Modelling Gas Turbine Blade Cooling with Genetic Algorithms

1. Introduction

Economic constraints in remote sensing platforms make a low-cost and dependable treatment of gas turbine blade cooling an urgent engineering priority. Design charts are generated from an extensive series of computations using genetic algorithms. The response varied almost linearly over 3 orders of magnitude of the controlling variable. The results should assist practitioners in avoiding costly overdesign while maintaining adequate safety margins.

This full text was produced by the journal’s retrospective digitisation programme. Section headings follow the printed original.

2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

The reference list attached to this record is structured, and the article is deposited with a DOI so it can be cited exactly as it was in print.