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 FURRER, David U, BARKER, Stephen J, BURLATSKY, Sergei F, NORAAS, Ryan B, VENKATESH, Vasisht
Format Patent
LanguageEnglish
French
German
Published 11.10.2023
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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).
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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