Advertisement

Measurement of Bores Using Scanning Mode of Articulated Arm Coordinate Measuring Machines

  • Ashik Suresh
  • P. B. DhanishEmail author
Conference paper
First Online:
Part of the Lecture Notes on Multidisciplinary Industrial Engineering book series (LNMUINEN)

Abstract

Articulated arm coordinate measuring machines (AACMM) have become popular because of their portability, flexibility, and reduced cost though it is generally reputed that they are less accurate compared to CNC CMMs. We have compared the performance of a CNC CMM with a touch-trigger probe to that of an AACMM for the measurement of inner diameter of bores. AACMM was used in three different methods, viz., manual triggering, probe scanning for two revolutions, and finally scanning for the same time as that for manual triggering. Using each method, 20 bores were measured twice in random order and the uncertainties were computed using the measurement systems analysis approach. It was found that the measurement with AACMM in scanning mode gave overall lower uncertainties in the measurement of diameter. This may be because even though the single point coordinate uncertainty is lower in a CNC CMM, a larger number of points can be captured at the same time with an AACMM in scanning mode, thereby resulting in a lower task-specific measurement uncertainty.

Keywords

AACMM MSA Probe scan Uncertainty Coordinate metrology 
This is a preview of subscription content, log in to check access.

References

  1. 1.
    Hocken, R.J., Pereira, P.H.: Coordinate Measuring Machines and Systems, 2nd edn. CRC Press, Boca Raton (2017)Google Scholar
  2. 2.
    Santolaria, J., Yague, J.A., Jimenez, R., Aguilar, J.J.: Calibration based thermal error model for articulated arm coordinate measuring machines. Precis. Eng. 33, 476–485 (2009).  https://doi.org/10.1016/j.precisioneng.2009.01.002CrossRefGoogle Scholar
  3. 3.
    Filho, A.P., Fernandes, F.H.T., Arencibia, R.V.: Application of virtual spheres plate for AACMMs evaluation. Precis. Eng. 36, 349–355 (2012).  https://doi.org/10.1016/j.precisioneng.2011.10.004CrossRefGoogle Scholar
  4. 4.
    Li, K.H., Chen, B., Qiu, Z.R.: The calibration and error compensation techniques for an Articulated Arm CMM with two parallel rotational axes. Measurement 46, 603–609 (2013).  https://doi.org/10.1016/j.measurement.2012.08.020CrossRefGoogle Scholar
  5. 5.
    Mutilba, U., Kortaberria, G., Olarraa, A., Gutierreza, A., Acedoa, E.G., Zubietaa, M.: Performance calibration of articulated arm coordinate measuring machine. In: The Manufacturing Engineering Society International Conference, MESIC, pp. 720–727 (2013).  https://doi.org/10.1016/j.proeng.2013.08.264CrossRefGoogle Scholar
  6. 6.
    Madruga, D.G., Barreiro, J., Cuestab, E., Gonzaleza, B., Pelliteroa, S.M.: AACMM performance test: influence of human factor and geometric features. In: 24th DAAAM International Symposium on Intelligent Manufacturing and Automation, pp. 442–448 (2014).  https://doi.org/10.1016/j.proeng.2014.03.010CrossRefGoogle Scholar
  7. 7.
    Ostrowska, K., Gaska, A., Sladek, J.: Determining the uncertainty of measurement with the use of a virtual coordinate measuring arm. Int. J. Adv. Manuf. Technol. 71, 529–537 (2014).  https://doi.org/10.1007/s00170-013-5486-8CrossRefGoogle Scholar
  8. 8.
    Brau, A., Valenzuela, M, Santolaria, J., Aguilar, J.J.: Evaluation of different probing systems used in articulated arm coordinate measuring machines. Metrol. Meas. Syst. 21, 233–24 (2014).  https://doi.org/10.2478/mms-2014-0020CrossRefGoogle Scholar
  9. 9.
    Ostrowska, K., Gąska, A., Kupiec, R., Gromczak, K.: Verification of articulated arm coordinate measuring machines, accuracy using laser tracer system as standard of length. MAPAN 31, 241–256 (2016).  https://doi.org/10.1007/s12647-016-0176-2CrossRefGoogle Scholar
  10. 10.
    Acero, R., Brau, A., Santolaria, J., Pueo, M.: Evaluation of a metrology platform for an articulated arm coordinate measuring machine verification under the ASME B89.4.22-2004 and VDI 2617 9-2009 standards. J. Manuf. Syst. 42, 57–68 (2017).  https://doi.org/10.1016/j.jmsy.2016.11.002CrossRefGoogle Scholar
  11. 11.
    Vocabulary of Metrology (VIM) site: https://jcgm.bipm.org/vim/en/2.15.html. Last accessed 13 Aug 2018
  12. 12.
    Wheeler, D.J.: EMPIII Using Imperfect Data. Statistical Quality Control Inc., Tennessee (2006)Google Scholar
  13. 13.
  14. 14.
    NIST/SEMATECH e-Handbook of Statistical Methods, site: http://www.itl.nist.gov/div898/handbook/. Last accessed 27 June 2018
  15. 15.
    ISO 12180-1:2011, site: https://www.iso.org/obp/ui/#iso:std:iso:12180:-1:ed-1:v1:en. Last accessed 27 June 2018

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringNational Institute of Technology CalicutKozhikodeIndia

Personalised recommendations

Cite paper

Buy options