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Interdisciplinary Modelling

„Simulations allow us to better understand the relationship between processes, structural and phase states.“ Prof. Dr. Martin Kronbichler

Your Partner for Development-Accompanying Calculation Models

Our Competences:

 

  • Development of simulation methods, technologies and tools
  • Creation of efficent, problem-adapted computer models
  • Method selection for sustainable use of software and hardware resources

Our Team:

 

An interdisciplinary team from mathematics, computer science and materials science supports and accelerates your process and product development with the latest calculation methods and the necessary computer capacities.

Our offerings for you

 

  • Development, adaption and improvement of simulation models for your development projects, as well as the integration of these modules into your software
  • Comparison of measurement data and calculation results as well as integration of all data into learning overall-process models to stabilise and accelerate your processes
  • Development of DoE (Design of Experiments) by means of statistical test planning to increase your efficiency for validation and certification requirements
  • Creation of mainframe models for highest resolutions or model reduction for calculations in real time using trained models or for smaller computer capacities depending on your needs and the available IT landscape at your site
  • Development of new material and production process models, e.g. for new types of materials or 3D printing processes, as well as integration into your software/ IT landscape

 

 

Projects

 

  • Process simulation with enlarged observation scale, e.g. chemical reactions.
  • Simulation of the effective behaviour of meta-materials with unusual physical properties such as negative refractive indices induced by highly heterogeneous, complex microstructure.
  • Determination of partial individual parameters of MEMS sensors during end-of-line testing.
  • Use of trained models for design optimisation of the climate control of a vehicle cabin.

Contact

Fabian Kröpfl
Research Associate
Computational Mathematics
Email:

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