Fully digitalized & unified material modelling for real-time analysis of process & operational deformation & damage behaviour within digital component twins

Project runtime: 01.01.2024 – 31.12.2026

Vorträge

2024-02-29_BMBF_KickOff_DigitalModelling

PMD Vollversammlung 18/19.September 2024

2024-09-18_Vollversammlung-Demonstrator_Pitch_DigitalModelling

2024-09-19_Vollversammlung_DigitalModelling

Übersicht

2024-09-02_Projektübersicht_DigitalModelling

2024-09-09_Steckbrief_DigitalModelling

For decades, Germany has represented excellent cutting-edge research in the field of so-called higher-value constitutive viscoplastic material models and can draw on a large and globally unique pool of material data. However, both the data and the model structure are extremely heterogeneous and sometimes fundamentally different from research center to research center and from industrial partner to industrial partner. In order to address the heterogeneity in the material model landscape appropriately, an adaptable material model is required for the specific application and the specific material. The relevant parameters for the adapted material model must be identified as objectively and automatically as possible. In order to achieve a potentially real-time capable implementation, the material model equation system should be abstracted.

The MaterialDigital platform will create a standard and an interface that will standardize the scientific and technical development of constitutive, viscoplastic material models, increase their visibility and maximize the productivity of future research funding. In addition, the project will make a significant contribution to strengthening the competitiveness of the industrial and research partners involved in the overall project in international competition, thereby securing or creating jobs in Germany.

Tasks within the project	Location
Siemens Energy Global GmbH & Co. KG Project coordination, integration of proprietary data and models, tests and verifications	Mülheim an der Ruhr
MTU Aero Engines AG Connection of proprietary data and models, data classification and pre-processing, constitutive material model modules, tests and verifications	Munich
KSB SE & Co. KGaA Connection of proprietary data and models, tests and verifications	Frankenthal
Federal Institute for Materials Research and Testing Berlin (BAM) Curation of constitutive model approaches, further development of parameter identification procedures	Berlin
Fraunhofer Institute for Mechanics of Materials (IWM) Heterogeneous data structuring and provision, data classification and pre-processing, ontology development and metadata structuring, linking of ontologies and material models, data-driven material modeling	Freiburg
MPA/IfW Technical University of Darmstadt Heterogeneous data structuring and provision, Connection of proprietary data and models, Constitutive model building blocks, Further development of parameter identification procedures, Abstraction of the material model	Darmstadt
MPA University of Stuttgart Heterogeneous data structuring and provision, virtual data generation, constitutive model building blocks, unit & workflow testing	Stuttgart
Otto-von-Guericke University Magdeburg Data classification and pre-processing, constitutive model building blocks, further development of parameter identification procedures, unit & workflow testing	Magdeburg