Turbine stage design aided by artificial intelligence methods

  • Authors:

  • Krzysztof Kosowski;Karol Tucki;Adrian Kosowski

  • Affiliations:

  • Gdańsk University of Technology, Department of Ship Automatics and Turbine Propulsion, Narutowicza 11/12, 80952 Gdańsk, Poland;Gdańsk University of Technology, Department of Ship Automatics and Turbine Propulsion, Narutowicza 11/12, 80952 Gdańsk, Poland;Gdańsk University of Technology, Department of Algorithms and System Modeling, Narutowicza 11/12, 80952 Gdańsk, Poland

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2009

Quantified Score

Hi-index 12.05

Visualization

Abstract

We propose a general, efficient system for designing turbine cascades and stages in real 3D-flow conditions. The presented algorithms involve application of evolutionary algorithms, as well as Artificial Neural Networks. Results of the design process are shown to be highly optimised in terms of efficiency, whereas computation time is reduced by several orders of magnitude in comparison to methods relying on Computational Fluid Dynamics calculations.