In this example, a digital twin of an electric motor will be made using ANSYS Twin Builder and PTC ThingWorx.
The physical motor asset has a voltage and a current sensor. Its loads are then controlled using solenoids.
Creating a digital twin of this asset doesn’t require any sensors within the motor or on its rotor to determine its temperatures. To predict the motor’s temperature, engineers have to first develop a physical representation of the motor in ANSYS Multiphysics software.
Once the modeling is completed, it is integrated into Twin Builder using a reduced order model (ROM) and used to create a digital twin of the motor.
ANSYS Twin Builder workflow for developing and deploying digital twinsANSYS Twin Builder workflow for developing and deploying digital twins
This digital twin can predict the motor’s current and future maximum temperature, in real time, based on the current. The digital twin can be exported and deployed on an IIoT platform, in this case PTC ThingWorx, to predict the remaining useful life of the motor for predictive maintenance purposes.
To learn how to build an IIoT digital twin in more details, watch the webinar: Product Simulation Models Incorporated into Digital Twin Applications to Accelerate Monitoring and Service.View Blog Post