Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21
Online ISSN : 2424-3086
ISSN-L : 2424-3086
セッションID: 3315
会議情報
3315 Effects on Proposed End-milling Condition Decision-Support System Using Data Mining on Saving Power Consumption
Hiroyuki KODAMAToshiki HIROGAKIEiichi AOYAMAKeiji OGAWAJunichi SAKAMOTO
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会議録・要旨集 フリー

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Choosing cutting tools and conditions depends on expert engineers' knowledge and experience, and often a lengthy process of trial and error is required before they obtain appropriate end-milling conditions. We have previously proposed data mining methods to make decisions about end-milling conditions on the basis of catalog data. We cut hardened die steel JIS SKD61 under three kinds of end-milling conditions: catalog conditions, mined conditions, expert engineer conditions. We used LCA to quantitatively evaluate the environmental impact resulting from these conditions. Results showed that the mined condition is environmentally superior to the catalog conditions.
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© 2011 一般社団法人 日本機械学会
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