Energie et climat

La recherche énergétique de l’Institut Paul Scherrer se concentre sur la recherche de procédés susceptibles d’être utilisés dans des technologies durables et sûres pour un approvisionnement en énergie si possible exempt d’émissions CO2. Les énergies renouvelables constituent un point fort important. A la plateforme ESI (Energy System Integration), la recherche et l’industrie peuvent tester des solutions d’intégration d’énergies renouvelables. Un autre point fort de ce domaine est l’utilisation sûre de l’énergie nucléaire. Ces activités sont complétées par des analyses d’évaluation globale des systèmes énergétiques. Le PSI mène également de la recherche climatique et environnementale sur les processus chimiques qui se jouent dans l’atmosphère.

Pour en savoir plus, reportez-vous à Aperçu Energie et climat

tensor_tomography

Macroscopic mapping of microscale fibers in freeform injection molded fiber-reinforced composites using X-ray scattering tensor tomography

Prediction of the mechanical properties dictated by the local microfiber orientation is essential for the performance characterization of fiber-reinforced composites. Typically, tomographic imaging methods that provide fine spatial resolution are employed to investigate various materials' local micro- and nano-architecture in a non-destructive manner. However, conventional imaging techniques are limited by a substantial trade-off between the structure size of interest and the accessible field of view (FOV). Researchers from the TOMCAT beamline at Paul Scherrer Institut, Xnovo Technology ApS, and the Technical University of Denmark have demonstrated the potential of X-ray scattering tensor tomography for industrial applications by characterizing the microstructure of a centimeter-sized industrially relevant freeform injection molding fiber-reinforced composite sample. This emerging technique provides unprecedented access to microstructural information over centimeter-sized sample volumes paving the way towards its potential integration as an invaluable tool, for instance, in the fiber-reinforced-composite (FRC) industry. The obtained fiber orientation and anisotropy information over statistically relevant large volumes can be used to predict the mechanical properties of final products, optimize production parameters, and improve fiber injection molding simulation frameworks. The work is published in Composites Part B: Engineering on 15 March 2022.

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