Cutting Condition Decision Methodology Based on Data-Mining of Tool Catalog Data

@inproceedings{Kodama2010CuttingCD,
  title={Cutting Condition Decision Methodology Based on Data-Mining of Tool Catalog Data},
  author={Hiroyuki Kodama and Toshiki Hirogaki and Eiichi Aoyama and Keiji Ogawa},
  year={2010}
}
Data-mining methods were used to support decisions about reasonable cutting conditions. The aim of our research was to extract new knowledge by applying data-mining techniques to a tool catalog. We used both hierarchical and non-hierarchical clustering of catalog data and also used applied multiple regression analysis. We focused on the shape element of catalog data and we visually grouped end mills from the viewpoint of tool shape, which here meant the ratio of dimensions, by using the k-means… CONTINUE READING

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