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

Authors :
Yulia Novikova
Andrei Volkov
Grigorii Popov
Evgenii Goriachkin
Daria Kolmakova
Source :
EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization ISBN: 9783319977720
Publication Year :
2018
Publisher :
Springer International Publishing, 2018.

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.

Details

ISBN :
978-3-319-97772-0
ISBNs :
9783319977720
Database :
OpenAIRE
Journal :
EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization ISBN: 9783319977720
Accession number :
edsair.doi...........2c5b676830d8cdcfb2e6f0ea8bc5e761
Full Text :
https://doi.org/10.1007/978-3-319-97773-7_114