航空活塞发动机涡轮增压器失效关键影响因素分级
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摘要
航空活塞发动机涡轮增压技术的应用大幅增加了动力系统的复杂性,与增压器相关的安全问题日趋严峻。以某型航空活塞发动机及其两级增压器为对象,聚焦失效诱因的判断方法研究,在建立的整机系统模型基础上,提出一种改进的对应分析法实现对增压器失效模式关键影响因素的分级。结果显示:通过列轮廓坐标随关键影响因素的数值偏离程度表明影响大小的分级方法,可以有效辨识出失效的关键影响因素,废气阀直径是影响各工作边界安全裕度的首要因素,需首先加以控制。
Using turbocharging technology dramatically increases the complexity of piston engine systems and the safety issues associated with turbocharger are becoming urgent. A typical two-stage turbo supercharged piston engine is considered and the judgment method for failure of incentives is focused in this study. Based on the built whole engine system model,a modified correspondence analysis method is proposed,which implements the classification of factors on the failure modes. The results show that the key influence factors and potential causes of coupling failure for turbo supercharged piston engine in actual motion can be judged through changed column contour coordinates in proposed classification method. The test presents that the diameter of exhaust valve is the dominant factors for safety margin boundary and needs to be controlled primarily.
Using turbocharging technology dramatically increases the complexity of piston engine systems and the safety issues associated with turbocharger are becoming urgent. A typical two-stage turbo supercharged piston engine is considered and the judgment method for failure of incentives is focused in this study. Based on the built whole engine system model,a modified correspondence analysis method is proposed,which implements the classification of factors on the failure modes. The results show that the key influence factors and potential causes of coupling failure for turbo supercharged piston engine in actual motion can be judged through changed column contour coordinates in proposed classification method. The test presents that the diameter of exhaust valve is the dominant factors for safety margin boundary and needs to be controlled primarily.
引文
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[25]胡延领,徐斌,杨世春.基于螺旋桨特性的活塞发动机涡轮废气阀的调节[J].航空动力学报,2011,26(8):1814-1818.HU Y L,XU B,YANG S C.Regulating turbine exhaust valve about piston engine based on analyzing propeller[J].Journal of Aerospace Power,2011,26(8):1814-1818(in Chinese).
[2]GILBERT G A.FAA will study accidents of turbocharged aircraft[J].Business&Commercial Aviation,1994,75(2):18.
[3]PETER K.Turbocharger trouble:The finer points of turbocharged engine operation[EB/OL].[2019-04-01].http:∥www.planeandpilotmag.com/pilot-talk/ntsb-debriefer/turbochargertrouble.html.2013-09-24.
[4]Emergency procedures for turbocharger failures sought[R].Air Safety Week,2008,22(21):1-5.
[5]ZHAI L M,LUO Y Y,WANG Z W,et al.Failure analysis and optimization of the rotor system in a diesel turbocharger for rotor speed-up test[J].Advances in Mechanical Engineering,2014,6:1-8.
[6]鲍梦瑶,李果,丁水汀.基于模型的航空发动机系统安全性研究[J].航空动力学报,2016,31(8):2029-2039.BAO M Y,LI G,DING S T.Research on model-based safety analysis for aero-engine[J].Journal of Aerospace Power,2016,31(8):2029-2039(in Chinese).
[7]Rotax Aircraft Engine.Operation manual for Rotax engine type914 F[R].Gunskirchen:BRP-Rotax GmbH&Co.KG,2007.
[8]HIRSCHFELD H O,WISHART J.A connection between correlation and contingency[C]∥Mathematical Proceedings of the Cambridge Philosophical Society,1935:520-524.
[9]MICHAEL G.International encyclopedia of the social&behavioral sciences:Correspondence analysis[M].2nd ed.Amsterdam:Elsevier,2015.
[10]GREENACRE M J.Correspondence analysis in practice[M].2nd ed.London:Chapman&Hall/CRC,2007.
[11]SOURIAL N,WOLFSON C,ZHU B,et al.Correspondence analysis is a useful tool to uncover the relationships among categorical variables[J].Journal of Clinical Epidemiology,2010,63(6):638-646.
[12]何晓群.多元统计分析[M].2版.北京:中国人民大学出版社,2008.HE X Q.Multivariate statistical analysis[M].2nd ed.Beijing:China Renmin University Press,2008(in Chinese).
[13]JOBSON J D.Applied multivariate data analysis.Volume 2.Categorical and multivariate methods[M].New York:Springer Verlag,1992.
[14]PUSHA S,GUDI R D,NORONHA S B.Polar classification with correspondence analysis for fault isolation[J].Journal of Process Control,2009,19(4):656-663.
[15]FITHIAN W,JOSSE J.Multiple correspondence analysis and the multilogit bilinear model[J].Journal of Multivariate Analysis,2017,157:87-102.
[16]TAN Q,BRUSGAARD K,KRUSE T A,et al.Correspondence analysis of microarray time-course data in case-control design[J].Journal of Biomedical Informatics,2004,37(5):358-365.
[17]BOX G E P,WILSON K B.On the experimental attainment of optimum conditions[J].Joumal of the Royal Statistical Society Series B-Methodological,1951,13(1):1-45.
[18]BOX G E P,DRAPER N R.The choice of a second order rotatable design[J].Biometrika,1963,50(3/4):335-352.
[19]HAN L,BENSELER S M,TYRRELL P N.Cluster and multiple correspondence analyses in rheumatology:Paths to uncovering relationships in a sea of data[J].Rheumatic Disease Clinics of North America,2018,44(2):349-360.
[20]MOHAMMAD A G.Reliability analysis of vibrating electronic assemblies using analytical solutions and response surface methodology[J].Microelectronics Reliability,2018,84:238-247.
[21]鲍梦瑶.基于模型的航空发动机增压系统安全性分析方法研究[D].北京:北京航空航天大学,2013.BAO M Y.Research on model-based safety analysis for aero-engine turbocharging system[D].Beijing:Beihang University,2013(in Chinese).
[22]TORRES A,VELDEN M.Perceptual mapping of multiple variable batteries by plotting supplementary variables in correspondence analysis of rating data[J].Food Quality and Preference,2007,18(1):121-129.
[23]薛觉民,韩春琏.对应分析应用中的量纲问题[J].山西大学学报(自然科学版),1997,20(4):435-439.XUE J M,HAN C L.On the dimension problem in appliance of correspondence analysis[J].Journal of Shanxi University(Natural Science Edition),1997,20(4):435-439(in Chinese).
[24]项可风,吴启光.试验设计与数据分析[M].上海:上海科学技术出版社,1989.XIANG K F,WU Q G.Experiment design and date processing[M].Shanghai:Shanghai Scientific&Technical Publishers,1989(in Chinese).
[25]胡延领,徐斌,杨世春.基于螺旋桨特性的活塞发动机涡轮废气阀的调节[J].航空动力学报,2011,26(8):1814-1818.HU Y L,XU B,YANG S C.Regulating turbine exhaust valve about piston engine based on analyzing propeller[J].Journal of Aerospace Power,2011,26(8):1814-1818(in Chinese).
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