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Acadlore takes over the publication of IJCMEM from 2025 Vol. 13, No. 3. The preceding volumes were published under a CC BY 4.0 license by the previous owner, and displayed here as agreed between Acadlore and the previous owner. ✯ : This issue/volume is not published by Acadlore.

Open Access
Research article

Mathematical Modeling on Gas Turbine Blades/Vanes Under Variable Convective and Radiative Heat Flux with Tentative Different Laws of Cooling

F. Floris1,
G. Viglialoro2
1
Department of Mechanical, Chemical and Material Engineering. University of Cagliari (Italy)
2
Department of Mathematics and Computer Science. University of Cagliari (Italy)
International Journal of Computational Methods and Experimental Measurements
|
Volume 5, Issue 1, 2017
|
Pages 55-65
Received: N/A,
Revised: N/A,
Accepted: N/A,
Available online: 12-31-2016
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Abstract:

In the last twenty years the modeling of heat transfer on gas turbine cascades has been based on computational fluid dynamic and turbulence modeling at sonic transition. The method is called Conjugate Flow and Heat Transfer (CHT). The quest for higher Turbine Inlet Temperature (TIT) to increase electrical efficiency makes radiative transfer the more and more effective in the leading edge and suction/pressure sides. Calculation of its amount and transfer towards surface are therefore needed. In this paper we decouple convection and radiation load, the first assumed from convective heat transfer data and the second by means of emissivity charts and analytical fits of heteropolar species as CO2 and H2O. Then we propose to solve the temperature profile in the blade through a quasi-two-dimensional power balance in the form of a second order partial differential equation which includes radiation and convection. Real cascades are cooled internally trough cool compressed air, so that we include in the power balance the effect of a heat sink or law of cooling that is up to the designer to test in order to reduce the thermal gradients and material temperature. The problem is numerically solved by means of the Finite Element Method (FEM) and, subsequently, some numerical simulations are also presented.

Keywords: Finite element method, Gas turbines, Heat balance equation, Mathematical simulations, Radi¬ative/Convective heat transfer


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Floris, F. & Viglialoro, G. (2017). Mathematical Modeling on Gas Turbine Blades/Vanes Under Variable Convective and Radiative Heat Flux with Tentative Different Laws of Cooling. Int. J. Comput. Methods Exp. Meas., 5(1), 55-65. https://doi.org/10.2495/CMEM-V5-N1-55-65
F. Floris and G. Viglialoro, "Mathematical Modeling on Gas Turbine Blades/Vanes Under Variable Convective and Radiative Heat Flux with Tentative Different Laws of Cooling," Int. J. Comput. Methods Exp. Meas., vol. 5, no. 1, pp. 55-65, 2017. https://doi.org/10.2495/CMEM-V5-N1-55-65
@research-article{Floris2017MathematicalMO,
title={Mathematical Modeling on Gas Turbine Blades/Vanes Under Variable Convective and Radiative Heat Flux with Tentative Different Laws of Cooling},
author={F. Floris and G. Viglialoro},
journal={International Journal of Computational Methods and Experimental Measurements},
year={2017},
page={55-65},
doi={https://doi.org/10.2495/CMEM-V5-N1-55-65}
}
F. Floris, et al. "Mathematical Modeling on Gas Turbine Blades/Vanes Under Variable Convective and Radiative Heat Flux with Tentative Different Laws of Cooling." International Journal of Computational Methods and Experimental Measurements, v 5, pp 55-65. doi: https://doi.org/10.2495/CMEM-V5-N1-55-65
F. Floris and G. Viglialoro. "Mathematical Modeling on Gas Turbine Blades/Vanes Under Variable Convective and Radiative Heat Flux with Tentative Different Laws of Cooling." International Journal of Computational Methods and Experimental Measurements, 5, (2017): 55-65. doi: https://doi.org/10.2495/CMEM-V5-N1-55-65
FLORIS F, VIGLIALORO G. Mathematical Modeling on Gas Turbine Blades/Vanes Under Variable Convective and Radiative Heat Flux with Tentative Different Laws of Cooling[J]. International Journal of Computational Methods and Experimental Measurements, 2017, 5(1): 55-65. https://doi.org/10.2495/CMEM-V5-N1-55-65