Three-phase asynchronous motors are characterized by simple structure, high power density and low cost, but their efficiency still needs to be improved. Therefore, genetic algorithm is combined with the traditional finite element method to reduce the energy loss by optimize the shape of stator slot. In order to improve the efficiency of the optimization simulation of the motor, a bidirectional data transfer between Python and Ansys Maxwell is carried out. The experimental results show that the energy loss of the motor after stator slot structure optimization is reduced by 5.87% and the motor efficiency performance is therefore improved.
Digital Twin is a hot research topic in the context of smart manufacturing. This study aims to create a remote multi-platform robotic arm Digital Twin system based on OPC UA and Unity engine. Firstly, the basic principle model of the system is established, including the “real control virtual” and “virtual control real” frameworks. Subsequently, the virtual model is created using solid works, imported into Unity to complete the scene construction, various functional scripts are written using c# and given to each corresponding model, different resource packages are downloaded and different environments are configured for different platforms, Finally, connect the device and package the program to the corresponding platform device to realize the multiplatform Digital Twin of VR, AR, PC, etc.
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