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Distance sensing to rough semitransparent and multiscattering materials using dynamic speckles.

Dmitry Semenov1, Igor Sidorov, Ervin Nippolainen

  • 1Department of Physics, University of Kuopio, P.O.B. 1627, FI-70211 Kuopio, Finland. dmitry.semenov@uku.fi

Applied Optics
|October 3, 2009
PubMed
Summary

This study introduces a new laser-based method for measuring distance to moving, difficult surfaces. The technique effectively measures distance to semitransparent and rough materials at high speeds.

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Area of Science:

  • Optics and Photonics
  • Materials Science
  • Industrial Metrology

Background:

  • Noncontact distance measurement using laser light is crucial for industrial applications like profile monitoring and wear estimation.
  • Existing methods, such as triangulation, face limitations with nonhomogeneous, semitransparent, and rough materials, especially for fast-moving objects.
  • Accurate measurement of dynamic, scattering surfaces remains a significant challenge in industrial settings.

Purpose of the Study:

  • To develop and present a novel online method for distance sensing to challenging surfaces.
  • To address the limitations of current techniques for semitransparent and multiscattering materials.
  • To enable accurate distance measurements for fast-moving industrial components.

Main Methods:

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  • The study proposes a new method based on the spatial filtering of dynamic laser speckles.
  • This technique is designed for online, real-time distance sensing.
  • The method is specifically tailored for semitransparent and multiscattering surfaces like paper, wood, and polymers.

    • Main Results:

    • The proposed spatial filtering of dynamic speckles method was successfully validated.
    • The technique demonstrated effectiveness in measuring distances to challenging surfaces.
    • Measurements were accurately performed on test surfaces moving at speeds up to 35 m/s.

    Conclusions:

    • The novel method offers a viable solution for noncontact distance sensing to difficult surfaces.
    • This approach overcomes limitations of traditional methods for semitransparent and rough materials.
    • The technique is suitable for high-speed industrial applications requiring precise distance monitoring.