Dynamic Analysis of the Starting and Braking of the Table of CNC Machine Tool

• Autorzy: Józwik Jerzy , Zawada-Michałowska Magdalena , Moń Damian

Identyfikatory

DOI

10.12913/22998624/147757

• Języki publikacji: EN

Abstrakty

EN

The aim of the paper is a dynamic analysis of the starting and braking of the table of a numerically controlled CNC machine tool during idle motion. The experimental test was performed on the vertical table of the FV580A machining centre using the Phantom v1610 high-speed vision camera. The dynamics characteristics of the table movement were registered and the dynamics estimates of the movement were determined. The influence estimation of the parameters of the machine tool table motion on the value of the determined estimates was made. The results of measurements were discussed and guidelines and in order to minimise disturbances were formulated. The test results were summarised and discussed in the form of charts and tables. The directions of further research in the discussed subject area were also defined

Słowa kluczowe

EN

dynamics analysis; vision systems; CNC machine tool; feed rate; CNC machine tools accuracy; CNC machine table

• 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: 2022
• Tom: Vol. 16, no 3
• Strony: 34--46
• Opis fizyczny: Bibliogr. 26 poz., fig., tab.

Twórcy

autor

Józwik Jerzy

• Department of Production Engineering, Faculty of Mechanical Engineering, Lublin University of Technology, ul. Nadbystrzycka 36, 20–618 Lublin, Poland

• https://orcid.org/0000-0002-8845-0764

autor

Zawada-Michałowska Magdalena

• Department of Production Engineering, Faculty of Mechanical Engineering, Lublin University of Technology, ul. Nadbystrzycka 36, 20–618 Lublin, Poland

• https://orcid.org/0000-0003-3330-6340

autor

Moń Damian

• Department of Production Engineering, Faculty of Mechanical Engineering, Lublin University of Technology, ul. Nadbystrzycka 36, 20–618 Lublin, Poland

• https://orcid.org/0000-0002-0254-6205

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).