Skip to main content
SpringerLink
Log in

On the influence of scanning factors on the laser scanner-based 3D inspection process

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

3D inspection process is getting more and more interest for manufacturing industries as it helps to carefully check the expected quality of the released products. Much more attention is oriented to optical devices able to quickly capture the whole shape of the product providing many useful information on the process variability and the deliverability of the key characteristics linked to the quality of the product/process. Although the optical control of 3D scanners is mature enough, many factors may influence the quality of the scanned data. These factors may be strictly related to internal elements to the acquisition device, such as scanner resolution and accuracy, and external to it, such as proper selection of scanning parameters, ambient lighting and characteristics of the object surface being scanned (e.g. surface colour, glossiness, roughness, shape), as well as the sensor-to-surface relative position. For the 3D laser-based scanners, the most common on the market, it would be of great industrial interest to study some scanning factors mainly affecting the quality of the 3D surface acquisitions and provide users with guidelines in order to correctly set them so to increase the massive usage of these systems in the product inspection activities. In this context, by using a commercial triangulation 3D laser scanner, the effects of some scanning factors that may affect the measurement process were analysed in the present paper. Working on a sheet metal test part, more complex than the ones commonly used in laboratory and documented in the literature, the scanner-to-object relative orientation and the ambient lighting, as well as an internal scanner parameter, were tested. Through a Design of Experiments (DoE) approach, and setting root mean square error (RMSE) as response function, the outcomes of the tests mainly pointed out that the scanner-to-object relative orientation as well as its position within the field of view of the measurement device are the key factors mostly influencing the accuracy of the measurement process.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Schwenke H, Neuschaefer-Rube U, Pfeifer T, Kunzmann H (2002) Optical methods for dimensional metrology in production engineering. CIRP Ann Manuf Technol 51(2):685–699

    Article  Google Scholar 

  2. Martínez S, Cuesta E, Barreiro J, Álvarez B (2010) Analysis of laser scanning and strategies for dimensional and geometrical control. Int J Adv Manuf Technol 46:621–629

    Article  Google Scholar 

  3. Martínez S, Cuesta E, Barreiro J, Álvarez B (2010) Methodology for comparison of laser digitizing versus contact systems in dimensional control. Opt Lasers Eng 48:1238–1246

    Article  Google Scholar 

  4. Huang W, Liu J, Chalivendra V, Ceglarek D, Kong Z, Zhou Y (2013) Statistical Modal Analysis (SMA) for variation characterization and application in manufacturing quality control. IIE Trans 45

  5. Liu CS, Hu JS (1997) Variation simulation for deformable sheet metal assemblies using finite element methods. ASME J Manuf Sci Eng 119:368–374

    Article  Google Scholar 

  6. Lindau B, Lindkvist L, Andersson A, Soderberg R (2013) Statistical shape modeling in virtual assembly using PCA-technique. J Manuf Syst 32:456–463

    Article  Google Scholar 

  7. Hocken RJ, Chakraborty N, Brown C (2005) Optical metrology of surfaces. CIRP Ann Manuf Technol 54(2):169–183

    Article  Google Scholar 

  8. Savio E, De Chiffre L, Schmitt R (2007) Metrology of freeform shaped parts. CIRP Ann Manuf Technol 56(2):810–835

    Article  Google Scholar 

  9. Blanco D., Fenandez P., Cuesta E., Mateos S, Beltran N (2009) Influence of surface material on the quality of laser triangulation digitized point cloud for reverse engineering tasks. In ETFA2009, Palma de Mallorca (S)

  10. Cuesta E, Rico JC, Fernández P, Blanco D, Valino G (2009) Influence of roughness on surface scanning by means of a laser stripe system. Int J Adv Manuf Technol 43:1157–1166

    Article  Google Scholar 

  11. Forest J, Salvi J (2004) Laser stripe peak detector for 3D scanners. A FIR filter approach. In 17th Int. Conf. on Pattern Recognition (ICPR’04), Cambridge (UK), 3: 646–649

