Burr prediction due to flank wear in end-milling

Sothea Kruy, Hideki Aoyama

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

Abstract

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.

Original languageEnglish
Title of host publicationInternational Symposium on Flexible Automation, ISFA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages412-417
Number of pages6
ISBN (Electronic)9781509034673
DOIs
Publication statusPublished - 2016 Dec 16
EventInternational Symposium on Flexible Automation, ISFA 2016 - Cleveland, United States
Duration: 2016 Aug 12016 Aug 3

Other

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

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

Kruy, S., & Aoyama, H. (2016). Burr prediction due to flank wear in end-milling. In International Symposium on Flexible Automation, ISFA 2016 (pp. 412-417). [7790198] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISFA.2016.7790198