Development of tool wear machining monitoring using novel statistical analysis method, I-kaz™

M. A F Ahmad, Mohd. Zaki Nuawi, Shahrum Abdullah, Zaliha Wahid, Z. Karim, M. Dirhamsyah

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

14 Citations (Scopus)

Abstract

The development of tool wear conditioning monitoring method is proposed by applying ceramic piezoelectric sensor mounted on the tool holder in turning machine to monitor vibration signals due to the flank wear progression. Signals captured by the sensor are statistically analysed using Integrated Kurtosis-based Algorithm for Z-notch filter (I-kaz™) technique. This technique produces a 3D graphic form that is quantified by coefficient of I-kaz (Z ), representing the degree of scattering of data distribution. The result indicates that I-kaz 3D graphic is experiencing contractionary, while Z values are getting smaller as the flank wear and cutting speed increases.

Original languageEnglish
Title of host publicationProcedia Engineering
PublisherElsevier Ltd
Pages355-362
Number of pages8
Volume101
EditionC
DOIs
Publication statusPublished - 2015
EventInternational Conference on Material and Component Performance under Variable Amplitude Loading, VAL 2015 - Prague 4, Czech Republic
Duration: 23 Mar 201526 Mar 2015

Other

OtherInternational Conference on Material and Component Performance under Variable Amplitude Loading, VAL 2015
CountryCzech Republic
CityPrague 4
Period23/3/1526/3/15

Fingerprint

Notch filters
Statistical methods
Machining
Wear of materials
Monitoring
Piezoelectric ceramics
Sensors
Scattering

Keywords

  • Flank wear
  • I-kaz
  • Piezoelectric sensor
  • Statistical analysis
  • Tool wear monitoring
  • Turning

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Ahmad, M. A. F., Nuawi, M. Z., Abdullah, S., Wahid, Z., Karim, Z., & Dirhamsyah, M. (2015). Development of tool wear machining monitoring using novel statistical analysis method, I-kaz™. In Procedia Engineering (C ed., Vol. 101, pp. 355-362). Elsevier Ltd. https://doi.org/10.1016/j.proeng.2015.02.043

Development of tool wear machining monitoring using novel statistical analysis method, I-kaz™. / Ahmad, M. A F; Nuawi, Mohd. Zaki; Abdullah, Shahrum; Wahid, Zaliha; Karim, Z.; Dirhamsyah, M.

Procedia Engineering. Vol. 101 C. ed. Elsevier Ltd, 2015. p. 355-362.

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

Ahmad, MAF, Nuawi, MZ, Abdullah, S, Wahid, Z, Karim, Z & Dirhamsyah, M 2015, Development of tool wear machining monitoring using novel statistical analysis method, I-kaz™. in Procedia Engineering. C edn, vol. 101, Elsevier Ltd, pp. 355-362, International Conference on Material and Component Performance under Variable Amplitude Loading, VAL 2015, Prague 4, Czech Republic, 23/3/15. https://doi.org/10.1016/j.proeng.2015.02.043
Ahmad, M. A F ; Nuawi, Mohd. Zaki ; Abdullah, Shahrum ; Wahid, Zaliha ; Karim, Z. ; Dirhamsyah, M. / Development of tool wear machining monitoring using novel statistical analysis method, I-kaz™. Procedia Engineering. Vol. 101 C. ed. Elsevier Ltd, 2015. pp. 355-362
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