Steinbeis Research Center Virtual Testing

• Development of virtual test procedures based on digital prototypes using various numerical calculation tools (flow simulation (CFD), structural simulation, thermoelectric and magneto-hydrodynamic simulations, coupled multi-physics approaches)
• Carrying out numerical simulations for virtual prototypes for various issues
• Carrying out numerical flow calculations (CFD) using various mesh-based methods (finite volume method with OpenFOAM®) or particle-based methods (smoothed particle hydrodynamics, SPH)
• Use of different machine learning methods to calculate flows with and without test data (Convolutional Network, Physics Informed Neural Networks (PINNs))
• Coupling machine learning tools with conventional CFD codes to integrate additional models, material data, etc. as machine learning models
• Development of calculation tools and graphical user interfaces (GUI)
• Support in setting up and developing validation experiments, support with measurement technology issues
• Consulting and support in modeling and physical principles
• Implementation of training courses and special seminars on 
  • Modeling
  • Flow simulation
  • Machine learning
  • Development of virtual test procedures
• Specific consulting on the introduction and use of numerical calculation methods in the company

• Modeling and numerical simulation with a wide range of calculation methods using open source software
• Use of machine learning methods in the virtual testing of components and assemblies
• Consulting and support in the use of the methods through training and seminars

• Modeling and numerical investigation of the deposition and cleaning of dirt in various applications
• Temporal deposition and contamination behavior in exhaust gas systems
• Modeling the degassing behaviour of plastic melts
• Investigation of heat transport and its optimization in LED lighting systems
• Flow and structural mechanical optimization of blowers
• Investigation of room air filters and their effectiveness, comparison of effectiveness with window ventilation
• Analysis of damage mechanisms of agitators in the wastewater sector
• Separation of oil droplets during crankcase ventilation
• Numerical investigations of centrifugal separators, development of new separation concepts
• Modeling of foam formation processes
• Virtual description of climatic chambers with different test cycles
• Coupling of ML models with CFD codes (OpenFOAM) for the integration of material data
• Training for special topics

Steinbeis Transfer Magazine

• A holistic strategy for succeeding as a business (Transfer 2/2024)
  Digitale Technologien unterstützen die Produktentwicklung im Spannungsfeld von Kosten, Qualität, Nachhaltigkeitsgesetzgebung und Time-to-Market