TY  - JOUR
AU  - Nair, Leila
AU  - Muller, Sofia
TI  - Gas Turbine Blade Cooling: Performance Analysis
JO  - Open Access Journal of Engineering Applications
PY  - 2008
VL  - 32
IS  - 2
SP  - 60
EP  - 74
AB  - 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.
KW  - gas turbine blade cooling
KW  - k-means clustering
KW  - pattern recognition
KW  - digital watermarking
KW  - biodiesel
KW  - nanocomposite
SN  - 3105-7004
DO  - 10.55555/oajea.2008.3202.004
UR  - https://journal.bsaps.com/article/8521
ER  -