  12. Mahmuda M, Joannic D, Royb M, Isheil A, Fontaine JF (2011) 3D part inspection path planning of a laser scanner with control on the uncertainty. Comput Aided Des 43:345–355

    Article  Google Scholar 

  13. Feng HY, Liu Y, Xi F (2001) Analysis of digitizing errors of a laser scanning system. Precis Eng 25:185–191

    Article  Google Scholar 

  14. Van Gestel N, Cuypers S, Bleys P, Kruth JP (2009) A performance evaluation test for laser line scanners on CMMs. Opt Lasers Eng 47:336–342

    Article  Google Scholar 

  15. Prieto F, Lepage R, Boulanger P, Redarce T (2003) A CAD-based 3D data acquisition strategy for inspection. Mach Vis Appl 15:76–91

    Article  Google Scholar 

  16. ISO 10360-7 (2011) Geometrical product specifications (GPS)—Acceptance and re-verification tests for coordinate measuring machines (CMM)—Part 7: CMMs equipped with imaging probing systems. International Organization for Standardization, Geneva

    Google Scholar 

  17. VDI/VDE 2634-1,2,3 (2002) Optical 3D measuring systems—imaging systems with point-by-point probing. VDI, Beuth, Berlin

    Google Scholar 

  18. Acko B, McCarthy M, Haertig F, Buchmeister B (2012) Standards for testing freeform measurement capability of optical and tactile co-ordinate measuring machines. Meas Sci Technol 23(9) doi:10.1088/0957-0233/23/9/094013

  19. Box GEP, Hunter JS, Hunter WG (2005) Statistics for experimenters. Wiley, New York

    MATH  Google Scholar 

  20. Eriksson L, Johansson E, Kettanwh-Wold N, Wikström C, Wold S (2008) Design of experiments principles and applications, 3rd edn. Umetrics, Umea

    Google Scholar 

  21. Montgomery DC (2007) Design and analysis of experiments, 6th edn. Wiley, New York

    Google Scholar 

  22. Vukašinović N, Možina J, Duhovnik J (2012) Correlation between incident angle, measurement distance, object colour and the number of acquired points at CNC laser scanning. J Mech Eng 58(1):23–28

  23. Isheil A, Gonnet J-P, Joannic D, Fontaine J-F (2011) Systematic error correction of a 3D laser scanning measurement device. Opt Lasers Eng 49:16–24

    Article  Google Scholar 

  24. Dorsch RG, Hausler G, Hermann JM (1994) Laser triangulation: fundamental uncertainty in distance measurement. Appl Opt 33(7):1306–1314

    Article  Google Scholar 

  25. Coleman DE, Montgomery DC (1993) A systematic approach to planning for a designed industrial experiment. Technometrics 35(1):1–12

    Article  Google Scholar 

  26. Taguchi G, Chowdhury S, Wu Y (2004) Introduction to the signal-to-noise ratio, in Taguchi’s quality engineering handbook. Wiley, Hoboken, NJ. doi:10.1002/9780470258354.ch11

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Engineering Division, University of Molise, Campobasso, Italy

    Salvatore Gerbino

  2. University of Naples, Federico II, Naples, Italy

    Domenico Maria Del Giudice, Gabriele Staiano, Antonio Lanzotti & Massimo Martorelli

Authors
  1. Salvatore Gerbino
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Domenico Maria Del Giudice
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Gabriele Staiano
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Antonio Lanzotti
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Massimo Martorelli
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Salvatore Gerbino.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gerbino, S., Del Giudice, D.M., Staiano, G. et al. On the influence of scanning factors on the laser scanner-based 3D inspection process. Int J Adv Manuf Technol 84, 1787–1799 (2016). https://doi.org/10.1007/s00170-015-7830-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-015-7830-7

Keywords

Search

Navigation