The project goal is to research and prototype a new approach to simulating the viscoplastic material behavior of metals in impact processes. The approach involves developing a new continuum mechanics-based material model tailored to such processes and a novel characterization strategy specifically designed for these processes and the new material model. This combination aims to significantly increase the currently achievable simulation accuracy without increasing the costs for characterization, but rather reducing them. This is made possible by consistently focusing on a specific category of processes and by innovative designs for new characterization experiments, which enable a rapidly increased information yield per experiment compared to the state of the art. Accordingly, less experimental effort is required to fully characterize a material. The savings achievable in this way should significantly exceed the costs of the increased demand for computer capacity.
Data from material, component, and crash tests are an important part in the development and design of technical systems. Dynamic material values are usually recorded using pendulum impact testers or drop test rigs. The characteristic values determined are incorporated into calculations and serve as raw data for more complex simulation models. In industry, computational or analytical results are often insufficient to validate expected properties, making experimental testing necessary. The testability of large components in particular under highly dynamic conditions is not feasible with today’s testing technology due to high technological challenges. This R&D project aims to develop functionally relevant components in order to make drop test rigs for large components and high-speed measurements available to the market in the future.



The ICOCE project proposes a new way to characterize brittle materials like ceramics. We will develop a dataset, i.e. a novel material model, suitable for simulating their behavior under dynamic loads. This data will be integrated into FEA software, creating material digital twins for realistic simulations. A material digital twin ecosystem will connect stakeholders, like FEA software providers, material testers, and manufacturers to leverage this data and improve the design process of new or adjusted products.




The EDF’s 2023 MaJoR project addresses the materials and techniques that need to be adapted and certified for defence applications in the domain of repair, joining and maintenance. Based
on previous results obtained for civil or defence applications, the goal is to propel such technologies across the ‘valley of death’*/1. This project resulted from a call designed to support a cross-border defence innovation network that will host the test platform and will provide tests and other services to innovative players.
*The phenomenon of promising techniques failing to move beyond the research phase into development and eventually procurement.
1 from: https://defence-industry-space.ec.europa.eu, S. 31






The joint project investigates the joining of high-strength aluminum and steel materials using collision welding. The aim of the project is to qualify electromagnetic pulse welding as a manufacturing process for use in hybrid lightweight structures made of high-strength materials.
Within the project, Nordmetall is carrying out material characterizations at high strain rates and different temperatures in order to investigate the effect of thermal activation in particular and to derive suitable material models for numerical simulation.


The competence cluster „ATLAS“ has been started at 2021-08-01. ATLAS is a support program of the „Zentrales Innovationsprogramm Mittelstand“ (ZIM) of federal ministry for economic affairs and energy (BMWi).
This venture shall merge the know-how and development of innovative methods to generate new approaches on topics of material development, material characterization, and optimization of material properties.
Therefore, the companies DeltaSigma Analytics GmbH, Nordmetall GmbH, and Sampro GmbH have established the cluster.
The development of high performance metallic materials needs expensive test melts and extensive material characterization and sophisticated material descriptions to prepare FEA-material cards – especially for high temperature deformation at shear respectively torsion loading at high impact rates.


Objective of this German-Czech joint project is the horizontal and vertical integration of material data in the Industry 4.0 value chains as well as the derivation of a generic material model for process and system simulation.


Joint project with partners from research and industry to research large-scale production chains for products made of fiber-reinforced plastics


Research project on characteristic values of metal-plastic composites and their modeling
Research project on basalt fiber reinforced plastic composites and their characteristic value determination


As a part of the joint project with partners from research and industry, Nordmetall GmbH worked on a subtask for the integration of smart sensors in crash loaded fiber composite structures in the field of electromobility. The project was funded by the European Fund for Regional Development (EFRE) and the Sächsische AufbauBank (SAB) in the period from 2015/07/01 to 2018/06/30.




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