Abstract
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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Data availability
The data that support the findings of this study are available from the corresponding author, S. Ji, upon reasonable request.
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Funding
This work was supported by Science Center for Gas Turbine Project(Grant No P2022-A-IV-002-003), National Natural Science Foundation of China (Grant No 51775237), Key R&D Projects of the Ministry of Science and Technology of China (Grant Nos. 2017YFA0701200 and 2018YFB1107600), Key R&D Projects of Jilin province of China (Grant Nos 20200401121GX and 20200401144GX) and Technology innovation guidance-Pharmaceutical health industry development special (Grant Nos 20230401099YY).
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LZ: Methodology, data curation, writing-original draft preparation, data curation, investigation, visualization. JS: Writing—review and editing, conceptualization, investigation, resources, funding acquisition. ZJ: Methodology, conceptualization, resources, project administration.
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Liu, Z., Ji, S. & Zhao, J. Modeling and compensation integration for multi-source errors in laser triangulation. Appl. Phys. B 130, 40 (2024). https://doi.org/10.1007/s00340-024-08173-5
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DOI: https://doi.org/10.1007/s00340-024-08173-5