Numerical investigation on performance of gas turbine blade : effects of simulation models and blade geometry
(2023) In Linköping electronic conference proceedings 200.- Abstract
- With a significant impact on turbomachinery blade performance, surface curvature distribution becomes one of the essential factors in the design of high-efficiency blades. This study focuses on applying computational fluid dynamics (CFD) to evaluate turbine rotor blade performance. The main aim is to analyze the influence of incidence and geometry shape on the performance of a gas-turbine blade in two dimensions. To achieve this, an investigation was conducted to identify a suitable turbulence model for this case, with two turbulence models combined with two different solvers explored in ANSYS Fluent: Realizable k-ε model in pressure and density based solver; k-ω shear stress transport (SST) model in pressure and density based solver. The... (More)
- With a significant impact on turbomachinery blade performance, surface curvature distribution becomes one of the essential factors in the design of high-efficiency blades. This study focuses on applying computational fluid dynamics (CFD) to evaluate turbine rotor blade performance. The main aim is to analyze the influence of incidence and geometry shape on the performance of a gas-turbine blade in two dimensions. To achieve this, an investigation was conducted to identify a suitable turbulence model for this case, with two turbulence models combined with two different solvers explored in ANSYS Fluent: Realizable k-ε model in pressure and density based solver; k-ω shear stress transport (SST) model in pressure and density based solver. The blade total pressure loss across different blade exit Mach numbers is the comparison factor, with validation against experimental data. Subsequently, the chosen pressure-based k-ω SST model mode is used to study the performance of various air inflow incidence angles and compare two different blade geometries. In this paper, two geometries, Geometry 1 and Geometry 2, were designed by setting two different exit blade angles, β2=79.5° and β2=70° respectively, while the inlet blade angles have the same value, β1=48.8°. Furthermore, the effect of varying air inflow incidence angles between -48.8° and 10° on the blade performance distribution is also investigated. Within the studied range, the inflow incidence angle of 10° is found to have the best performance in terms of turbine work output. On the other hand, the blade performance of Geometry 2 appears superior to Geometry 1. (Less)
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https://lup.lub.lu.se/record/dfed57ca-398c-4dcb-89ce-863a3bf7c92f
- author
- Hu, Heng LU ; Hushmandi, Narmin LU and Genrup, Magnus LU
- organization
- publishing date
- 2023
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of the 64th International Conference of Scandinavian Simulation Society, SIMS 2023 Västerås, Sweden, September 25-28, 2023
- series title
- Linköping electronic conference proceedings
- editor
- Kyprianidis, Konstantinos G. ; Dahlquist, Erik ; Aslanidou, Ioanna ; Renuke, Avinash ; Mirlekar, Gaurav ; Komulainen, Tiina and Eriksson, Lars
- volume
- 200
- pages
- 8 pages
- publisher
- Linkoping University Electronic Press
- ISSN
- 1650-3740
- 1650-3686
- ISBN
- 978-91-8075-348-7
- DOI
- 10.3384/ecp200024
- language
- English
- LU publication?
- yes
- id
- dfed57ca-398c-4dcb-89ce-863a3bf7c92f
- date added to LUP
- 2026-02-24 09:28:18
- date last changed
- 2026-03-13 14:18:10
@inproceedings{dfed57ca-398c-4dcb-89ce-863a3bf7c92f,
abstract = {{With a significant impact on turbomachinery blade performance, surface curvature distribution becomes one of the essential factors in the design of high-efficiency blades. This study focuses on applying computational fluid dynamics (CFD) to evaluate turbine rotor blade performance. The main aim is to analyze the influence of incidence and geometry shape on the performance of a gas-turbine blade in two dimensions. To achieve this, an investigation was conducted to identify a suitable turbulence model for this case, with two turbulence models combined with two different solvers explored in ANSYS Fluent: Realizable k-ε model in pressure and density based solver; k-ω shear stress transport (SST) model in pressure and density based solver. The blade total pressure loss across different blade exit Mach numbers is the comparison factor, with validation against experimental data. Subsequently, the chosen pressure-based k-ω SST model mode is used to study the performance of various air inflow incidence angles and compare two different blade geometries. In this paper, two geometries, Geometry 1 and Geometry 2, were designed by setting two different exit blade angles, β2=79.5° and β2=70° respectively, while the inlet blade angles have the same value, β1=48.8°. Furthermore, the effect of varying air inflow incidence angles between -48.8° and 10° on the blade performance distribution is also investigated. Within the studied range, the inflow incidence angle of 10° is found to have the best performance in terms of turbine work output. On the other hand, the blade performance of Geometry 2 appears superior to Geometry 1.}},
author = {{Hu, Heng and Hushmandi, Narmin and Genrup, Magnus}},
booktitle = {{Proceedings of the 64th International Conference of Scandinavian Simulation Society, SIMS 2023 Västerås, Sweden, September 25-28, 2023}},
editor = {{Kyprianidis, Konstantinos G. and Dahlquist, Erik and Aslanidou, Ioanna and Renuke, Avinash and Mirlekar, Gaurav and Komulainen, Tiina and Eriksson, Lars}},
isbn = {{978-91-8075-348-7}},
issn = {{1650-3740}},
language = {{eng}},
publisher = {{Linkoping University Electronic Press}},
series = {{Linköping electronic conference proceedings}},
title = {{Numerical investigation on performance of gas turbine blade : effects of simulation models and blade geometry}},
url = {{http://dx.doi.org/10.3384/ecp200024}},
doi = {{10.3384/ecp200024}},
volume = {{200}},
year = {{2023}},
}