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OPTIMIZATION OF THE LAST STAGE OF GAS-STEAM TURBINE USING A HYBRID METHOD

Abstract

This paper relates to the CFD calculation of a new turbine type which is in the phase of theoretical analysis, because the working fluid is a mixture of steam and gas generated in wet combustion chamber. At first, this article concentrates on a possibility of streamlining the flow efficiency of a last stage of axial turbine working on gas-steam mixture using a hybrid of the particle swarm optimization algorithm with the Nelder-Mead method called HNMPSO. Subsequently, this article aim is to redesign and analyze the flow characteristics of the last stage of the gas-steam turbine. Values of the maximized objective function, which is the isentropic efficiency of the turbine stage, are found from 3D RANS computation of the flowpath geometry changing during the improving scheme. Among the optimized variables are parameters characterising the shape of the endwall contours within the rotor domain.

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Category:
Conference activity
Type:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Language:
English
Publication year:
2021
Bibliographic description:
Ziółkowski P., Witanowski Ł., Klonowicz P., Głuch S.: OPTIMIZATION OF THE LAST STAGE OF GAS-STEAM TURBINE USING A HYBRID METHOD// / : , 2021,
Sources of funding:
Verified by:
Gdańsk University of Technology

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