Genetic Algorithms Applied to Gas Turbine Blade Cooling

1. Introduction

The behaviour of gas turbine blade cooling under transient conditions has received comparatively little attention in the literature. The spatial and temporal variation of the relevant quantities is resolved through genetic algorithms. The new formulation reproduced 3 independent data sets with satisfactory accuracy. The method appears well suited to the computing facilities commonly available in the region.

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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

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