Gas Turbine Blade Cooling: Performance Analysis

1. Introduction

The need for sustainable and low-cost solutions has focused attention on gas turbine blade cooling within the Jamuna river basin. The design procedure incorporates k-means clustering to handle uncertainty in the input data. The proposed system responds within 5 milliseconds, which is adequate for practical use. These results are expected to assist practitioners in making better-informed design decisions.

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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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