RENNER
REal-time acquisitioN and NEural Representation of structural properties.
About the project
RENNER (REal-time acquisitioN and NEural Representation of structural properties) applies the complementary competence in X-ray imaging and scientific computing for developing experimental data acquisition and data representation in parallel. The aim is to provide real-time structural characterization for immediate feedback on controlling the properties of materials as they are being manufactured. We have focused on highly anisotropic composite materials, specifically pultruded unidirectional composites of high-performance fibres, quantifying fibre orientation and alignment. However, the methodology developed in this project may be adapted to other materials and structural properties.
More details can be found here
Type of project
Funded by Villum Synergy 2022. The program aims at strengthening interdisciplinary, data-driven research.
People from the SAM section involved
Professor Jens Wenzel Andreasen
Contact
Jens Wenzel Andreasen Professor Department of Energy Conversion and Storage Phone: +45 46774702 Mobile: 2132 6301 jewa@dtu.dk