concentrations were simulated experimentally,and the induced charge and voltage signals were analyzed from the time domain and frequency domain,respectively.The relationship between particle size and other macroscopic parameters of sand ingestion and electrostatic monitoring signals was studied to establish a characteristic index used to characterize the particle size of sand dust particles.The eigenvectors were established based on the power spectral density distri-butions of the IDMS(ingested debris monitoring system)induced voltage signals.The Manhattan distance and the Euclidean distance were used as characteristic indicators to characterize the sand particle size.Simulation results showed that the characteristic index was positively correlated with sand dust particle size,and it was not affected by the movement velocity and charge-mass ratio of sand ingestion,but affected by the sand dust ingestion mass concentration.Further studies will use quality concentration to correct the characteristics of the indicators and carry out verification experiments.
A simulation experiment method for electrostatic monitoring of aero engine dust ingestion was proposed.Based on ANSYS electromagnetic field analysis module,a finite element model was established,the electrostatic induction signals of sand dust ingestion under different particle sizes,charge-mass ratios,moving speeds and mass concentrations were simulated experimentally,and the induced charge and voltage signals were analyzed from the time domain and frequency domain,respectively.The relationship between particle size and other macroscopic parameters of sand ingestion and electrostatic monitoring signals was studied to establish a characteristic index used to characterize the particle size of sand dust particles.The eigenvectors were established based on the power spectral density distri-butions of the IDMS(ingested debris monitoring system)induced voltage signals.The Manhattan distance and the Euclidean distance were used as characteristic indicators to characterize the sand particle size.Simulation results showed that the characteristic index was positively correlated with sand dust particle size,and it was not affected by the movement velocity and charge-mass ratio of sand ingestion,but affected by the sand dust ingestion mass concentration.Further studies will use quality concentration to correct the characteristics of the indicators and carry out verification experiments.
引文
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[19]殷逸冰,左洪福,付宇,等.某型航空涡扇发动机静电传感器机载化监测实验[J].航空动力学报,2016,31(12):3054-3063.YIN Yibing,ZUO Hongfu,FU Yu,et al.Experiment on electrostatic sensors airborne monitoring of a turbofan aeroengine[J].Journal of Aerospace Power,2016,31(12):3054-3063.(in Chinese)
[20]左洪福,付宇,刘鹏鹏,等.航空发动机吸入物在线静电监测系统的模拟实验装置:CN103063437A[P].2013-04-24.
[21]孙见忠,刘信超,刘若晨,等.基于IDMS的航空发动机砂尘吸入物定量监测仿真研究[J].航空学报,2017,38(8):182-192.SUN Jianzhong,LIU Xinzhao,LIU Ruochen,et al.IDMS based method for quantitative monitoring of aero-engine ingested airborne sands[J].Acta Aeronautica et Astronautica Sinica,2017,38(8):182-192.(in Chinese)
[22]文振华,左洪福,李耀华.气路颗粒静电监测技术及实验[J].航空动力学报,2008,23(12):2321-2326.WEN Zhenhua,ZUO Hongfu,LI Yaohua.Gas path debris electrostatic monitoring technology and experiment.[J].Journal of Aerospace Power,2008,23(12):2321-2326.(in Chinese)
[23]李耀华,左洪福,文振华.航空发动机气路颗粒静电监测技术模拟实验[J].航空学报,2009,30(4):604-608.LI Yaohua,ZUO Hongfu,WEN Zhenhua.Simulated experiment of aircraft engine gas path debris monitoring technology[J].Aeronautica et Astronautica Sinica,2009,30(4):604-608.(in Chinese)
[24]殷逸冰,左洪福,文振华,等.航空发动机吸入颗粒物静电感应特性的模拟实验及分析[J].航空学报,2015,36(2):691-702.YIN Yibing,ZUO Hongfu,WEN Zhenhua,et al.Electrostatic induction characteristics of aeroengine inhaled particles:simulated experiment and analysis[J].Aeronautica et Astronautica Sinica,2015,36(2):691-702.(in Chinese)
[25] LIU Ruochen,ZUO Hongfu,SUN Jianzhong,et al.Simulation of electrostatic oil line sensing and validation using experimental results[J].Tribology International,2017,105(1):15-26.
