Error Identification Of Measurement Software Based On Digital Twin Of Gear Measuring Center

The verification of measurement software has become a challenge as more types of workpiece being measured with gear measuring centers and the increasing complexity of measurement software. In this research, the digital twin of a gear measuring center (DTGMC) was constructed as an evaluation platform for various types of measurement software. Various digital workpieces instead of physical artifacts were measured on the DTGMC. Based on this platform, the evaluation methods for the measurement software were discussed, and three experiments were carried out. The involute measurement model was identified using multiple digital workpieces with known errors. The probe compensation algorithm was identified using different radii probes and a pin. Three position compensation algorithms were also verified using loading different motion errors. The results showed that the evaluation methods based on the DTGMC could effectively identify various errors in measurement software, providing a new concept for the independent evaluation of measurement software.