Skip to main content
Log in

Evaluation of Coordinate measuring machine using Gage Repeatability & Reproducibility

  • Original Article
  • Published:
International Journal of System Assurance Engineering and Management Aims and scope Submit manuscript

Abstract

Gage Repeatability & Reproducibility (Gage R&R) is a useful technique in industry that is used to determine the adequacy of a measuring system. Generally, Gage R&R involves multiple operators taking multiple measurements of a particular feature. In this paper, Gage R&R of CMM is undertaken wherein the operator is replaced by three different factors which can affect the measurement like Location, Probe Diameter and Touch Speed. Internal Diameter, Overall Length, Parallelism and External Diameter of ten components were measured during the R & R study. The study revealed that percentage contribution of variance component due to Reproducibility was less than 2.18% thereby assuring that the change in location, probe radius or touch speed would not have a significant effect on the measurement of the features mentioned. This analysis would help industry to determine if measurement due to any of the above three factors is reliable.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Araújo LMM, Paiva RGN, Peruchi RS, Junior PR, Gomes JH (2019) New indicators for measurement error detection in GR&R studies. Measurement 140:557–564

    Article  Google Scholar 

  • Asplund M, Lin J (2016) Evaluating the measurement capability of a wheel profile measurement system by using GR&R. Measurement 92:19–27

    Article  Google Scholar 

  • Automotive Industry Action Group (AIAG) (2010) Measurement system analysis. Reference manual, 4th edn. AIAG, Michigan

    Google Scholar 

  • Burdick RK, Larsen GA (1997) Confidence intervals on measures of variability in R&R studies. J QualTechnol 29(3):261–273

    Google Scholar 

  • Burdick RK, Borror CM, Montgomery DC (2003) A review of methods for measurement systems capability analysis. J QualTechnol 35(4):342–354

    Google Scholar 

  • Dalalah D, Hani DB (2016) A precision-to-tolerance ratio model for the assessment of measurements uncertainty. PrecisEng 44:143–151

    Article  Google Scholar 

  • Dev A, Jha PK, Parkash V (2018) Effect of automation on GRR in tactile measurement. MAPAN 33(4):449–458

    Article  Google Scholar 

  • Diering M, Hamrol A, Kujawińska A (2015) Measurement system analysis combined with Shewhart’s approach. Key Eng Mater 637:7–11

    Article  Google Scholar 

  • Doshi JA, Desai DA (2019) Measurement system analysis for continuous quality improvement in automobile SMEs: multiple case study. Total QualManag Bus Excell 30(5–6):626–640

    Article  Google Scholar 

  • Eisenhart C (1963) Realistic evolution of the precision and accuracy of instrument calibration systems. J Res Natl Bureau Stand EngInstrum C 67:161

    Article  Google Scholar 

  • Forrest EC, Mertes R, Gray JM, Brumbach MT, Ramsdale SJ, Argibay N, Tran HD (2019) Plastic deformation and material transfer on steel gage blocks during low force mechanical probing. PrecisEng 57:253–261

    Article  Google Scholar 

  • Gadim HG, Doniavi A (2018) Improving structural properties of polymer fibers to design and construct fiber spinneret and optimize process parameters using response surface method and gage R&R. J MechSciTechnol 32(3):1135–1142

    Google Scholar 

  • Holub M, Jankovych R, Andrs O, Kolibal Z (2018) Capability assessment of CNC machining centres as measuring devices. Measurement 118:52–60

    Article  Google Scholar 

  • Jarosova E (2020) The use of D-optimal design in an expanded gauge R&R study. QualEng. https://doi.org/10.1080/08982112.2020.1745233

    Article  Google Scholar 

  • Juran JM (2010) Attaining superior results through quality. Juran’s quality handbook. The complete guide to performance excellence, 6th edn. McGraw Hill, New York

    Google Scholar 

  • Kappele WD, Raffaldi J (2006) Gage R&R: improves quality and profitability: a gage repeatability and reproducibility study can determine if a measurement system is acceptable for the required measurement. Quality 45(6):50–52

    Google Scholar 

  • Pan JN, Li CI, Ou SC (2015) Determining the optimal allocation of parameters for multivariate measurement system analysis. Expert SystAppl 42(20):7036–7045

    Article  Google Scholar 

  • Saikaew C (2018) An implementation of measurement system analysis for assessment of machine and part variations in turning operation. Measurement 118:246–252

    Article  Google Scholar 

  • Zanobini A, Sereni B, Catelani M, Ciani L (2016) Repeatability and reproducibility techniques for the analysis of measurement systems. Measurement 86:125–132

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ameya Shirodkar.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shirodkar, A., Rane, S. Evaluation of Coordinate measuring machine using Gage Repeatability & Reproducibility. Int J Syst Assur Eng Manag 12, 84–90 (2021). https://doi.org/10.1007/s13198-020-01050-2

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13198-020-01050-2

Keywords

Navigation