Evolutionary stress minimisation on a turbine blade shank

• Autorzy: Grela W. , Burczyński T.
• Języki publikacji: EN

Abstrakty

EN

The paper describes shape optimisation of a turbine blade shank. The turbine blade shank zone with a compound fillet is a critical location where a high risk of failure exists. The APDL language operating in Ansys environment is used to write a parametric turbine blade shank FEM models generator, which is a basic part of evolutionary optimisation routine. The goal of the optimisation is the 1st principal stress reduction with maximum allowable mass constraint imposed. Parameterisation routine and optimisation results are presented and discussed.

Słowa kluczowe

EN

AI; evolutionary optimisation; APDL; turbine blade; shape optimisation; finite element method

PL

metoda elementów skończonych; optymalizacja

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Mechanics and Engineering Sciences
• Rocznik: 2005
• Tom: Vol. 12, No. 2-3
• Strony: 147--161
• Opis fizyczny: Bibliogr. 8 poz., rys., tab., wykr.

Twórcy

autor

Grela W.

• Avio Polska Sp. z o.o., Grażyńskiego 141, 43-300 Bielsko-Biała, Poland
• Silesian University of Technology, Department for Strength of Materials and Computational Mechanics, Konarskiego 18 a, 44-100 Gliwice

autor

Burczyński T.

• Cracow Uniyersity of Technology, Institute of Computer Modelling, Artificial Intelligence Division, Warszawska 24, 31-155 Kraków, Poland

Bibliografia

• [1] APDL Programmer's Guide, Ansys 6.1 Documentation, 2002 SAS, IP, Inc.
• [2] J. Arabas. Lectures on Evolutionary Algorithms (in Polish), WNT, Warszawa, 200L
• [3] T. Burczyński ed. Computational Sensitivity Analysis and Evolutionary Optimization of Systems with Geometrical Singularities, Scientific Publications of Department for Strength of Materials and Computational Mechanics, Silesian University of Technology, No.1, Gliwice, 2002.
• [4] T. Burczyński, W. Cholewa eds. Methods of Artificial Intelligence in Mechanics and Mechanical Engineering, AI-MECH Series Gliwice, 2000.
• [5] T. Burczyński, A. Osyczka eds. Evolutionary Methods in Mechanics, Kluwer Academic Publishers, Dordrecht 2004.
• [6] W. Grela, T. Burczyński. Evolutionary shape optimization of a turbine blade shank with APDL language, In: Recent Developments in Artificial Intelligence Methods (T. Burczyński, W. Cholewa and W. Moczulski, eds.) AI-METH Series, Gliwice, 2004.
• [7] Z. Michalewicz. Genetic Algorithms + Data Structures = Evolutionary Programs. Springer-Verlag, Al Series, New York, 1992.
• [8] K. Miettinen, Pekka Neittaanmaki, M. M. Mäkelä, J. Pérlaux eds. Evolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications, Wiley 1999.