Data-driven workflow for accelerated glass development

Project runtime: 01.02.2021 – 31.01.2024

Fully automated intelligent expert system for high-throughput glass development

Within the joint project GlasDigital, digital tools for the development of novel glass materials are to be developed. Current processes for the production of glasses with improved properties are usually very cost- and energy-intensive due to the low degree of automation and are subject to long development cycles. Particular challenges arise from the wide variability of possible chemical compositions, the high process temperatures required for melting and the creation of suitable interfaces to artificially intelligent control devices. The use of robotic synthesis processes in combination with self-learning machines is intended to overcome these problems in the long term. The development of new types of glass - for example with higher mechanical strength - can then not only be accelerated considerably, but also carried out with much less effort.

Short presentation BMBF Kick-Off (10.06.21): Project presentation GlasDigital

Current project status (Plenary Meeting 17.03.22): Contribution to PMD

Tasks within the project Location
Federal Institute for Materials Research and Testing (BAM)
Inline sensor technology and analytics for robot-assisted high-throughput glass melting systems
The Clausthal University of Technology
Research into image analysis and analytics of glasses during automated casting
Friedrich Schiller University Jena
Digital twin of robotic melting process and glass ontology
Fraunhofer Institute for Silicate Research
Sensor-integrated Digital Twin for high-performance fibre composite applications