Gain valuable insights into process behavior through simulation and speed up development by avoiding costly design errors.
Digital twin technology enables the co-simulation of mechanics, electronics and software to verify complete machine functionality before a prototype is built. In early stages of development, these virtual models allow you to:
• validate system requirements
• make design trade-offs
• avoid costly mistakes in development or commissioning
Digital twins prove their value not just at the start of a project, but in every iteration throughout the product life cycle. For example, the technology can be used to verify incremental software releases, perform automatic tests, reproduce certain errors, for training purposes, and much more.
Digital twins are very useful in an initial development phase where trade-offs need to be made on a mechanical, electronic or software level. Virtualize your design before a prototype is built by adding actuators and sensors to your CAD models and simulate them in a real-world environment. For highly variable processes, hybrid and/or data-driven models can be used. Because every digital twin is unique, Vintecc will customize its approach to your specific needs.
By using digital models in co-simulation, you can gain insight into component interaction and system behavior. These findings can help you evaluate design requirements, assumptions and trade-offs in a phase when the cost of an error is still virtually zero. Machine functionality can be virtually verified.
Imagine if you could guarantee software behavior at every release. With model-in-the-loop and software-in-the-loop simulation (MIL/SIL), this dream becomes a reality. Not only do you get the ability to simulate software, you can also test it in a virtual environment under a wide range of conditions. In this way, you can take the guesswork out of securing overall system quality.
To ensure that system requirements are met at every software release and provide a worry-free experience, our experts will set up automated testing based on anticipated or historical scenarios. This results in a report that confirms whether the software works as indicated.