Proposal of ball end-milling condition decision methodology using data-mining from tool catalog data

Hiroyuki Kodama, Toshiki Hirogaki, Eiichi Aoyama, Keiji Ogawa, Hiroaki Hukasawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Machining is often performed by a machining center using various cutting tools and 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. Data-mining methods were used 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 of catalog data and also used applied multiple regression analysis. We focused on the shape element of catalog data and we visually grouped ball end-mills from the viewpoint of tool shape, which here meant the ratio of dimensions, by using the k-means method. We also found an expression for calculating end-milling conditions, and we compared the calculated with the catalog values.

Original languageEnglish
Title of host publicationEmerging Technology in Precision Engineering XIV
PublisherTrans Tech Publications Ltd
Pages386-391
Number of pages6
ISBN (Print)9783037855096
DOIs
Publication statusPublished - Jan 1 2012
Event14th International Conference on Precision Engineering, ICPE 2012 - Hyogo, Japan
Duration: Nov 8 2012Nov 10 2012

Publication series

NameKey Engineering Materials
Volume523-524
ISSN (Print)1013-9826
ISSN (Electronic)1662-9795

Other

Other14th International Conference on Precision Engineering, ICPE 2012
CountryJapan
CityHyogo
Period11/8/1211/10/12

Keywords

  • Ball end-mill
  • Data-mining
  • End-milling condition
  • Hierarchical and non-hierarchical clustering method
  • Response surface method

ASJC Scopus subject areas

  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering

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  • Cite this

    Kodama, H., Hirogaki, T., Aoyama, E., Ogawa, K., & Hukasawa, H. (2012). Proposal of ball end-milling condition decision methodology using data-mining from tool catalog data. In Emerging Technology in Precision Engineering XIV (pp. 386-391). (Key Engineering Materials; Vol. 523-524). Trans Tech Publications Ltd. https://doi.org/10.4028/www.scientific.net/KEM.523-524.386