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Finding Recommendations for Selecting Numerical Model Settings for Efficient Simulation of the Working Process of an Axial Turbine Blade with Convective Cooling

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Proceedings of the 8th International Conference on Mechanical, Automotive and Materials Engineering (CMAME 2022)

Abstract

At present, when modeling the working process of axial cooled turbines, models have been used that include the flow area in the main flow channels, the blade body and the internal channels of the cooling system. It requires significant resources for calculation and high qualification of the engineer. An attempt to simplify the model reduces the reliability of the results obtained. Unfortunately, the available technical publications do not contain recommendations for setting up such calculation models. The present paper presents the results of a study aimed at finding optimal settings for numerical models that allow accurate and low-cost modeling of the coupled workflow in cooled turbines with convective cooling. As a result, practical recommendations were obtained on the choice of mesh parameters and turbulence models for such problems. Recommendations have been formulated for setting up numerical models of the working process of turbine blades with convective cooling in a two-dimensional formula.

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Abbreviations

Blade:

Related to blade

C3X:

Investigated blade

GTE:

Gas turbine engine

HTC:

Heat transfer coefficient

Mark II:

Investigated blade

NB:

Nozzle blade

PJSC:

Public joint-stock company

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Acknowledgements

The research was supported by the Ministry of Science and Higher Education of the Russian Federation (Grant No. 07772020-0015).

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Correspondence to Oleg Baturin .

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Volkov, A., Matveev, V., Baturin, O., Kudryashov, I., Melnikov, S. (2023). Finding Recommendations for Selecting Numerical Model Settings for Efficient Simulation of the Working Process of an Axial Turbine Blade with Convective Cooling. In: Mo, J.P. (eds) Proceedings of the 8th International Conference on Mechanical, Automotive and Materials Engineering. CMAME 2022. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-99-3672-4_4

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  • DOI: https://doi.org/10.1007/978-981-99-3672-4_4

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