Understanding and simulating processes leads to innovation

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Manufacturing Processes

Our understanding of processes and sophisticated simulation techniques enable us to design efficient and safe manufacturing processes. Our services include investigations into the technological development of manufacturing processes for the production of semi-finished products and components with functional properties. This work ranges from powder technology processes, including complex fluid systems, to microfluids, the forming and processing of ductile materials as well as processing techniques for brittle materials and glass forming.

What we offer


  • Innovative manufacturing processes for precision contours and functional components with defined property profiles
  • Simulation-assisted optimization of the energy and material efficiency of manufacturing processes
  • Modeling and simulation of powder technology and fluid dynamic processing stages, simulation methods for generative manufacturing
  • Forming process simulations including microstructure development and thermodynamics
  • Forming, processing and damage analyses for brittle materials such as glass and silicon


Powder Technology and Fluid Dynamics

By simulating powder technological processing steps and sequences, we make the manufacture of specifically shaped, defect-free components more accurate...

Forming Processes

Forming tools and processes can be designed much faster and cheaper with the aid of numerical simulations than through trial and error. This is why we develop and apply models that describe material behavior.

Glass Forming and Machining

We are specialists for glass, ceramics and semi-conductor materials. Our core competencies lie in fracture mechanical analysis methods and manufacturing...

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Semantic representation, networking and curation of quality-assured material data.

Materials science faces major challenges: linking qualitative research data that is already available in large quantities with new data while at the same time ensuring the reproducibility of the data. [more]


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© Fraunhofer IWM

ML4P - Machine Learning for Production:

In the Fraunhofer lighthouse project Machine Learning for Production (ML4P), the scientists at the Fraunhofer Institute for Mechanics of Materials IWM investigate how performance of modern production plants can be optimized using machine learning – for both continuous processes and the batch processing industry.

As one of six institutes in ML4P, the Fraunhofer IWM participates with a demonstrator machine for incremental forming processes. The machine realizes a process for float glass bending that was originally developed at the Fraunhofer IWM. The aim of the subproject is to upgrade the glass bending machine to become a cognitive machine. Therefore, the machine will be digitalized in order to collect process and sensor data. Using the collected data, a machine learning-based process control will be implemented. To increase the amount of information available for the process control, numerical simulations of the process shall be integrated.

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© Fraunhofer IWM


Simulation framework for multi-scale phenomena in micro- and nanosystems

The EU SimPhoNy project started in January 2014 with 11 partners from 5 countries. The aim is to develop a joint software platform that can integrate different individual simulation tools via a standardized interface. The project consortium is focused on describing complex fluids as well as micro and nanofluid systems such as lab-on-chip diagnosis applications or sensor and biochemistry applications. [more

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© Fraunhofer IWM


Material modeling of high strength TWIP steels

The properties of high strength TWIP steels differ from those of conventional sheet metals due to their special microstructure. In the »TWIP4EU« project, funded by the EU, the Fraunhofer IWM, together with its project partners, is developing a material model with which to more accurately simulate the TWIP steel forming process.

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