書誌事項
- タイトル別名
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- Proposal of Ball End-milling Condition Decision Methodology Using Data-mining from Tool Catalog Data
- コウグ カタログデータ ニ データマイニング オ テキヨウ シタ ボールエンドミル セッサク ジョウケン ケッテイ シエン シュホウ ノ テイアン
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抄録
Machining is often performed by a machining center using various cutting tools and end-milling conditions for different shapes and materials. Recent improvements in CAM system make it easier for even unskilled engineers to generate NC programs. In the NC program, the end-milling conditions are decided by engineers. However, engineers need to decide the order of the process, cutting tool selection, and the end-milling conditions on the basis of their expertise and background knowledge because the CAM system cannot automatically decide them. Data-mining methods were attracted attention to support decisions about end-milling conditions. Our aim was to extract new knowledge by applying data-mining techniques to a tool catalog. We used both hierarchical and non-hierarchical clustering methods and also principal component regression. We focused on the shape element of catalog data and we visually clustered ball end-mills from the viewpoint of tool shape, which here meant the ratio of dimensions, by using the k-means method. Expressions for calculating end-milling conditions were derived from response surface method. We conducted end-milling experiments to validate the availability of calculated values.
収録刊行物
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- 精密工学会誌
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精密工学会誌 79 (10), 964-969, 2013
公益社団法人 精密工学会
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詳細情報 詳細情報について
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- CRID
- 1390001204828182912
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- NII論文ID
- 130003384915
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- NII書誌ID
- AN1003250X
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- ISSN
- 1882675X
- 09120289
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- NDL書誌ID
- 024937189
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可