Sensitivity Analysis of the Johnson-Cook Model for Ti-6Al-4V in Aeroengine Applications
Titanium alloys, such as Ti-6Al-4V, are crucial for aeroengine structural integrity, especially during high-energy events like turbine blade-out scenarios. However, accurately predicting their behavior under such conditions requires the precise calibration of constitutive models. This study presents...
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2024-12-01
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author | Carlos Beecher Héctor Sepúlveda Angelo Oñate Anne Marie Habraken Laurent Duchêne Gonzalo Pincheira Víctor Tuninetti |
author_facet | Carlos Beecher Héctor Sepúlveda Angelo Oñate Anne Marie Habraken Laurent Duchêne Gonzalo Pincheira Víctor Tuninetti |
author_sort | Carlos Beecher |
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description | Titanium alloys, such as Ti-6Al-4V, are crucial for aeroengine structural integrity, especially during high-energy events like turbine blade-out scenarios. However, accurately predicting their behavior under such conditions requires the precise calibration of constitutive models. This study presents a comprehensive sensitivity analysis of the Johnson-Cook plasticity and progressive damage model parameters for Ti-6Al-4V in blade containment simulations. Using finite element models, key plasticity parameters (yield strength (<i>A</i>), strain-hardening constant (<i>B</i>), strain-rate sensitivity (<i>C</i>), thermal softening coefficient (<i>m</i>), and strain-hardening exponent (<i>n</i>)) and damage-related parameters (<i>d</i>1, <i>d</i>2, <i>d</i>3, <i>d</i>4, and <i>d</i>5) were systematically varied by ±5% to assess their influence on stress distribution, plastic deformation, and damage indices. The results indicate that the thermal softening coefficient (<i>m</i>) and the strain rate hardening coefficient (<i>C</i>) exhibit the most significant influence on the predicted casing damage, highlighting the importance of accurately characterizing these parameters. Variations in yield strength (<i>A</i>) and strain hardening exponent (<i>n</i>) also notably affect stress distribution and plastic deformation. While the damage evolution parameters (<i>d</i>1–<i>d</i>5) influence the overall damage progression, their individual sensitivities vary, with <i>d</i>1 and <i>d</i>4 showing more pronounced effects compared to others. These findings provide crucial guidance for calibrating the Johnson-Cook model to enhance aeroengine structural integrity assessments. |
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spelling | doaj-art-78fa738fe6004904a950b5562fed77202025-01-24T13:15:24ZengMDPI AGAerospace2226-43102024-12-01121310.3390/aerospace12010003Sensitivity Analysis of the Johnson-Cook Model for Ti-6Al-4V in Aeroengine ApplicationsCarlos Beecher0Héctor Sepúlveda1Angelo Oñate2Anne Marie Habraken3Laurent Duchêne4Gonzalo Pincheira5Víctor Tuninetti6Department of Mechanical Engineering, Universidad de La Frontera, Temuco 4811230, ChileMaster Program in Engineering Sciences, Faculty of Engineering, Universidad de La Frontera, Temuco 4811230, ChileDepartment of Materials Engineering (DIMAT), Faculty of Engineering, Universidad de Concepción, Concepción 4070415, ChileDepartment ArGEnCo-MSM, University of Liège, 4000 Liège, BelgiumDepartment ArGEnCo-MSM, University of Liège, 4000 Liège, BelgiumDepartment of Industrial Technologies, University of Talca, Curicó 3340000, ChileDepartment of Mechanical Engineering, Universidad de La Frontera, Temuco 4811230, ChileTitanium alloys, such as Ti-6Al-4V, are crucial for aeroengine structural integrity, especially during high-energy events like turbine blade-out scenarios. However, accurately predicting their behavior under such conditions requires the precise calibration of constitutive models. This study presents a comprehensive sensitivity analysis of the Johnson-Cook plasticity and progressive damage model parameters for Ti-6Al-4V in blade containment simulations. Using finite element models, key plasticity parameters (yield strength (<i>A</i>), strain-hardening constant (<i>B</i>), strain-rate sensitivity (<i>C</i>), thermal softening coefficient (<i>m</i>), and strain-hardening exponent (<i>n</i>)) and damage-related parameters (<i>d</i>1, <i>d</i>2, <i>d</i>3, <i>d</i>4, and <i>d</i>5) were systematically varied by ±5% to assess their influence on stress distribution, plastic deformation, and damage indices. The results indicate that the thermal softening coefficient (<i>m</i>) and the strain rate hardening coefficient (<i>C</i>) exhibit the most significant influence on the predicted casing damage, highlighting the importance of accurately characterizing these parameters. Variations in yield strength (<i>A</i>) and strain hardening exponent (<i>n</i>) also notably affect stress distribution and plastic deformation. While the damage evolution parameters (<i>d</i>1–<i>d</i>5) influence the overall damage progression, their individual sensitivities vary, with <i>d</i>1 and <i>d</i>4 showing more pronounced effects compared to others. These findings provide crucial guidance for calibrating the Johnson-Cook model to enhance aeroengine structural integrity assessments.https://www.mdpi.com/2226-4310/12/1/3Johnson-Cook modelTi-6Al-4Vtitanium alloyaeroengineblade-outsensitivity analysis |
spellingShingle | Carlos Beecher Héctor Sepúlveda Angelo Oñate Anne Marie Habraken Laurent Duchêne Gonzalo Pincheira Víctor Tuninetti Sensitivity Analysis of the Johnson-Cook Model for Ti-6Al-4V in Aeroengine Applications Aerospace Johnson-Cook model Ti-6Al-4V titanium alloy aeroengine blade-out sensitivity analysis |
title | Sensitivity Analysis of the Johnson-Cook Model for Ti-6Al-4V in Aeroengine Applications |
title_full | Sensitivity Analysis of the Johnson-Cook Model for Ti-6Al-4V in Aeroengine Applications |
title_fullStr | Sensitivity Analysis of the Johnson-Cook Model for Ti-6Al-4V in Aeroengine Applications |
title_full_unstemmed | Sensitivity Analysis of the Johnson-Cook Model for Ti-6Al-4V in Aeroengine Applications |
title_short | Sensitivity Analysis of the Johnson-Cook Model for Ti-6Al-4V in Aeroengine Applications |
title_sort | sensitivity analysis of the johnson cook model for ti 6al 4v in aeroengine applications |
topic | Johnson-Cook model Ti-6Al-4V titanium alloy aeroengine blade-out sensitivity analysis |
url | https://www.mdpi.com/2226-4310/12/1/3 |
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