Multidisciplinary Optimization of Axial Turbine Blade Based on CFD Modelling and FEA Analysis
The turbine blade is designed to achieve expansion at high efficiency levels. For improving the turbine efficiency, different aerodynamic design optimisations are performed. On the other hand, the aerodynamic design must be enhanced to match the mechanical design. This research proposes a novel de...
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my.uthm.eprints.125382025-03-06T00:55:02Z http://eprints.uthm.edu.my/12538/ Multidisciplinary Optimization of Axial Turbine Blade Based on CFD Modelling and FEA Analysis Bahr Ennil, Ali M A Elfaghi, Abdulhafid TJ Mechanical engineering and machinery The turbine blade is designed to achieve expansion at high efficiency levels. For improving the turbine efficiency, different aerodynamic design optimisations are performed. On the other hand, the aerodynamic design must be enhanced to match the mechanical design. This research proposes a novel design optimisation method for both aerodynamic and mechanical requirements. A multidisciplinary optimisation approach is used to improve the reliability of the turbine design, which included the use of Computational Fluid Dynamics (CFD) models and Finite Element Analysis (FEA). The primary objective is to guarantee that the aerodynamically optimised blade profile could efficiently withstand mechanical stress. The multidisciplinary optimisation approach is successful in reducing total equivalent pressures from 49.72 MPa to 41.73 MPa while keeping the turbine's overall efficiency at an impressive level of 80.95%. These Results highlight the effectiveness of using a multidisciplinary optimization method to successfully improve the efficiency of a turbine blade profile while simultaneously ensuring its ability to withstand the needed mechanical loads. Using a multidisciplinary optimisation method, the turbine maintains an impressively high efficiency of approximately 83%, with only a marginal reduction of 1.8% compared to the efficiency achieved solely through aerodynamic blade optimisation. semarak ilmu 2024 Article PeerReviewed text en http://eprints.uthm.edu.my/12538/1/J18034_b2c473b0660eaeb00256010be7676e38.pdf Bahr Ennil, Ali and M A Elfaghi, Abdulhafid (2024) Multidisciplinary Optimization of Axial Turbine Blade Based on CFD Modelling and FEA Analysis. Journal of Advanced Research in Applied Mechanics, 120 (1). pp. 40-49. ISSN 2289-7895 https://doi.org/10.37934/aram.120.1.4049 |
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TJ Mechanical engineering and machinery Bahr Ennil, Ali M A Elfaghi, Abdulhafid Multidisciplinary Optimization of Axial Turbine Blade Based on CFD Modelling and FEA Analysis |
description |
The turbine blade is designed to achieve expansion at high efficiency levels. For
improving the turbine efficiency, different aerodynamic design optimisations are
performed. On the other hand, the aerodynamic design must be enhanced to match the mechanical design. This research proposes a novel design optimisation method for both aerodynamic and mechanical requirements. A multidisciplinary optimisation approach is used to improve the reliability of the turbine design, which included the use of Computational Fluid Dynamics (CFD) models and Finite Element Analysis (FEA). The primary objective is to guarantee that the aerodynamically optimised blade profile could efficiently withstand mechanical stress. The multidisciplinary optimisation approach is successful in reducing total equivalent pressures from 49.72 MPa to 41.73 MPa while keeping the turbine's overall efficiency at an impressive level of 80.95%. These Results highlight the effectiveness of using a multidisciplinary optimization method to successfully improve the efficiency of a turbine blade profile while simultaneously ensuring its ability to withstand the needed mechanical loads. Using a multidisciplinary optimisation method, the turbine maintains an impressively high efficiency of approximately 83%, with only a marginal reduction of 1.8% compared to the efficiency achieved solely through aerodynamic blade optimisation. |
format |
Article |
author |
Bahr Ennil, Ali M A Elfaghi, Abdulhafid |
author_facet |
Bahr Ennil, Ali M A Elfaghi, Abdulhafid |
author_sort |
Bahr Ennil, Ali |
title |
Multidisciplinary Optimization of Axial Turbine Blade Based on CFD Modelling and FEA Analysis |
title_short |
Multidisciplinary Optimization of Axial Turbine Blade Based on CFD Modelling and FEA Analysis |
title_full |
Multidisciplinary Optimization of Axial Turbine Blade Based on CFD Modelling and FEA Analysis |
title_fullStr |
Multidisciplinary Optimization of Axial Turbine Blade Based on CFD Modelling and FEA Analysis |
title_full_unstemmed |
Multidisciplinary Optimization of Axial Turbine Blade Based on CFD Modelling and FEA Analysis |
title_sort |
multidisciplinary optimization of axial turbine blade based on cfd modelling and fea analysis |
publisher |
semarak ilmu |
publishDate |
2024 |
url |
http://eprints.uthm.edu.my/12538/1/J18034_b2c473b0660eaeb00256010be7676e38.pdf http://eprints.uthm.edu.my/12538/ https://doi.org/10.37934/aram.120.1.4049 |
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1825811700780105728 |
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13.244413 |