PROBABILISTIC MODEL, SYSTEM AND APPLICATION FOR COMPONENT DESIGN OPTIMIZATION
The present disclosure provides advantageous probabilistic models and applications for component (e.g., titanium component) design optimization, and related methods of use. More particularly, the present disclosure provides advantageous probabilistic models, systems and applications for component de...
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Main Authors | , , , , |
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Format | Patent |
Language | English French German |
Published |
11.10.2023
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Subjects | |
Online Access | Get full text |
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Abstract | The present disclosure provides advantageous probabilistic models and applications for component (e.g., titanium component) design optimization, and related methods of use. More particularly, the present disclosure provides advantageous probabilistic models, systems and applications for component design optimization and related methods of use, and where the probabilistic models, systems and applications can accurately predict the life/failure of components (e.g., titanium components) based on material microstructure statistics and/or product mission specifics and/or variations. Disclosed are probabilistic systems and methods for predicting dwell fatigue behavior of a component (e.g., titanium component). The present disclosure advantageously provides an analytical modeling framework that captures the various physics-based mechanisms for dwell fatigue damage accumulation, crack nucleation, crack propagation and fracture in components or materials (e.g., anisotropic components/materials). The probabilistic modeling framework thereby enables the prediction of dwell fatigue behavior as a function of microstructure (e.g., material microstructure statistics) and/or loading conditions (e.g., product mission specifics). |
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AbstractList | The present disclosure provides advantageous probabilistic models and applications for component (e.g., titanium component) design optimization, and related methods of use. More particularly, the present disclosure provides advantageous probabilistic models, systems and applications for component design optimization and related methods of use, and where the probabilistic models, systems and applications can accurately predict the life/failure of components (e.g., titanium components) based on material microstructure statistics and/or product mission specifics and/or variations. Disclosed are probabilistic systems and methods for predicting dwell fatigue behavior of a component (e.g., titanium component). The present disclosure advantageously provides an analytical modeling framework that captures the various physics-based mechanisms for dwell fatigue damage accumulation, crack nucleation, crack propagation and fracture in components or materials (e.g., anisotropic components/materials). The probabilistic modeling framework thereby enables the prediction of dwell fatigue behavior as a function of microstructure (e.g., material microstructure statistics) and/or loading conditions (e.g., product mission specifics). |
Author | VENKATESH, Vasisht NORAAS, Ryan B BURLATSKY, Sergei F BARKER, Stephen J FURRER, David U |
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DocumentTitleAlternate | MODÈLE PROBABILISTE, SYSTÈME ET APPLICATION POUR OPTIMISATION DE CONCEPTION DE COMPOSANTS PROBABILISTISCHES MODELL, SYSTEM UND ANWENDUNG ZUR KOMPONENTENDESIGNOPTIMIERUNG |
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Snippet | The present disclosure provides advantageous probabilistic models and applications for component (e.g., titanium component) design optimization, and related... |
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Title | PROBABILISTIC MODEL, SYSTEM AND APPLICATION FOR COMPONENT DESIGN OPTIMIZATION |
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