Detect risks earlier, make better decisions thanks to a broad information base, reduce costs without sacrificing quality, develop a product and improve several linked interfaces at the same time… Does that sound interesting to you? “Reality” in product development costs: Prototypes, production plants and real validation tests take a lot of money, time and effort. In the digital space, these spending factors can be significantly reduced; in addition to the advantages of detecting potential errors at an early stage and detecting more distant cause-and-effect relationships. We have made it our mission to digitally define the products that we develop as comprehensively as possible. From requirements management to the test plan in verification or the test requirements for series production. This is to be understood as a digital twin or model-based engineering. We combine and link requirements, system architecture, mechanics, hardware, software and verification data. In just a few loops, we optimize your entire system to a perfect product. The definition of all product and production-relevant data is done in the 3D model and this can be used on many levels such as validation, product management or even marketing.

Tools:

• MATLAB Simulink
• SimulationX
• Ansys

Project examples:

• Pipetting aid
• Simulation of fluid exchange in a dialysis machine