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A Generalized SNC-BESO Method for Multi-objective Topology Optimization Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Optimal Design of Rotor Blades for an Axial Compressor Using the Gradient Based Method

Authors : Hyung-Jin Kim, Hyeon-Jae Noh, Youn-Jea Kim

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

Publisher: Springer International Publishing

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Abstract

Design optimization methods for rotor blades of an axial compressor have been developed by using the computational fluid dynamics (CFD). In order to improve the aerodynamic performances, such as pressure ratio and adiabatic efficiency, three-dimensional Reynolds averaged Navier-Stokes analysis was used for the single stage axial compressor. The optimum design process considering the aerodynamic characteristics consists of designing the shape using the Non-Uniform Rational B-Spline (NURBS) function and performing the optimum design with Gradient-Based Optimization Method (GBOM). For the proceeding of automated optimization, the commercial code ANSYS CFX ver. 16.1 and Design Exploration were applied. Results show that the newly designed model demonstrated better performance than the reference model. In particular, the pressure ratio was found to be higher than that of the reference model.

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previous chapter Node to Node Requirements on the Synthesis of Mechanisms Using Minimum Distance Approach
next chapter Exploring the Fitness Landscape of a Realistic Turbofan Rotor Blade Optimization
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Metadata
Title
Optimal Design of Rotor Blades for an Axial Compressor Using the Gradient Based Method
Authors
Hyung-Jin Kim
Hyeon-Jae Noh
Youn-Jea Kim
Copyright Year
2019
Book
EngOpt 2018 Proceedings of the 6th International Conference on Engineering Optimization

Print ISBN: 978-3-319-97772-0

Electronic ISBN: 978-3-319-97773-7

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-97773-7_45

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