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Metrology Benchmarking of 3D Scanning Sensors Using a Ceramic GD&T-Based Artefact.
Eduardo Cuesta1, Víctor Meana1, Braulio J Álvarez1
1Department of Construction and Manufacturing Engineering, University of Oviedo, Campus de Gijón, 33203 Gijón, Spain.
Sensors (Basel, Switzerland)
|November 26, 2022
Summary
This study compares four 3D scanning sensors for industrial metrology. It found that while non-contact scanners offer speed and ease, their accuracy requires careful validation for reliable dimensional and geometric inspection.
Area of Science:
- Metrology and Industrial Inspection
- Advanced Sensor Technology
Background:
- Non-contact 3D scanning is increasingly used in industry for dimensional and geometric inspection.
- This shift from reverse engineering to metrology necessitates ensuring measurement accuracy and traceability.
Purpose of the Study:
- To compare the accuracy and performance of different 3D scanning sensors for metrological applications.
- To evaluate the achievable accuracy of non-contact scanning technologies in industrial settings.
Main Methods:
- Designed and calibrated a standard artefact with multiple geometric dimensioning and tolerancing (GD&T) features.
- Experimented with four 3D scanning sensors: three laser triangulation and one structured blue light.
- Used a coordinate measuring machine (CMM) for high-accuracy calibration and reference GD&T values.
- Applied standardized point cloud processing techniques to all sensor data.
Main Results:
- Obtained reliable measurements of the maximum achievable accuracy for each 3D scanning device.
- Quantified deviations between 3D scanner measurements and CMM reference values.
- Performed a multi-characteristic comparison of the four sensors' performance.
Conclusions:
- Validated the accuracy of non-contact 3D scanning for metrology.
- Highlighted the importance of standardized evaluation methodologies for ensuring measurement traceability.
- Provided a reliable basis for selecting appropriate 3D scanning technology for specific industrial inspection tasks.

