Mechanisms of cage noise generation in machine tool bearings
Cage instability in ball bearings can lead to torque fluctuations and significant noise. In machine tool spindles, which require high rotational precision, outer ring-guided cages are often preferred over common ball-guided cages. While outer ring-guided cages suppress instability modes caused by sl...
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Frontiers Media S.A.
2025-01-01
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Series: | Frontiers in Mechanical Engineering |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fmech.2024.1469546/full |
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author | Kazuho Takeshima Keisuke Mutoh Kenji Imanishi Shunichi Oshima |
author_facet | Kazuho Takeshima Keisuke Mutoh Kenji Imanishi Shunichi Oshima |
author_sort | Kazuho Takeshima |
collection | DOAJ |
description | Cage instability in ball bearings can lead to torque fluctuations and significant noise. In machine tool spindles, which require high rotational precision, outer ring-guided cages are often preferred over common ball-guided cages. While outer ring-guided cages suppress instability modes caused by sliding friction between the cage and balls, increased interaction between the cage and outer ring can introduce other instability modes, leading to noise. Despite the critical implications of these findings, prior research into this specific type of cage instability, incorporating both experimental and analytical perspectives, remains limited. Therefore, in this study, we utilized a high-speed camera system to conduct visualization tests on cage behavior in grease-lubricated angular contact ball bearings used in machine tools. Through detailed image-processing of the results, we identified specific behaviors associated with cage noise. To facilitate the optimal design of the cage to stabilize these behaviors, we developed a dynamic analysis model focusing on the friction between the cage and the outer ring under grease lubrication, considering fluid pressure effects. The validity of this model was confirmed through experiments at various rotational speeds. This analytical model enabled us to elucidate the underlying mechanisms driving cage instability. The insights gained from this research are expected to significantly enhance the fundamental understanding of cage design principles aimed at eliminating cage noise. |
format | Article |
id | doaj-art-f1f8f5b5732e426ab842eb577ce917f4 |
institution | Kabale University |
issn | 2297-3079 |
language | English |
publishDate | 2025-01-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Mechanical Engineering |
spelling | doaj-art-f1f8f5b5732e426ab842eb577ce917f42025-01-21T11:15:22ZengFrontiers Media S.A.Frontiers in Mechanical Engineering2297-30792025-01-011010.3389/fmech.2024.14695461469546Mechanisms of cage noise generation in machine tool bearingsKazuho TakeshimaKeisuke MutohKenji ImanishiShunichi OshimaCage instability in ball bearings can lead to torque fluctuations and significant noise. In machine tool spindles, which require high rotational precision, outer ring-guided cages are often preferred over common ball-guided cages. While outer ring-guided cages suppress instability modes caused by sliding friction between the cage and balls, increased interaction between the cage and outer ring can introduce other instability modes, leading to noise. Despite the critical implications of these findings, prior research into this specific type of cage instability, incorporating both experimental and analytical perspectives, remains limited. Therefore, in this study, we utilized a high-speed camera system to conduct visualization tests on cage behavior in grease-lubricated angular contact ball bearings used in machine tools. Through detailed image-processing of the results, we identified specific behaviors associated with cage noise. To facilitate the optimal design of the cage to stabilize these behaviors, we developed a dynamic analysis model focusing on the friction between the cage and the outer ring under grease lubrication, considering fluid pressure effects. The validity of this model was confirmed through experiments at various rotational speeds. This analytical model enabled us to elucidate the underlying mechanisms driving cage instability. The insights gained from this research are expected to significantly enhance the fundamental understanding of cage design principles aimed at eliminating cage noise.https://www.frontiersin.org/articles/10.3389/fmech.2024.1469546/fullcage instabilitycage noisevisualizationhigh-speed camera systemdynamic analysisball bearing |
spellingShingle | Kazuho Takeshima Keisuke Mutoh Kenji Imanishi Shunichi Oshima Mechanisms of cage noise generation in machine tool bearings Frontiers in Mechanical Engineering cage instability cage noise visualization high-speed camera system dynamic analysis ball bearing |
title | Mechanisms of cage noise generation in machine tool bearings |
title_full | Mechanisms of cage noise generation in machine tool bearings |
title_fullStr | Mechanisms of cage noise generation in machine tool bearings |
title_full_unstemmed | Mechanisms of cage noise generation in machine tool bearings |
title_short | Mechanisms of cage noise generation in machine tool bearings |
title_sort | mechanisms of cage noise generation in machine tool bearings |
topic | cage instability cage noise visualization high-speed camera system dynamic analysis ball bearing |
url | https://www.frontiersin.org/articles/10.3389/fmech.2024.1469546/full |
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