Skip to main content

Towards a Virtual Optical Coordinate Measurement Machine

  • Conference paper
  • First Online:
Smart, Sustainable Manufacturing in an Ever-Changing World

Part of the book series: Lecture Notes in Production Engineering ((LNPE))

  • 829 Accesses

Abstract

Optical coordinate measuring machines offer portability and the ability to capture vast quantities of data points quickly. But traceability of measurements in these systems is difficult since they are fraught with many challenges affecting the uncertainty of measurements, e.g. image noise, variable setups, point cloud based measurements. The VDI (Verein Deutscher Ingenieure) German standard is used for verification of these systems using non-complex artefacts that are easy to measure and have already been calibrated with other traceable measuring machines. ISO 10360–13 were only released in 2020. However, neither the VDI nor ISO standard cater for freeform surfaces. The Virtual CMM (Coordinate Measurement Machine) technique solves the problem of traceability of freeform surface measurements. This technique has only been applied to tactile CMMs and articulated arm optical CMMs, also known as discrete point systems, since they measure one point at a time. This research paper reports on the development and application of the Virtual CMM technology to a stereovision scanning optical coordinate measuring system.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Sladek, J., Gaska, A., Olszewska, M., Kupiec, R., Krawczyk, M.: Virtual Coordinate measuring machine built using laser tracer system and spherical standard. Metrol. Measure. Syst. 20(1), 77–86 (2013)

    Article  Google Scholar 

  2. Luthuli, Z.: Traceability of Measurements in Optical Coordinate Measuring Machines, Master Thesis, Stellenbosch University, South Africa (2020)

    Google Scholar 

  3. Trenk, M., Franke, M., Schwenke, H.: The “Virtual CMM” a Software Tool for Uncertainty Evaluation—Practical Application in an Accredited Calibration Lab, Department of Coordinate Metrology, 38116 Braunschweig, Germany (2009)

    Google Scholar 

  4. Beraldin, J.: Basic Theory on Surface Measurement Uncertainty of 3D Imaging Systems, Institute for Information Technology, Canada (2009)

    Google Scholar 

  5. VDE/VDI 2634—1: German Standard, Optical 3D measuring systems in Imaging systems with point by point probing (2002)

    Google Scholar 

  6. Sladek, J., Gaska, A.: Evaluation of coordinate measurement uncertainty with the use of virtual machine model based on monte carlo method. Measurement 45(6), 1564–1575 (2012)

    Article  Google Scholar 

  7. BS EN ISO 15530—3, Geometric Product Specifications—Coordinate Measuring Machines, Technique for determining the uncertainty of measurements: Use of calibrated workpieces or measurement standards (2011)

    Google Scholar 

  8. Sladek, J., Gaska, A., Olzewska, M., Kupiec, R., Krawczyk, M.: Virtual coordinate measuring machine built using laser tracer system and spherical standards. Metrol. Measure. Syst. 20(1), 77–86 (2013)

    Article  Google Scholar 

  9. Busch, K., Kunzmann, H., Waldele, F.: Calibration of coordinate measuring machines. Precis. Eng. 7(3), 139–144 (1985)

    Article  Google Scholar 

  10. Muralikrishnan, B., Rachakonda, P., Shilling, M., Lee, V., Blackburn, C., Sawyer, D., Cheok G., Cournoyer, L.: ASTM E57.02—1: Instrument run off at NIST, in Background Information and Key Findings, US Department of Commerce (2016)

    Google Scholar 

  11. Henning B., Schreve, K.: Laser based stereovision measurement of aspherical mirrors, Test and Measurement Conference, Muldersdrift, South Africa (2013)

    Google Scholar 

  12. Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2003)

    Google Scholar 

  13. BIPM JCGM 101: Guide to the Expression of Uncertainty in Measurements (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to K. Schreve .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Luthuli, Z., Schreve, K., Kurger, O.A. (2023). Towards a Virtual Optical Coordinate Measurement Machine. In: von Leipzig, K., Sacks, N., Mc Clelland, M. (eds) Smart, Sustainable Manufacturing in an Ever-Changing World. Lecture Notes in Production Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-15602-1_53

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-15602-1_53

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-15601-4

  • Online ISBN: 978-3-031-15602-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics