A Statistical Approach To Prediction Of The CMM Drift Behaviour Using A Calibrated Mechanical Artefact

• Autorzy: Cuesta E. , Alvarez B. , Sanchez-Lasheras F. , Gonzalez-Madruga D.

Identyfikatory

DOI

10.1515/mms-2015-0033

• Języki publikacji: EN

Abstrakty

EN

This paper presents a multivariate regression predictive model of drift on the Coordinate Measuring Machine (CMM) behaviour. Evaluation tests on a CMM with a multi-step gauge were carried out following an extended version of an ISO evaluation procedure with a periodicity of at least once a week and during more than five months. This test procedure consists in measuring the gauge for several range volumes, spatial locations, distances and repetitions. The procedure, environment conditions and even the gauge have been kept invariables, so a massive measurement dataset was collected over time under high repeatability conditions. A multivariate regression analysis has revealed the main parameters that could affect the CMM behaviour, and then detected a trend on the CMM performance drift. A performance model that considers both the size of the measured dimension and the elapsed time since the last CMM calibration has been developed. This model can predict the CMM performance and measurement reliability over time and also can estimate an optimized period between calibrations for a specific measurement length or accuracy level.

Słowa kluczowe

EN

multivariate regression models; coordinate measuring machine; drift behaviour; calibration

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2015
• Tom: Vol. 22, nr 3
• Strony: 417--428
• Opis fizyczny: Bibliogr. 33 poz., rys., tab., wykr.

Twórcy

autor

Cuesta E.

• University of Oviedo, Department of Construction & Manufacturing Engineering, Campus de Gijon, 33203 Gijon, Asturias, Spain

autor

Alvarez B.

• University of Oviedo, Department of Construction & Manufacturing Engineering, Campus de Gijon, 33203 Gijon, Asturias, Spain

autor

Sanchez-Lasheras F.

• University of Oviedo, Department of Construction & Manufacturing Engineering, Campus de Gijon, 33203 Gijon, Asturias, Spain

autor

Gonzalez-Madruga D.

• University of León, Department of Mechanical, Informatics and Aerospatiale Engineering, Campus of Vegazana, 24071 León, Spain

Bibliografia

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Uwagi

EN

Authors gratefully acknowledge the financial support provided by the Spanish Ministry of Economy and Competitiveness through FEDER (ERDF) research project DPI2012-36642.