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Measurement Uncertainty of Microscopic Laser Triangulation on Technical Surfaces

Published online by Cambridge University Press:  27 October 2015

Thomas Mueller*
Affiliation:
Institute of Measurement and Automatic Control, Nienburger Str. 17, 30167 Hannover, Germany
Andreas Poesch
Affiliation:
Institute of Measurement and Automatic Control, Nienburger Str. 17, 30167 Hannover, Germany
Eduard Reithmeier
Affiliation:
Institute of Measurement and Automatic Control, Nienburger Str. 17, 30167 Hannover, Germany
*
*Corresponding author. [email protected]
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Abstract

Laser triangulation is widely used to measure three-dimensional structure of surfaces. The technique is suitable for macroscopic and microscopic surface measurements. In this paper, the measurement uncertainty of laser triangulation is investigated on technical surfaces for microscopic measurement applications. Properties of technical surfaces are, for example, reflectivity, surface roughness, and the presence of scratches and pores. These properties are more influential in the microscopic laser triangulation than in the macroscopic one. In the Introduction section of this paper, the measurement uncertainty of laser triangulation is experimentally investigated for 13 different specimens. The measurements were carried out with and without a laser speckle reducer. In the Materials and Methods section of this paper, the surfaces of the 13 specimens are characterized in order to be able to find correlations between the surface properties and the measurement uncertainty. The last section of this paper describes simulations of the measurement uncertainty, which allow for the calculation of the measurement uncertainty with only one source of uncertainty present. The considerations in this paper allow for the assessment of the measurement uncertainty of laser triangulation on any technical surface when some surface properties, such as roughness, are known.

Type
Materials Applications and Techniques
Copyright
© Microscopy Society of America 2015 

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References

Blais, F. (2003). Review of 20 years of range sensor development. J Elect Imaging 13(1), 231243.Google Scholar
Costa, M.F.M. (2012). Optical triangulation-based microtopographic inspection of surfaces. Sensors 12(4), 43994420.Google Scholar
Dainty, J.C., Ennos, A.E., Franon, M., Goodman, J.W., McKechnie, T.S. & Parry, G. (1975). Laser Speckle and Related Phenomena. Topics in Applied Physics, vol. 9, Springer Berlin Heidelberg.Google Scholar
Dorsch, R.G., Häusler, G. & Herrmann, J.M. (1994). Laser triangulation: Fundamental uncertainty in distance measurement. Appl Opt 33, 13061314.Google Scholar
EU (2014). Clean Sky research programme. Available at http://www.cleansky.eu (retrieved October 30, 2014).Google Scholar
Fisher, R.B. & Naidau, D.K. (1996). A comparison of algorithms for subpixel peak detection. In Image Technology: Advances in Image Processing, Multimedia and Machine Vision, J.L.C. Sanz (Ed.), Springer Berlin Heidelberg, pp. 385404.Google Scholar
Fujii, H. & Asakura, T. (1977). Effect of the point spread function on the average contrast of image speckle patterns. Opt Commun 21(1), 8084.CrossRefGoogle Scholar
Häusler, G. & Ettl, S. (2011). Limitations of optical 3D sensors. In Optical Measurement of Surface Topography, Leach R. (Ed.), pp. 2348. Berlin Heidelberg: Springer. ISBN: 978-3-642-12011-4.Google Scholar
ISO (2012). ISO 25178: Geometrical Product Specifications (GPS) – Surface Texture: Areal. Geneva, Switzerland: ISO.Google Scholar
Ji, Z. & Leu, M.C. (1989). Design of optical triangulation devices. Opt Laser Technol 21(5), 339341.Google Scholar
Keferstein, C.P. & Marxer, M. (1998). Testing bench for laser triangulation sensors. Sens Rev 18(3), 183187.Google Scholar
Lathrop, R.R. (1997). Solder paste print qualification using laser triangulation. IEEE Trans Compon Packag Manuf Technol C 20(3), 174182.CrossRefGoogle Scholar
Leach, R. (2011). Optical Measurement of Surface Topography. Springer-Verlag Berlin Heidelberg: Springer.CrossRefGoogle Scholar
Leach, R. (2013). Characterisation of Areal Surface Texture. Springer-Verlag Berlin Heidelberg: Springer.Google Scholar
Lefebvre, D., Doucet, M., Duval, Y. & Roy, S. (2013). 3D laser triangulation compensation for non-uniform surfaces reflectivity. Imaging and Applied Optics, OSA Technical Digest (online) (Optical Society of America, 2013), paper ATu2B.3, doi:10.1364/AIO.2013.ATu2B.3.CrossRefGoogle Scholar
Lowenthal, S. & Joyeux, D. (1971). Speckle removal by a slowly moving diffuser associated with a motionless diffuser. J Opt Soc Am 61, 847851.CrossRefGoogle Scholar
Mueller, T., Langmann, B. & Reithmeier, E. (2014). Development of a measurement system for the online inspection of microstructured surfaces in harsh industrial conditions. Proc. SPIE 9141, Optical Sensing and Detection III, doi:10.1117/12.2052080.Google Scholar
Park, J. & Kak, A.C. (2008). 3D modeling of optically challenging objects. IEEE Trans Vis Comput Graph 14(2), 246262.Google Scholar
Pedersen, H.M. (1976). Theory of speckle dependence on surface roughness. J Opt Soc Am 66, 12041210.CrossRefGoogle Scholar
Walsh, M.J. (1982). Turbulent boundary layer drag reduction using riblets. AIAA paper, AIAA, Orlando, FL, USA.Google Scholar
Wang, S.H., Tay, C.J., Quan, C., Shang, H.M. & Zhou, Z.F. (2000). Laser integrated measurement of surface roughness and micro-displacement. Meas Sci Technol 11(5), 454.Google Scholar