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2019 | OriginalPaper | Chapter

Using Multicriterion Optimization Methods to Optimize the 3D Shape of Axial Compressor

Authors : Grigorii Popov, Evgenii Goriachkin, Yulia Novikova, Daria Kolmakova, Andrei Volkov

Published in: EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization

Publisher: Springer International Publishing

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Abstract

The article presents one optimization method for improving of the working process of an axial compressor of gas turbine engine. Developed method allows to perform search for the best geometry of compressor blades automatically by using optimization software IOSO and CFD software NUMECA Fine/Turbo. Optimization was performed by changing the form of the middle line in the three sections of each blade and shifts of three sections of the guide vanes in the circumferential and axial directions. The calculation of the compressor parameters was performed for work and stall point of its performance map on each optimization step. Study was carried out for seven-stage high-pressure compressor and three-stage low-pressure compressors. As a result of optimization, improvement of efficiency was achieved for all investigated compressors.

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Metadata
Title
Using Multicriterion Optimization Methods to Optimize the 3D Shape of Axial Compressor
Authors
Grigorii Popov
Evgenii Goriachkin
Yulia Novikova
Daria Kolmakova
Andrei Volkov
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-319-97773-7_114

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