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Use of White Light and Laser 3D Scanners for Measurement of Mesoscale Surface Asperities

Part of the Lecture Notes in Mechanical Engineering book series (LNME)


Depending on the purpose of a manufactured part, quality assessment is performed within macro-, micro-, or mesoscale. The first two apply strictly to geometry and surface texture (topography or profile) measurements, respectively. The latter however, applies for measurements of features that do not belong strictly to either of the two scales mentioned above, and its boundaries are ambiguous in their nature, often overlapping the two basic scales. In this paper the authors have undertaken the assessment of the possibility to use macro-scale dedicated scanners for surface asperities measurement – features usually considered as micro-scale. The choice of the measurement systems was inspired by the limitations of previously used roughness measurement systems, which lacked a sufficient vertical range. At the same time, due to high roughness values, large areas have to be measured, which would take significant amount of time, when performing traditional roughness measurement. Several scanners were evaluated: white and blue structural light, laser, and laser with tracking device. The collected data were compared to the results obtained from a specialized Coherent Scanning Interferometer (CSI). The final results have undergone a two-level assessment: qualitative, which compared the quality of whole surfaces; quantitative, using surface texture parameters. The results allow to state that 3D scanners can be used in some cases for surface asperities assessment, however most promising values were obtained, when using devices with higher resolution.


  • Mesoscale
  • Surface topography
  • 3D scanner
  • CSI

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  • DOI: 10.1007/978-3-030-18682-1_19
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  1. Wieczorowski M (2018) Digitization of surfaces in micro, meso and macro applications. Mechanik 11

    Google Scholar 

  2. Senin N, Leach R (2018) Information-rich surface metrology. Procedia CIRP 75:19–26 ISSN 2212-8271

    CrossRef  Google Scholar 

  3. Marteau J, Wieczorowski M, Xia Y, Bigerelle M (2014) Multiscale assessment of the accuracy of surface replication. Surf Topogr Metrol Prop 2(2):044002

    CrossRef  Google Scholar 

  4. Youssra R, Sara R (2018) Big data and big data analytics: concepts, types and technologies. Int J Res Eng [S.l.] 5(9):524–528 ISSN 2348-7860

    CrossRef  Google Scholar 

  5. Cepova L, Kovacikova A, Cep R, Klaput P, Mizera O (2018) Measurement system analyses – Gauge repeatability and reproducibility methods. Measur Sci Rev 18(1):20–27

    CrossRef  Google Scholar 

  6. TopMap Family.

  7. Atos Core Optical 3D Scanner GOM.

  8. Go!SCAN 3D.

  9. HandySCAN 3D.

  10. MetraSCAN 3D.

  11. Deepak Lawrence K, Shanmugamani R, Ramamoorthy B (2014) Evaluation of image based Abbott-Firestone curve parameters using machine vision for the characterization of cylinder liner surface topography. Measurement 55:318–334 ISSN 0263-2241

    CrossRef  Google Scholar 

  12. Stout KJ, Blunt L, Mainsah E, Dong W, Mainsah E, Luo N, Mathia T, Sullivan P, Zahouani H (2003) Development of methods for the characterisation of roughness in three dimensions. Butterworth-Heinemann, Oxford

    Google Scholar 

  13. Tomkowski R, Kapłonek W, Kacalak W, Łukianowicz C, Lipiński D, Cincio R (2013) Digital filtration methods in the assessment of surface topography (in Polish). VI Kongres Metrologii, Kielce-Sandomierz

    Google Scholar 

  14. Laheurte R, Darnis P, Darbois N, Cahuc O, Neauport J (2012) Subsurface damage distribution characterization of ground surfaces using Abbott-Firestone curves. Opt Express 20:13551–13559

    CrossRef  Google Scholar 

  15. Petzing JN, Coupland JM, Leach RK (2010) The measurement of rough surface topography using coherence scanning interferometry. NPL Measurement good practice guide 116

    Google Scholar 

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The presented research was conducted within a task “Analysis of the influence of the surface preparation process on the measurement uncertainty of geometrical features of rings and rims” realized within a project No. POIR.01.01.01-00-0208/17, entitled: “Automated line for quality control and examination of rings and rims, with intelligent system of identification and measurement of internal defects using PA method, form measurement by means of 3D measurement heads, and inspection of mechanical properties SMART-HARD”, realized by Huta Bankowa Sp. z o.o. within Smart Growth Operational Program 2014–2020. Priority Axis I: Support for R&D activity of enterprises. Investment Priority 1b: R&D projects of enterprises.

Research was cofinanced with grants for education allocated by the Ministry of Science and Higher Education in Poland No. 02/22/DSPB/1432.

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Correspondence to Bartosz Gapiński .

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Gapiński, B. et al. (2019). Use of White Light and Laser 3D Scanners for Measurement of Mesoscale Surface Asperities. In: Diering, M., Wieczorowski, M., Brown, C. (eds) Advances in Manufacturing II. MANUFACTURING 2019. Lecture Notes in Mechanical Engineering. Springer, Cham.

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