Analysis of drill wear based on torque and force sensorless cutting power estimation

Yusuke Kasahara, Kouhei Ohnishi, Hiromasa Kawana

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

2 Citations (Scopus)

Abstract

Recent years, a dental implant surgery has been focused and has been widely prevalent. At present, the limited doctor had acquired the skill for the surgery. It is because of that the dental implant surgery has risks of an accident. Therefore, the high quality skill for the surgery is required. A dental hand-piece (dental drill) is used to make the hole which is for insertion of an artificial tooth root. The wear of drill makes the surgery more difficult and it increases the risks of accident. It is because an exact and safe operation is disturbed by wear of drill. To prevent the accidents, an monitoring technology of a cutting force and a cutting power is desired. In this paper, a cutting power estimation system is proposed. The proposed system achieves the estimation of the cutting power without a torque sensor and a force sensor. To estimate the cutting power, dynamics of two-dimensional cutting based on a cutting theory in a manufacturing industry is introduced. A measurement of cutting force is achieved by disturbance observer (DOB). In the experiment, an evaluation of the drill wear is tried as one of the applications of the proposed method.

Original languageEnglish
Title of host publicationProceedings - IECON 2010, 36th Annual Conference of the IEEE Industrial Electronics Society
Pages1465-1470
Number of pages6
DOIs
Publication statusPublished - 2010 Dec 1
Event36th Annual Conference of the IEEE Industrial Electronics Society, IECON 2010 - Glendale, AZ, United States
Duration: 2010 Nov 72010 Nov 10

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

Other

Other36th Annual Conference of the IEEE Industrial Electronics Society, IECON 2010
CountryUnited States
CityGlendale, AZ
Period10/11/710/11/10

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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