Project MEMAS: ontology-based storage system for manufacturing and simulation data in the field of composite materials

Abstract

Certification by Analysis (CbA) holds the promise of cost reduction and time saving in the product certification testing programs for aeronautics and automotive structures. In the particular case of composite structures, the complexity of manufacturing processes and their influence on the product lead to the need of high-fidelity numerical models to depict the actual state of the produced structures and estimate their load-bearing capability individually. Additionally, specific tools should be developed to manage the complex datasets, multiple data structures and data formats produced during the part manufacturing and establish a link to simulation models. In the recent years, the DLR worked on the development of an integrated data management system (IDMS) called shepard for the storage of research data according to the FAIR principles. In its first phase, the project MEMAS aims at developing an ontology for the labelling of manufacturing, testing and simulation data to structure and bridge these different fields in composite engineering. The coupling of the IDMS to a multi-field ontology should enable the creation of high-quality and well-documented datasets, which can be converted into predictive numerical models. This presentation will cover the first project phase and cover the ontology development and its coupling to the IDMS at DLR.