Digital Twin of an Optical Measurement System.

Area of Science:

• Metrology and Measurement Science
• Optical Engineering
• Computational Modeling

Background:

• Digital twins are crucial for estimating measurement uncertainty in complex systems.
• Research on digital twins for optical systems is limited due to numerous error sources.
• Virtual coordinate measuring machines have been extensively studied, but optical systems require novel approaches.

Purpose of the Study:

• To present a method for describing a digital twin of an optical measurement system.
• To mathematically model individual components of the measurement system.
• To enable virtual measurement and uncertainty estimation for optical systems.

Main Methods:

• Developed a digital twin for a laser line scanner mounted on a coordinate measuring machine.
• Mathematically described coordinate measuring machine hardware errors and laser line scanner measurement errors (scan depth, in-plane, out-of-plane angles).
• Applied the Monte Carlo principle for virtual measurements and uncertainty estimation, assuming stable conditions and uniform surfaces.

Main Results:

• Validated the digital twin using calibrated ring gauges.
• Demonstrated accurate virtual uncertainty estimation by comparing with experimental data.
• Confirmed the reliability of the digital twin by comparing estimated confidence intervals with calibrated diameters.

Conclusions:

• The proposed digital twin method effectively estimates measurement uncertainty for optical systems.
• This approach addresses the research gap in digital twins for optical measurement systems.
• The validated digital twin provides a reliable tool for assessing the performance of laser line scanners on coordinate measuring machines.