Aeronautical and Space-Rocket Engineering
Thermal engines, electric propulsion and power plants for flying vehicles
DOI: 10.34759/vst-2019-4-123-133
Аuthors
*, **Central Institute of Aviation Motors named after P.I. Baranov, CIAM, 2, Aviamotornaya str., Moscow, 111116, Russia
*e-mail: yaezrokhi@ciam.ru
**e-mail: pavelk@ciam.ru
Abstract
The article presents general approaches to of aviation gas turbine engine operation modelling in icing conditions.
Component-level engine model is considered, in which the parameters, determining each component operation mode, represent a set of independent variables. These variables values are computed as the result of solving a system of nonlinear equations that determine conditions for the engine system components concurrent operation and its control laws Airflow continuity with account for its bleed and leaks, compressor and turbine power balance for the shaft of each engine are related to the concurrent work conditions, while fuel feeding conditions to the main combustion chamber and afterburner, as well as conditions, determining position of the nozzle actuator inlet guide vanes are related to the control laws.
It is assumed, that the ice formation in air-gas channel of this or that compressor stage, which leads to its airflow capacity reduction due to reduction of its conditional cylinder area of the inlet cross-section. The losses level the of inlet total pressure increase in the compression duct in consequence of inevitably occurring deterioration of compressor elements flow-around due to icing. Quantitative values of these impacts are determined from the engine gas-flow channel sizes, rate of ice growth, as well as the results of well-known generalizations on the unevenness effect of gas-flow channel on the total pressure losses in it.
Ice accretion rate may be set as data of engine testing results in icing conditions, or as a variable allowing evaluating its effect on the main engine performance parameters (thrust, rotation frequency, fuel consumption etc.). The other way to identify the ice accretion rate is solving of complicated thermodynamic problem of ice accretion on this of that part of engine duct surfaces.
The possibilities of the developed mathematical model were demonstrated based on data of test results of the ALF502R turbofan engine tested in ice crystal conditions in NASA Glenn Research Center. Good calculated and tests results matching herewith was demonstrated, which indicates the principal and proved approaches of turbofan operation modeling under the influence of this external factor.
Keywords:
mathematical modeling, gas-turbine engine, icing, engine performanceReferences
-
Trunov O.K. Obledenenie samoletov i sredstva bor’by s nim (Aircraft icing and means of its prevention), Moscow, Mashinostroenie, 1965, 247 p.
-
Meshcheryakova T.P. Proektirovanie sistem zashchity samoletov i vertoletov (Design of aircraft and helicopters protection systems), Moscow, Mashinostroenie, 1977, 239 p.
-
Shakina N.P., Gorlach I.A., Skriptunova E.N., Komas’ko N.I. Meteorologiya igidrologiya, 2014, no. 2, pp. 85-91.
-
Demidov A.I., Shishelova T.I. Mezhdunarodnyi zhurnal eksperimental’nogo obrazovaniya, 2014, no. 8-2, pp. 88-89. URL: http://www.expeducation.ru/ru/article/view?id=5897
-
Shevyakov V.I. Nauchnyi vestnik MGTU GA, 2011, no. 172, pp. 148-152.
-
Antonov A.N., Aksenov N.K., Goryachev A.V., Chivanov S.V. Osnovy rascheta, konstruirovaniya i ispytanii protivoobledenitel ’nykh sistem aviatsionnykh gazoturbinnykh dvigatelei (Calculation, design and testing fundamentals of aircraft gas turbine engines antiicing systems), Moscow, TsIAM im. P.I. Baranova, 2001, 267 p.
-
Ivanova A.R. Gidrometeorologicheskie issledovaniya i prognozy, 2018, no. 2(368), pp. 95-109.
-
Kadzharduzov P.A., Ezrokhi Yu.A. Aviatsionnye dvigateli, 2019, no. 1(2), pp. 75-81.
-
Jorgenson P.C., Veres J.P., Jones S.M. Modeling the Deterioration of Engine and Low Pressure Compressor Performance During a Rollback Event due to Ice Accretion. 50th AIAA/ASME/SAE/ASEE Joint Propulsion Conference. AIAA-2014-3842. DOI:10.2514/6.2014-3842
-
Goodwin R.V., Fuleki D.M. Turbofan Ice Crystal Rollback Investigation and Preparations Leading to the Second, Heavily Instrumented, Ice Crystal Engine Test at NASA PSL-3 test Facility. 8th AIAA Atmospheric and Space Environments Conference. AIAA-2016-3892. DOI: 10.2514/6.2016-3892
-
Veres J.P., Jorgenson P.C.E., Jones S.M., Nili S. Modeling of a Turbofan Engine with Ice Crystal Ingestion in the NASA Propulsion System Laboratory. ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. GT2017-63202. DOI: 10.1115/GT2017-63202
-
Kashevarov A.V., Stasenko A.L. Prikladnaya mekhanika i tekhnicheskaya fizika, 2018, vol. 59, no. 4(350), pp. 80-88. DOI: 10.15372/PMTF20180410
-
Prikhod’ko A.A., Alekseenko S.V. Aviatsionno- kosmicheskaya tekhnika i tekhnologiya, 2013, no. 4(101), pp. 59-67.
-
Norde E., van der Weide E.T.A., Hoeijmakers H.W.M. Eulerian method for ice crystal icing. AIAA Journal, 2018, vol. 56, no. 1, pp. 222-234. DOI: 10.2514/ 1.J056184
-
Berkovich A.L. Izvestiya vysshikh uchebnykh zavedenii. Energetika, 1987, no. 9, pp. 23-32.
-
Ezrokhi Yu.A. Mashinostroenie. Entsiklopediya. T. IV-21 “Samolety i vertolety”. Kn.3 “Aviatsionnye dvigateli”. Moscow, Mashinostroenie, 2010, pp. 341-353.
-
Shlyakhtenko S.M., Sosunov V.A. (red.) Teoriya dvukhkonturnykh turboreaktivnykh dvigatelei (Theory of bypass turbojet engines), Moscow, Mashinostroenie, 1979, 431 p.
-
Gurevich O.S., Gol’berg F.D., Petukhov A.A., Zuev S.A. “Virtual engine” software usage for air bleed control in GTE units’ cooling systems. Aerospace MAI Journal, 2017, vol. 24, no. 3, pp. 83-94.
-
Ezrokhi Yu.A. Voprosy aviatsionnoi nauki i tekhniki. Ser. Aviatsionnoe dvigatelestroenie: nauchno-tekhnicheskii sbornik, 1991, no. 3, pp. 21-36.
-
Ezrokhi Yu.A. Voprosy aviatsionnoi nauki i tekhniki. Ser. Aviatsionnoe dvigatelestroenie: nauchno-tekhnicheskii sbornik, 1995, no. 1, pp. 28-51.
-
Veres J.P., Jorgenson P.C.E., Jones S.M. Modeling of Highly Instrumented Honeuwell Turbofan Engine Tested with Ice Crystal Ingestion in the NASA Propulsion System Laboratory. 8th AIAA Atmospheric and Space Environments Conference. AIAA-2016-3895. DOI: 10.2514/6.2016-3895
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