Optimization of the workflow of multistage axial turbines with platforms

Abstract


The turbine workflow is described by a large number of variables that often have contradictory impact on the turbine operating parameters. Hand-operated variation of these variables is a difficult time-consuming task. Application of mathematic optimization techniques could provide a solution of the problem. The paper outlines the basic principles of the method of mathematical optimization of an axial turbine based on the joint use of the NUMECA computational fluid dynamics software and the IOSO program optimizer. The procedure developed was implemented for a four-stage turbine developed and tested by NASA. Design models including one, two, three and four stages have been developed for the turbine under consideration. The results of calculations performed with their help showed good agreement with the experimental results. The settings of the numerical model that provide good agreement of design and experimental data but do not require large computational resource have been chosen according to the results of the research conducted. Low computational cost is very important because it allows significant reduction of the time spent to obtain the optimal solution with repeated reference to the design model. Automatic search of the turbine blade configuration allowing a 0.7 % increase of the turbine efficiency with constant mass flow and rate of expansion of gas (accuracy 0.5 %) was carried out with the help of the model created. 


About the authors

V. N. Matveev

Samara State Aerospace University

Author for correspondence.
Email: mvn@ssau.ru

Russian Federation

Doctor of Science (Engineering), Professor

Head of the Department of Aircraft Engines Theory

O. V. Baturin

Samara State Aerospace University

Email: udet@mail.ru

Russian Federation

Candidate of Science (Engineering)

Assistant Professor of the Department of Aircraft Engines Theory

G. M. Popov

Samara State Aerospace University

Email: grishatty@gmail.com

Russian Federation

Postgraduate student of the Department of Aircraft Engines Theory

E. S. Goryachkin

Samara State Aerospace University

Email: evgeni0063@yandex.ru

Russian Federation

Postgraduate student of the Department of Aircraft Engines Theory

References

  1. Kulagin V.V. Teoria, raschet i proektirovanie aviacionnyh dvigateley i energeticheskih ustanovok [Theory, calculation and design of aircraft engines and power plants]. Moscow: Maschinostroenie Publ., 2002. 616 p.
  2. Lomax H., Pulliam T.H., Zingg D.W. 2001. Fundamentals of Computational Fluid Dynamics, Springer, Chap. 2.
  3. Webster P.F. Design of a 4½ stage turbine with a stage loading factor of 4.66 and high specific work output - 2. Stage group performance. NASA Technical Paper. 1976. Iss. 1688.
  4. Whitney W.J., Bebning F.P., Moffit T.P., Hotz G.M. Cold-air investigation of 4½ stage turbine with a stage loading factor of 4.66 and high specific work output. I – Overall Performance. NASA TM X-3498. 1977.
  5. Whitney W.J., Bebning F.P., Moffit T.P., Hotz G.M. Cold-air investigation of 4½ stage turbine with a stage loading factor of 4.66 and high specific work output - II – Stage Group Performance. NASA Technical Paper. Iss. 1688. 1980.
  6. NUMECA, User Manual AutoGrid5 Release 8.4, NUMECA.inc., Belgium, January 2008.
  7. Lewis R.I. Turbomachinery performance analysis. Publisher: Elsevier Science & Technology Books Pub., 1996. 329 p.
  8. Belousov A.N., Musatkin N.F., Rad’ko V.M., Kuz’michev V.S. Proektny termogazodinamicheskiy raschet osnovnyh parametrov aviacionnyh lopatochnyh machin [Thermodynamic design calculation of the main parameters of aviation impeller machines]. Samara State Aerospace University Publ., 2006. 316 p.
  9. IOSO optimiazation technology. Sigma technolohy: official site. Available at: http://www.iosotech.com
  10. Goryahkin E., Popov G., Baturin O., Kolmakova D. Three-stage low pressure compressor modernization by means of optimization methods. Proceedings of the ASME Turbo Expo. 2015. V. 2C: Turbomachinery. doi.org/10.1115/gt2015-43384
  11. Kuzmenko M.L., Egorov I.N., Shmotin Yu.N., Chupin P.V., Fedechkin K.S. Multistage axial flow compressor optimization using 3D CFD code. 6th ASMO UK/ISSMO conference on Engineering Design Optimization. 2006.
  12. Shabliy L.S., Dmitrieva I.B. Conversion of the blade geometrical data from points cloud to the parametric format for optimization problems. ARPN Journal of Engineering and Applied Sciences. V. 9, no. 10. P. 1849-1853.
  13. Shabliy L.S., Kolmakova D.A., Krivcov A.V. Parametric modeling of blade machines during optimization. Izvestiya Samarskogo nauchnogo centra RAN. V. 15, no. 6(4). P. 1013-1018. (In Russ.)
  14. Shabliy L.S. Programmnoe sredstvo sozdaniya i modifikatsii komp'yuternykh modeley lopatok turbomashin Profiler, svidetel'stvo o gosudarstvennoy registratsii [Software tool for the creation and modification of computer models of Profiler turbomachinery blades]. Patent RF no. 2013617453, 2013. (Publ. 23.08.2013)

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