[26]冒慧杰,左洪福,黄文杰,等.航空新型静电传感器建模与标定实验[J].航空学报,2016,37(7):2242-2250.MAO Huijie,ZUO Hongfu,HUANG Wenjie,et al.Mathematical modeling and calibration experiment of new electrostatic sensor in aviation[J].Aeronautica et Astronautica Sinica,2016,37(7):2242-2250.(in Chinese)
[27]殷逸冰,左洪福,冒慧杰,等.航空发动机进气道静电传感器空间模型解析及感应信号影响因素实验分析[J].仪器仪表学报,2015,36(4):795-803.YIN Yibing,ZUO Hongfu,MAO Huijie,et al.Spatial alysis of inlet electrostatic sensor and experimental study on influence factors of charge-induced signal[J].Chinese Journal of Scientific Instrument,2015,36(4):795-803.(in Chinese)
[28]孙见忠,左洪福,詹志娟,等.涡轴发动机尾气静电信号影响因素分析[J].航空学报,2012,33(3):412-420.SUN Jianzhong,ZUO Hongfu,ZHAN Zhijuan,et al.Analysis of factors influencing the exhaust gas electrostatic monitoring signals of a turbo-shaft engine[J].Aeronautica et Astronautica Sinica,2012,33(3):412-420.(in Chinese)
[2] HAMED A,TABAKOFF W C,WENGLARZ R V.Erosion and deposition in turbomachinery[J].Journal of Propulsion and Power,2014,22(2):350-360.
[3] CLARKSON R J,MAJEWICZ E J,MACK P.A re-evaluation of the 2010quantitative understanding of the effects volcanic ash has on gas turbine engines[J].Journal of Aerospace Engineering,2016,230(12):2274-2291.
[4] DUNN M G,PADOVA C,MOLLER J E,et al.Performance deterioration of a turbofan and a turbojet engine upon exposure to a dust environment[J].Journal of Engineering for Gas Turbines and Power,1987,109(3):336-343.
[5] CARDWELL N D,THOLE K A,BURD S W.Investigation of sand blocking within impingement and film-cooling holes[J].Journal of Turbomachinery,2010,132(2):021020.1-021020.10.
[6]曾平君,孙姝,黄河峡,等.直升机/粒子分离器一体化流场特性:第1部分前进比的影响[J].航空动力学报,2014,29(4):858-866.ZENG Pingjun,SUN Shu,HUANG Hexia,et al.Integrated flow field characteristics of helicopter/particle separator:Part 1influence of advance ratio[J].Journal of Aerospace Power,2014,29(4):858-866.(in Chinese)
[7] HIGGINS T J.Adaptive inertial particle separator:EP1908939[P].2008-04-09.
[8]国防科学技术工业委员会.航空涡喷涡扇发动机吞砂试验要求:GJB2046-94[S].北京:中国航空综合技术研究所,1994:1-6.
[9]中国人民解放军总装备部.军用装备实验室环境试验方法:第12部分砂尘试验:GJB150.12A-2009[S].北京:总装备部军标出版发行部,2009:1-10.
[10]马志宏,苏兴荣.砂尘环境对军用装备磨损和腐蚀的影响[J].兵工学报,2005,26(4):553-556.MA Zhihong,SU Xingrong.Abrasion anderosion on military equipment by sand and dust[J].Acta Armamentarii,2005,26(4):553-556.(in Chinese)
[11]付焱晶.直升机发动机进气防护装置研究[D].沈阳:东北大学,2011.FU Yanjing.Research on helicopter engine air intake protection device[D].Shenyang:Northeastern University,2011.(in Chinese)
[12] BARBOZA K,EKKAD S,NG W,et al.A diagnostic technique for particle characterization using laser light extinction[R].ASME Paper GT2015-43347,2015.
[13] SCALA S M,KONRAD M,MASON R B,et al.Sensor requirements to monitor the real time performance of a gas turbine engine undergoing compressor blade erosion[R].AIAA-2004-3548,2004.
[14] POWRIE H E G,FISHER C E.Engine health monitoring:towards total prognostics[R].Aspen:IEEE Aerospace Conference,1999.
[15]孙见忠,左洪福,刘鹏鹏,等.航空发动机尾气静电信号基线模型分析及应用[J].航空动力学报,2013,28(3):531-540.SUN Jianzhong,ZUO Hongfu,LIU Pengpeng,et al.Analysis and application of baseline model of aero-engine exhaust gas electrostatic monitoring signals[J].Journal of Aerospace Power,2013,28(3):531-540.(in Chinese)
[16] SUN Jianzhong,ZUO Hongfu,LIU Pengpeng,et al.Experimental study on engine gas-path components fault monitoring using exhaust gas electrostatic signal[J].Measurement Science and Technology,2013,24(12):125107.1-125107.8.
