Application of Coordinate Measuring Machines for Analysis of a Controlled Radius Based on Linear Regression

• Autorzy: Magdziak Marek

Identyfikatory

DOI

10.12913/22998624/182928

• Języki publikacji: EN

Abstrakty

EN

The paper presents a new method of analysis of a controlled radius (CR). The presented method was verified based on simulations of coordinate measurements and during real measurements conducted on the selected coordinate measuring machine (CMM) – ACCURA II. In addition, the investigations were conducted by means of the Calypso metrology software and the Python programming environment. Computer simulations were performed for the selected dispersion of measurement points relating to nominal data of measured products. The actual coordinate measurements were conducted by using various measurement strategies. The created method takes into account the analysis of flattening of a considered curve, for which the measurement characteristic CR is determined. The analysis was conducted based on linear regression. The advantage of the presented method is the possibility of its implementation in software of a CMM and, consequently, the use of the above-mentioned method in industry. The new method detected flat fragments of measured objects regardless of the applied number of measurement points.

Słowa kluczowe

EN

controlled radius; coordinate measuring machine; CMM; coordinate metrology; metrology of geometrical quantitie

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2024
• Tom: Vol. 18, no 2
• Strony: 11--25
• Opis fizyczny: Bibliogr. 25 poz., fig., tab.

Twórcy

autor

Magdziak Marek

• Department of Manufacturing Techniques and Automation, Faculty of Mechanical Engineering and Aeronautics, Rzeszów University of Technology

• https://orcid.org/0000-0001-7366-3006

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).