Abstract
Data-mining methods were applied to support decisions about reasonable micro end-mill cutting conditions (cutting speed, feed rate, axial depth of cut and radius depth of cut). The aim of this research was to excavate new knowledge with the mining effect by applying the data mining process of hierarchical and non-hierarchical clustering methods to micro end-mill tool catalogs. Micro end-mill shape element of catalog data were focused on visually grouped end-mills, which meant the ratio of tool shape dimensions. With these process, principal component analysis was used to quantify the correlation degree between cutting conditions and tool shape parameters. End-milling condition decision equations were derived from response surface method using significant predictor variables consisting of tool shape parameters and workpiece mechanical properties. The catalog-mining system appeared to be effective for mining knowledge hidden in a large amount of catalog data related to tool shape and end-milling conditions. Therefore, it appears to be straightforward for unskilled engineers to visually determine micro end-milling conditions from the tool shape. Moreover, short-delivery manufacturing with less waste may be possible.
Original language | English |
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Title of host publication | Proceedings of the 16th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2016 |
Publisher | euspen |
ISBN (Electronic) | 9780956679086 |
Publication status | Published - 2016 |
Externally published | Yes |
Event | 16th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2016 - Nottingham, United Kingdom Duration: May 30 2016 → Jun 3 2016 |
Other
Other | 16th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2016 |
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Country/Territory | United Kingdom |
City | Nottingham |
Period | 5/30/16 → 6/3/16 |
Keywords
- Data-mining
- Hierarchical and non- hierarchical clustering
- Micro end-mill
- Tool catalog data
ASJC Scopus subject areas
- Materials Science(all)
- Environmental Engineering
- Mechanical Engineering
- Industrial and Manufacturing Engineering
- Instrumentation