ID | 68939 |
タイトル(別表記) | Development of a guideline proposal system for correcting cutting conditions based on the overhang length of ball end-mills
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フルテキストURL | |
著者 |
児玉 紘幸
岡山大学 学術研究院環境生命自然科学学域
Kaken ID
守屋 祐輝
岡山大学 大学院環境生命自然科学研究科
盛元 達雄
岡山大学 大学院環境生命自然科学研究科
大橋 一仁
岡山大学 学術研究院環境生命自然科学学域
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抄録 | In the field of die and mold machining, determining appropriate cutting conditions is crucial. Factors such as tool geometry, machining path, work material characteristics, machining efficiency, and finishing accuracy must be taken into consideration. However, the current method of determining cutting conditions relies heavily on the intuition and experience of skilled engineers, and there is a need for a system to replace such knowledge. One of the critical factors affecting machining accuracy and efficiency is the tool overhang length, which is directly related to tool geometry. Unfortunately, there is no clear guideline for its determination. In a previous study, researchers developed a system to quickly derive cutting conditions using a data mining method and Random Forest Regression (RFR) applied to a tool catalog database. In this study, we constructed a new cutting condition compensation system based on the existing model, which accounts for the tool overhang length. The results of cutting experiments under high aspect ratio overhang lengths confirm that the correction coefficients proposed by the system are significant.
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キーワード | Data mining
Cutting conditions
Machine learning
Random Forest Regression
Ball end-mill
Tool overhang length
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発行日 | 2025
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出版物タイトル |
日本機械学会論文集
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巻 | 91巻
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号 | 946号
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出版者 | 日本機械学会
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開始ページ | 24-00128
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ISSN | 2187-9761
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資料タイプ |
学術雑誌論文
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言語 |
日本語
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OAI-PMH Set |
岡山大学
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著作権者 | © 2025 一般社団法人日本機械学会
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論文のバージョン | publisher
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DOI | |
関連URL | isVersionOf https://doi.org/10.1299/transjsme.24-00128
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ライセンス | https://creativecommons.org/licenses/by-nc-nd/4.0/deed.ja
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