Improved calibration uncertainty assessment technique in coordinate metrology considering thermal influences

• Autorzy: Mussatayev Meirbek , Huang Meifa , Nurtas Marat , Arynov Azamat

Identyfikatory

DOI

10.24425/mms.2021.137699

• Języki publikacji: EN

Abstrakty

EN

Reliable measurement uncertainty is a crucial part of the conformance/nonconformance decision-making process in the field of Quality Control in Manufacturing. The conventional GUM-method cannot be applied to CMM measurements primarily because of lack of an analytical relationship between the input quantities and the measurement. This paper presents calibration uncertainty analysis in commercial CMM-based Coordinate Metrology. For the case study, the hole-plate calibrated by the PTB is used as a workpiece. The paper focuses on thermo-mechanical errors which immediately affect the dimensional accuracy of manufactured parts of high-precision manufacturers. Our findings have highlighted some practical issues related to the importance of maintaining thermal equilibrium before the measurement. The authors have concluded that the thermal influence as an uncertainty contributor of CMM measurement result dominates the overall budgets for this example. The improved calibration uncertainty assessment technique considering thermal influence is described in detail for the use of a wide range of CMM users.

Słowa kluczowe

EN

coordinate measuring machine; coordinate metrology; uncertainty; quality control; thermal influence

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2021
• Tom: Vol. 28, nr 4
• Strony: 609--626
• Opis fizyczny: Bibliogr. 35 poz., rys., tab., wykr., wzory

Twórcy

autor

Mussatayev Meirbek

• Guilin University of Electronic Technology, School of Mechanical & Electrical Engineering, 1 Jinji Rd, Guilin, Guangxi, 541004, China

autor

Huang Meifa

• Guilin University of Electronic Technology, School of Mechanical & Electrical Engineering, 1 Jinji Rd, Guilin, Guangxi, 541004, China

autor

Nurtas Marat

• International Information Technology University, Department of Mathematical and Computer Modelling, Kazakhstan

autor

Arynov Azamat

• School of Engineering at Warwick University, United Kingdom

Bibliografia

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Uwagi

1. This research was funded by the National Natural Science Foundation of China (grant number 51765012). Special thanks to Alex Leonidovich Kostrikov - the National Scientific Centre “Institute of Metrology”, Ukraine and Gulsim Rysbayeva - a Ph.D. student at Guilin University of Electronic Technology, China for their kind help in performing experimental part of this research and many helpful suggestions.

2. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).