Modeling and compensation integration for multi-source errors in laser triangulation
In order to minimize damage to the surface being measured and improve measurement speed, laser triangulation technique has been widely employed in various ultra-precision manufacturing processes and precision instruments. However, several factors such as ambient light interference, scattering of par...
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Veröffentlicht in: | Applied physics. B, Lasers and optics Lasers and optics, 2024-03, Vol.130 (3), Article 40 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | In order to minimize damage to the surface being measured and improve measurement speed, laser triangulation technique has been widely employed in various ultra-precision manufacturing processes and precision instruments. However, several factors such as ambient light interference, scattering of particles in the measuring medium, surface roughness, inclination, and movement of the target surface collectively influence the measurement accuracy of laser triangulation. Therefore, it is crucial to establish an error model and compensate for the measurement errors. This paper investigates the individual and coupled effects of these factors on measurement errors, and based on this analysis, proposes an integrated error model that enables higher-precision measurements using laser triangulation. Additionally, through a combination of modeling and experiments, this research identifies novel phenomena related to the interference caused by different regions of ambient light, surface inclination failure, and the interference caused by particles in the smoke medium. Through a comprehensive compensation experiment across the full measurement range, the average measurement error was reduced by 73%, and no measurement failures were encountered. These results demonstrate the effectiveness of the integrated error model in reducing measurement errors in laser triangulation.Therefore, this study provides valuable insights into improving the accuracy of laser triangulation measurements using an integrated error model. |
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ISSN: | 0946-2171 1432-0649 |
DOI: | 10.1007/s00340-024-08173-5 |