Abstract
The high degree of individuality as well as complexity in metal-forming technology is still challenging regarding the development, integration, and operation of cognitive IoT technologies, such as sensors. In particular, the requirements for these systems in terms of robustness and sensitivity are often in conflict and prevent the widespread use of such systems. In this paper, a method for creating digital twin-based virtual sensors is introduced, which can resolve this target conflict. Furthermore, the method is linked to an approach for developing and identifying the digital twin representing the elasto-mechanical behavior of the machine under process condition to sensing technology. The resulting approach is demonstrated by creating virtual sensors to monitor the elasto-mechanical behavior of a servo-mechanical-forming press.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
