Fraunhofer Institute for Mechanics of Materials IWMThe DigitalModeling joint project aims to significantly facilitate and accelerate the transfer between academic research and industrial application in the field of materials modeling, i.e., the mathematical and computational description of the behavior of materials and components under thermomechanical stresses.
Fully digitalized & standardized materials modeling for real-time analysis of process & operation-related deformation & damage behavior within digital component twins
Ongoing research project
Project description
For decades, Germany has been at the forefront of cutting-edge research in the field of high-quality constitutive viscoplastic materials models and has access to a large and globally unique pool of materials data. The materials models and the underlying materials data are distributed heterogeneously across research centers and differ in their model formulation even for similar application scenarios. This makes it difficult for companies to make the best possible decisions when selecting models and delays the adoption of new materials models in industrial applications. To solve this problem, the entire chain of materials data – from data processing to parameter optimization and materials map generation to validated benchmark tests – must be digitally controlled.
The DigitalModeling joint project has set itself the goal of removing recurring obstacles to the industrial use of advanced materials modeling. At the same time, this will enable the various materials modeling approaches that are already available to be bundled and presented in a modular format for the first time within the Material Digital (PMD) platform, allowing for flexible selection and model synthesis tailored to specific applications.
Transfer of project results to the following Fraunhofer IWM R&D services for companies:
The DigitalModeling joint project will create a standard and an interface that will standardize the scientific and technical development of constitutive materials models, increase their visibility, and maximize the productivity of future research funds.
