Open Access Journal of Engineering Applications
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Gas Turbine Blade Cooling: Methods, Results and Discussion

Kavita Rao Corresponding 0000-0003-3443-3649
University of Moratuwa
Neha Kim
Universiti Teknologi Malaysia
Hiroshi Banerjee
Indian Institute of Technology Kharagpur
Mizanur Chatterjee 0000-0003-1231-7389
Military Institute of Science and Technology
31 Mar 2013
pp. 367-380
https://doi.org/10.55555/oajea.2013.3701.019

Abstract

Both academic and industrial communities have shown growing interest in optimising gas turbine blade cooling for agricultural machinery. The proposed framework combined hidden Markov modelling with laboratory measurements to improve predictive accuracy. The proposed controller shortened the settling time by roughly 45% compared with a conventional design. The results support the adoption of the proposed method in routine engineering practice.
Keywords: gas turbine blade coolinghidden Markov modellingrenewable energyface detectionaluminium matrix composite

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