Diagnosis of tool wear with a microcontroller

Erkki Jantunen, Eero Vaajoensuu

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Tool wear monitoring is very important for economical reasons. In this paper a very economical solution is presented. The idea is to use easily available microcontroller based hardware, which is very cheap due to mass production. The cheap hardware is combined together with sophisticated software. The use of regression analysis techniques together with fuzzy logic in order to overcome the challenges in tool wear monitoring forms the basis of the developed approach. The proposed approach is tested with data from drilling tests.

Original languageEnglish
Pages (from-to)15-20
JournalIFAC Proceedings Volumes
Volume39
Issue number3
DOIs
Publication statusPublished - 1 Dec 2006
MoE publication typeA1 Journal article-refereed
Event12th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2006, and Associated Industrial Meetings: EMM'2006, BPM'2006, JT'2006 - Saint - Etienne, France
Duration: 17 May 200619 May 2006

Fingerprint

Microcontrollers
Wear of materials
Hardware
Monitoring
Regression analysis
Fuzzy logic
Drilling

Keywords

  • Fuzzy logic
  • Microprocessor
  • Monitoring
  • Regression analysis
  • Signal analysis

Cite this

Jantunen, Erkki ; Vaajoensuu, Eero. / Diagnosis of tool wear with a microcontroller. In: IFAC Proceedings Volumes. 2006 ; Vol. 39, No. 3. pp. 15-20.
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Diagnosis of tool wear with a microcontroller. / Jantunen, Erkki; Vaajoensuu, Eero.

In: IFAC Proceedings Volumes, Vol. 39, No. 3, 01.12.2006, p. 15-20.

Research output: Contribution to journalArticleScientificpeer-review

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