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Area of Science:

  • Metrology and Measurement Science
  • Optical Engineering
  • Surface Metrology

Background:

  • Laser triangulation sensors are crucial for 3D scanning but exhibit performance variability.
  • Assessing sensor performance, comparability, and traceability is challenging due to diverse equipment.
  • Standardized evaluation methods are needed to ensure reliable 3D scanning data.

Purpose of the Study:

  • To analyze the performance of three laser triangulation sensors in different configurations.
  • To investigate the impact of sphere material and surface finish on 3D scanning accuracy.
  • To develop a procedure for optimal filtering and provide usage recommendations for spheres.

Main Methods:

  • Utilized high-precision spheres (varying materials and finishes) as references.
  • Configured three laser triangulation sensors in distinct arrangements.
  • Measured reference parameters: diameter, form error, and point cloud standard deviation.

Main Results:

  • Quantified an 'edge effect' impacting measurements at the scanned surface horizon.
  • Developed an optimal filtering procedure to remove spurious and form-spoiling points.
  • Created a usage chart recommending sphere types for different sensor configurations.

Conclusions:

  • The proposed filtering method significantly enhances 3D measurement quality.
  • Understanding sensor-specific performance and sphere interactions is key for accurate 3D scanning.
  • The developed guidelines improve the comparability and traceability of laser triangulation measurements.