Concept for the prediction of structure-process-property relationships

Project C2

Copolymer blends processing and inline monitoring to enable computational modeling of the structure-process-property-relationships
Concept for the prediction of structure-process-property relationships
Picture: Dr. Rodrigo Albuquerque, Jun.-Prof. Dr. Christopher Künneth

The crucial interplay between processing and composition of copolymer blends directly shapes their morphology, impacting thermal, mechanical, and rheological properties. Combining inline monitoring of processes and properties, simulation of extrusion processes as well as machine-learning approaches provides real-time insights into processing conditions, enabling precise control over morphological outcomes and properties. This dynamic approach facilitates the optimization of copolymer blends, tailoring them for specific applications.

Prof. Dr.-Ing. Holger Ruckdäschel

Image: Private

Principal Investigators

Prof. Dr.-Ing. Holger Ruckdäschel

Faculty of Engineering Science
University of Bayreuth
Universitätsstraße 30
95447 Bayreuth
Phone: +49 921 55-7470
ruckdaeschel@uni-bayreuth.de

Jun.-Prof. Dr.-Ing. Christopher Künneth

Image: Private

Jun.-Prof. Dr.-Ing. Christopher Künneth

Faculty of Engineering Science
University of Bayreuth
Universitätsstraße 30
95447 Bayreuth
Phone: +49 921 55- 7330
christopher.kuenneth@uni-bayreuth.de