idCarl an intelligent digital Computational advanced research laboratory - Free web-based organization of material data for scientists and engineers

Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy—EXC-2023 Internet of Production

Creating a digital image or a digital twin of materials is a challenging task. Different ontologies describe materials in a consistent and complete way, but also differ greatly in their complexity or applicability. The reason for this is certainly also the question of perspective. As engineers, we created a structure that is focused on the material and therefore designed a description of the material along the process chain. In recent years, we have built and developed an ontology-based database infrastructure and a web interface for management and use:

idCarl - intelligent digital Computational advanced research laboratory

Our Python-based system is modular and is built in a modular way to be extended as required. Experimental results are transferred to the database via smaller analysis pipelines and are linked. For example, a single pipeline analyzes raw data and transfers it into the database. For example, pipelines for chemical analysis, tensile testing, rolling mills, LOM or EBSD have been designed. The characteristic parameters are stored in a Mongo database for faster access, while raw data is stored in an archive. This allows re-evaluation of the data at any time or even in a different context. The users, engineers, scientists or technicians, create a process chain and receive identifiers for each material state. The interface has been designed to be simple, so that anyone can use it for complex process chains within a few minutes. Each state for which results are generated can be assigned to a position in the process chain. Thus, one can create connected properties along the process chain and are able to run additional Pipelines on the standadized data. idCarl is ment to be freely accesible. idCarl is freely available in a gitlab repository. We hope with our workt o be able to contribute to the engineering and scientific community.