Burr prediction due to flank wear in end-milling

Sothea Kruy, Hideki Aoyama

研究成果: Conference contribution

抄録

A new model to predict burr formation due to tool wear of a cutting tool in end-milling is proposed. The model shows that the burr sizes vary according to flank wear of a cutting tool. A system was developed to simulate burr to be formed at each edge point on machined surfaces based on flank wear of a cutting tool and cutting conditions by using the proposed model. In addition, the experimental works of steel with a 0.45% carbon and aluminum alloy AlMg0.5Si with solid carbide tools was executed to investigate the relationship between burr size and tool flank wear, and comparison between experimental results and predicted results was discussed. The comparison results showed that the proposed model could help to predict burr size under the effect of tool flank wear with high accuracy.

本文言語English
ホスト出版物のタイトルInternational Symposium on Flexible Automation, ISFA 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ412-417
ページ数6
ISBN(電子版)9781509034673
DOI
出版ステータスPublished - 2016 12 16
イベントInternational Symposium on Flexible Automation, ISFA 2016 - Cleveland, United States
継続期間: 2016 8 12016 8 3

Other

OtherInternational Symposium on Flexible Automation, ISFA 2016
CountryUnited States
CityCleveland
Period16/8/116/8/3

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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