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The clamping selection method to reduce the vibration of large-size workpieces during the face milling process
Abstract
The article introduces a method for selecting the best clamping conditions to obtain vibration reduction during milling of large-size workpiece. It is based on experimental modal analysis performed for a set of assumed, fixing conditions of a considered workpiece to identify Frequency Response Functions (FRFs) for each tightening torque of the mounting screws. Simulated plots of periodically changing nominal cutting forces are then calculated. Subsequently, by multiplying FRF and spectra of cutting forces, a Clamping Selection Function (CSF) is determined and, thanks to this function, vibration Root Mean Square (RMS) is calculated resulting in Clamping Selection Indicator (CSI) that indicates the best clamping of the workpiece. The method's effectiveness was evidenced by assessing the RMS value of the vibration level observed in time domain during the real-time face milling process of an large-sized exemplary item. The proposed approach may be useful for seeking the best conditions for fixing the workpiece on the table.
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Authors (5)
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Krzysztof Jemielniak prof. dr hab. inż.
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Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.24425/bpasts.2024.148840
- License
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Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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Bulletin of the Polish Academy of Sciences-Technical Sciences
no. 72,
pages 1 - 11,
ISSN: 0239-7528 - Language:
- English
- Publication year:
- 2024
- Bibliographic description:
- Kaliński K., Galewski M., Stawicka-Morawska N., Jemielniak K., Mazur M.: The clamping selection method to reduce the vibration of large-size workpieces during the face milling process// Bulletin of the Polish Academy of Sciences-Technical Sciences -Vol. 72,iss. 2 (2024), s.1-11
- DOI:
- Digital Object Identifier (open in new tab) 10.24425/bpasts.2024.148840
- Sources of funding:
-
- Statutory activity/subsidy
- Verified by:
- Gdańsk University of Technology
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