Statistical analysis for detection cutting tool wear based on regression model

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

19 Citations (Scopus)

Abstract

This study presents a new method for detecting the cutting tool wear based on the measured cutting force signals. A statistical-based method called Integrated Kurtosis-based Algorithm for Z-Filter Technique, I-kaz was used for developed regression model and 3D graphic presentation of I-kaz 3D coefficient during machining process. The machining tests were carried out on a CNC turning machine Colchester Master Tornado T4 in dry cutting condition, and Kistler 9255B dynamometer was used to measure the cutting force signals, which then stored and displayed in the DasyLab software. A number of force signals from machining was analyzed and each has a characteristic value called I-kaz 3D coefficient. These coefficients have relationship with flank wear land (VB). Results of regression model shows the I-kaz 3D coefficient value decreases when the tool wear increases. This result can be used for real time tool wear monitoring.

Original languageEnglish
Title of host publicationProceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010
Pages1784-1788
Number of pages5
Publication statusPublished - 2010
EventInternational MultiConference of Engineers and Computer Scientists 2010, IMECS 2010 - Kowloon
Duration: 17 Mar 201019 Mar 2010

Other

OtherInternational MultiConference of Engineers and Computer Scientists 2010, IMECS 2010
CityKowloon
Period17/3/1019/3/10

Fingerprint

Cutting tools
Statistical methods
Wear of materials
Machining
Tornadoes
Dynamometers
Monitoring

Keywords

  • I-kaz method
  • Statistical analysis
  • Tool wear detectio

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Cite this

A Ghani, J., Rizal, M., Nuawi, M. Z., Che Haron, C. H., & Ramli, R. (2010). Statistical analysis for detection cutting tool wear based on regression model. In Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010 (pp. 1784-1788)

Statistical analysis for detection cutting tool wear based on regression model. / A Ghani, Jaharah; Rizal, Muhammad; Nuawi, Mohd. Zaki; Che Haron, Che Hassan; Ramli, Rizauddin.

Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010. 2010. p. 1784-1788.

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

A Ghani, J, Rizal, M, Nuawi, MZ, Che Haron, CH & Ramli, R 2010, Statistical analysis for detection cutting tool wear based on regression model. in Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010. pp. 1784-1788, International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010, Kowloon, 17/3/10.
A Ghani J, Rizal M, Nuawi MZ, Che Haron CH, Ramli R. Statistical analysis for detection cutting tool wear based on regression model. In Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010. 2010. p. 1784-1788
A Ghani, Jaharah ; Rizal, Muhammad ; Nuawi, Mohd. Zaki ; Che Haron, Che Hassan ; Ramli, Rizauddin. / Statistical analysis for detection cutting tool wear based on regression model. Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010. 2010. pp. 1784-1788
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