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A method of predicting the best conditions for large-size workpiece clamping to reduce vibration in the face milling process
The paper presents an innovative method of solving the problem of vibration suppression during milling of large-size details. It consists in searching for the best conditions for clamping the workpiece based on a rapid modal identification of the dominant natural frequencies only and requires repeti...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531332/ https://www.ncbi.nlm.nih.gov/pubmed/34675222 http://dx.doi.org/10.1038/s41598-021-00128-6 |
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author | Kaliński, Krzysztof J. Stawicka-Morawska, Natalia Galewski, Marek A. Mazur, Michał R. |
author_facet | Kaliński, Krzysztof J. Stawicka-Morawska, Natalia Galewski, Marek A. Mazur, Michał R. |
author_sort | Kaliński, Krzysztof J. |
collection | PubMed |
description | The paper presents an innovative method of solving the problem of vibration suppression during milling of large-size details. It consists in searching for the best conditions for clamping the workpiece based on a rapid modal identification of the dominant natural frequencies only and requires repetitive changes in the tightening torque of the clamping screws. Then, by estimating the minimum work of the cutting forces acting in the direction of the width of the cutting layer, it is possible to predict the best fixing of the workpiece. Application of the method does not require the creation and identification of a computational model of the process or preliminary numerical simulations. The effectiveness of this method was confirmed by the evaluation of the Root Mean Square (RMS) of the vibration level in the time domain observed during the actual face milling process. The worst results were obtained for the configuration of supports tightened with a torque of 90–110 Nm, and the best—with a torque of 50 Nm. |
format | Online Article Text |
id | pubmed-8531332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85313322021-10-22 A method of predicting the best conditions for large-size workpiece clamping to reduce vibration in the face milling process Kaliński, Krzysztof J. Stawicka-Morawska, Natalia Galewski, Marek A. Mazur, Michał R. Sci Rep Article The paper presents an innovative method of solving the problem of vibration suppression during milling of large-size details. It consists in searching for the best conditions for clamping the workpiece based on a rapid modal identification of the dominant natural frequencies only and requires repetitive changes in the tightening torque of the clamping screws. Then, by estimating the minimum work of the cutting forces acting in the direction of the width of the cutting layer, it is possible to predict the best fixing of the workpiece. Application of the method does not require the creation and identification of a computational model of the process or preliminary numerical simulations. The effectiveness of this method was confirmed by the evaluation of the Root Mean Square (RMS) of the vibration level in the time domain observed during the actual face milling process. The worst results were obtained for the configuration of supports tightened with a torque of 90–110 Nm, and the best—with a torque of 50 Nm. Nature Publishing Group UK 2021-10-21 /pmc/articles/PMC8531332/ /pubmed/34675222 http://dx.doi.org/10.1038/s41598-021-00128-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kaliński, Krzysztof J. Stawicka-Morawska, Natalia Galewski, Marek A. Mazur, Michał R. A method of predicting the best conditions for large-size workpiece clamping to reduce vibration in the face milling process |
title | A method of predicting the best conditions for large-size workpiece clamping to reduce vibration in the face milling process |
title_full | A method of predicting the best conditions for large-size workpiece clamping to reduce vibration in the face milling process |
title_fullStr | A method of predicting the best conditions for large-size workpiece clamping to reduce vibration in the face milling process |
title_full_unstemmed | A method of predicting the best conditions for large-size workpiece clamping to reduce vibration in the face milling process |
title_short | A method of predicting the best conditions for large-size workpiece clamping to reduce vibration in the face milling process |
title_sort | method of predicting the best conditions for large-size workpiece clamping to reduce vibration in the face milling process |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531332/ https://www.ncbi.nlm.nih.gov/pubmed/34675222 http://dx.doi.org/10.1038/s41598-021-00128-6 |
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