Problems of ultralow power turbine design in a turbine drive system


Ultralow power turbine drives (ULPTD) are used in the aerospace industry and in other sectors of the economy as source of energy for ancillary systems. At present, the actual task is improvement of their efficiency. One of the most promising areas for its increase is to optimize the parameters of turbine drive already in the early stages of design.The article discusses the design of optimalultralow power turbine (ULPT), which is the main hub of ultralow power turbine drive. The basic problems of ultralow power turbine drive system optimization through a systemic approach to design. The problem of optimization is tasked as a problem of the conventional vector structural-parametric optimization. Methods and algorithms for its solution, justified criteria for ULPTD effectiveness evaluating, selected optimized parameters of axial and centrifugal turbines types are described. As the performance criteria is selected coefficient of performance (COP) of the turbine, its mass, the specific consumption of the working fluid, the cost of operating turbine drive. Expediency calculation mode selection in the optimization process of regime parameters evaluation criteria for generalized on ULPTD modes efficiency is grounded. Results on the effect of uncertainty on the value of project information criteria are given.

About the authors

D. S. Kalabuhov

Samara State Aerospace University, Samara

Author for correspondence.

Junior researcher

Russian Federation

V. A. Grigoryev

Samara State Aerospace University, Samara


Doctor of Science (Engineering)

Professor of the aircraft engines theory department

Russian Federation

V. M. Rad’ko

Samara State Aerospace University, Samara


Candidate of Science (Engineering)

Associate professor of the aircraft engines theory department

Russian Federation


  1. Podinovskii V.V., Nogin V.D. Paretooptimal'nye resheniya mnogokriterial'nykh zadach [Pareto-optimal solutions of multiobjective problems]. Мoscow: FIZMATLIT Publ., 2007. 256 p.
  2. Trifonov A.G. Optimization Toolbox 2.2. Rukovodstvo pol'zovatelya [User manual]. Available at:
  3. Panchenko T.V. Geneticheskie algoritmy: uchebno-metodicheskoe posobie / pod red. Yu.Yu. Tarasevicha [Genetic algorithms: a teaching manual / ed. by Yu.Yu. Tarasevich]. Astrakhan: Astrakhan University Publ., 2007. 87 p.
  4. Gembicki F.W. Vector Optimization for Control with Performance and Parameter Sensitivity Indices. Ph.D. Thesis, Case Western Reserve Univ. Cleveland, Ohio, 1974.
  5. Maslov V.G., Kuz'michev V.S., Kovartsev A.N., Grigoriev V.A. Teoriya i metody nachal'nykh etapov proektirovaniya aviatsionnykh GTD: ucheb. posobie [Theory and methods of the GTE initial design stages]. Samara: Samara State Aerospace University Publ., 1996. 147 p.
  6. Izmailov A.F., Solodov M.V. Chislennye metody optimizatsii: uchebnoe posobie [Numerical optimization: a tutorial]. Мoscow: FIZMATLIT Publ., 2005. 304 p.
  7. Grigoriev V.A., Rad’ko V.M., Kalabuhov D.S. Selection and justification of criteria for evaluating of ultralow power turbine drive efficiency // Proceedings of the International Scientific and Technical Conference "Problems and prospects of the engine production." Part 1. Samara: Samara State Aerospace University Publ., 2011. P. 42-43. (In Russ.)
  8. Matveev V.N. The method of design calculation of multimode turbine drive based on centripetal turbines // Vestnik Samarskogo gosudarstvennogo aerokosmicheskogo universiteta. Seriya: Problemy razvitiya dvigatelestroeniya. 1999. Iss. 3, part 2. P. 14-19. (In Russ.)
  9. Grigoriev V.A., Rad’ko V.M., Kalabuhov D.S. Рlanning a factorial experiment for testing a single-stage ultralow power turbine // Vestnik of the Samara State Aerospace University. 2011. No. 6(30). P. 81-91 (In Russ.)



Abstract: 4170

PDF (Russian): 2458




  • There are currently no refbacks.

Copyright (c) 2015 VESTNIK of the Samara State Aerospace University

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies