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ID 67752
フルテキストURL
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著者
Kodama, Hiroyuki Okayama University Kaken ID
Matsuno, Shota Okayama University
Shibata, Naoyuki Okayama University
Ohashi, Kazuhito Okayama University
抄録
 The objective of this study was to determine the effect of vibration behavior on workpiece surface properties in low-frequency vibration cutting. The effects of the parameters that determine vibration behavior on surface roughness were quantitatively evaluated through a comparison with other cutting conditions. Furthermore, by clarifying how the surface properties of the workpiece, such as roughness, roundness, and cross-sectional curves, change depending on the vibration behavior, a search for optimal conditions for low-frequency vibration cutting was conducted. The best surface properties were obtained under the condition of spindle rotation per vibration E=4.5. By using a value close to the minimum possible spindle rotation R=0.5 when the workpiece is retracted, it is expected to be effective in suppressing the variation in surface roughness at each phase angle; this variation is characteristic of low-frequency vibration cutting. Workpieces machined under low-frequency vibration conditions such as (E=2.5, R=1.0) and (E=3.5, R=1.0) were found to form characteristic surface patterns on the workpiece surface owing to a phenomenon in which the depth of the cut to the workpiece changes.
キーワード
low-frequency vibration cutting
vibration behavior
surface roughness
cross-sectional curve
発行日
2023-09-05
出版物タイトル
International Journal of Automation Technology
17巻
5号
出版者
Fuji Technology Press Ltd.
開始ページ
434
終了ページ
448
ISSN
1883-8022
資料タイプ
学術雑誌論文
言語
英語
OAI-PMH Set
岡山大学
著作権者
© Fuji Technology Press Ltd.
論文のバージョン
publisher
DOI
Web of Science KeyUT
関連URL
isVersionOf https://doi.org/10.20965/ijat.2023.p0434
ライセンス
https://creativecommons.org/licenses/by-nd/4.0/
Citation
H. Kodama, S. Matsuno, N. Shibata, and K. Ohashi, “Effect of Vibration Behavior in Low-Frequency Vibration Cutting on Surface Properties of Workpiece,” Int. J. Automation Technol., Vol.17 No.5, pp. 434-448, 2023.