[17] LIU Pengpeng,ZUO Hongfu,SUN Jianzhong.The electrostatic sensor applied to the online monitoring experiments of combustor carbon deposition fault in aero-engine[J].IEEE Sensors Journal,2014,14(3):686-694.
[18] SUN Jianzhong,LIU Pengpeng,YIN Yibing,et al.Symbolic time-series analysis of gas turbine gas path electrostatic monitoring data[J].Journal of Engineering for Gas Turbines and Power,2017,139(10):1-7.
[19]殷逸冰,左洪福,付宇,等.某型航空涡扇发动机静电传感器机载化监测实验[J].航空动力学报,2016,31(12):3054-3063.YIN Yibing,ZUO Hongfu,FU Yu,et al.Experiment on electrostatic sensors airborne monitoring of a turbofan aeroengine[J].Journal of Aerospace Power,2016,31(12):3054-3063.(in Chinese)
[20]左洪福,付宇,刘鹏鹏,等.航空发动机吸入物在线静电监测系统的模拟实验装置:CN103063437A[P].2013-04-24.
[21]孙见忠,刘信超,刘若晨,等.基于IDMS的航空发动机砂尘吸入物定量监测仿真研究[J].航空学报,2017,38(8):182-192.SUN Jianzhong,LIU Xinzhao,LIU Ruochen,et al.IDMS based method for quantitative monitoring of aero-engine ingested airborne sands[J].Acta Aeronautica et Astronautica Sinica,2017,38(8):182-192.(in Chinese)
[22]文振华,左洪福,李耀华.气路颗粒静电监测技术及实验[J].航空动力学报,2008,23(12):2321-2326.WEN Zhenhua,ZUO Hongfu,LI Yaohua.Gas path debris electrostatic monitoring technology and experiment.[J].Journal of Aerospace Power,2008,23(12):2321-2326.(in Chinese)
[23]李耀华,左洪福,文振华.航空发动机气路颗粒静电监测技术模拟实验[J].航空学报,2009,30(4):604-608.LI Yaohua,ZUO Hongfu,WEN Zhenhua.Simulated experiment of aircraft engine gas path debris monitoring technology[J].Aeronautica et Astronautica Sinica,2009,30(4):604-608.(in Chinese)
[24]殷逸冰,左洪福,文振华,等.航空发动机吸入颗粒物静电感应特性的模拟实验及分析[J].航空学报,2015,36(2):691-702.YIN Yibing,ZUO Hongfu,WEN Zhenhua,et al.Electrostatic induction characteristics of aeroengine inhaled particles:simulated experiment and analysis[J].Aeronautica et Astronautica Sinica,2015,36(2):691-702.(in Chinese)
[25] LIU Ruochen,ZUO Hongfu,SUN Jianzhong,et al.Simulation of electrostatic oil line sensing and validation using experimental results[J].Tribology International,2017,105(1):15-26.
[26]冒慧杰,左洪福,黄文杰,等.航空新型静电传感器建模与标定实验[J].航空学报,2016,37(7):2242-2250.MAO Huijie,ZUO Hongfu,HUANG Wenjie,et al.Mathematical modeling and calibration experiment of new electrostatic sensor in aviation[J].Aeronautica et Astronautica Sinica,2016,37(7):2242-2250.(in Chinese)
[27]殷逸冰,左洪福,冒慧杰,等.航空发动机进气道静电传感器空间模型解析及感应信号影响因素实验分析[J].仪器仪表学报,2015,36(4):795-803.YIN Yibing,ZUO Hongfu,MAO Huijie,et al.Spatial alysis of inlet electrostatic sensor and experimental study on influence factors of charge-induced signal[J].Chinese Journal of Scientific Instrument,2015,36(4):795-803.(in Chinese)
[28]孙见忠,左洪福,詹志娟,等.涡轴发动机尾气静电信号影响因素分析[J].航空学报,2012,33(3):412-420.SUN Jianzhong,ZUO Hongfu,ZHAN Zhijuan,et al.Analysis of factors influencing the exhaust gas electrostatic monitoring signals of a turbo-shaft engine[J].Aeronautica et Astronautica Sinica,2012,33(3):412-420.(in Chinese)