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Stochastic Optimization Models and Method in the Turbomachines System Improvement Problem

[+] Author Affiliations
Mykhaylo L. Ugryumov, Victoria E. Afanasjevska, Aleksej A. Tronchuk

National Aerospace University named after N.Y. Zhukovsky (KhAI), Kharkiv, Ukraine

Andriy V. Myenyaylov

JSC “Motor Sich”, Zaporozhye, Ukraine

Paper No. AJK2011-22057, pp. 755-761; 7 pages
doi:10.1115/AJK2011-22057
From:
  • ASME-JSME-KSME 2011 Joint Fluids Engineering Conference
  • ASME-JSME-KSME 2011 Joint Fluids Engineering Conference: Volume 1, Symposia – Parts A, B, C, and D
  • Hamamatsu, Japan, July 24–29, 2011
  • Conference Sponsors: Fluids Engineering Division
  • ISBN: 978-0-7918-4440-3
  • Copyright © 2011 by ASME

abstract

The approach of system improvement, methodology and information technology of turbofan engine elements main parameters and operating tolerances robust estimation on basis of inverse problems concept by stochastic optimization problem are proposed. The method of multicriterion system modification problem quasisolution searching with input data uncertainly and with bordering of feasible solution class is offered. Quasisolution synthesis is realized by regularization of smoothing functional minimum searching with using the A.N. Tihonov’s method. The multicriterion modification problem numerical solution searching evolution method was created, it based on genetic algorithm using. On basis of development methodology the system aerodynamic turbofan engine (TFE) compressor improvement were made.

Copyright © 2011 by ASME

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