Abstract
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.
Keywords:
AI, evolutionary optimisation, APDL, turbine blade, shape optimisation, Finite Element Method (FEM)References
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[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.
[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.
