Cutting tool wear prediction using novel pie-zofilm-based vibratory signal analysis (Z-rot)

Nur Adilla Kasim, Mohd. Zaki Nuawi, Jaharah A Ghani, Che Hassan Che Haron, Muhammad Rizal, Mohd Ghafran Mohamed

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

Abstract

Early intervention to change worn cutting tool before its failure could avoid unexpected machine downtime. A mathematical based predictive model is employed to estimate early tool failure using vibratory signal. The statistical-based signal analysis technique as wear tracking analysis is applied in the predictive model to outline the data pattern concerning wear and number of cutting. The signal analysis based on the changes in the vibration signatures that captured from accelerometer during the milling operation throughout the tool life. A significant correlation between the tool flank wear and the statistical index has achieved. The tool life as a function of the acceleration amplitude of assimilated vibrations. Selected curve fitting equations are considered to decide the transition point between the steady state and failure region. The result shows a significant expectation of determining the second transition point. The accuracy, reliability and robustness of the predicted transition point were then parallel against another sensing elements where it predicts almost the same transition point. The determination of the second transition point will assist the preparation to anticipate the tool to be broken. The results reflected that the model gives reasonable estimation of tool life and the transition points at which changes of the region transpire.

Original languageEnglish
Title of host publication25th International Congress on Sound and Vibration 2018, ICSV 2018
Subtitle of host publicationHiroshima Calling
PublisherInternational Institute of Acoustics and Vibration, IIAV
Pages2868-2875
Number of pages8
Volume5
ISBN (Electronic)9781510868458
Publication statusPublished - 1 Jan 2018
Event25th International Congress on Sound and Vibration 2018: Hiroshima Calling, ICSV 2018 - Hiroshima, Japan
Duration: 8 Jul 201812 Jul 2018

Other

Other25th International Congress on Sound and Vibration 2018: Hiroshima Calling, ICSV 2018
CountryJapan
CityHiroshima
Period8/7/1812/7/18

Fingerprint

signal analysis
transition points
predictions
vibration
downtime
curve fitting
accelerometers
signatures
preparation
estimates

Keywords

  • Cutting tool wear
  • I-kaztm
  • Piezofilm-Based sensor
  • Signal analysis
  • Z-rot

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Cite this

Kasim, N. A., Nuawi, M. Z., A Ghani, J., Che Haron, C. H., Rizal, M., & Mohamed, M. G. (2018). Cutting tool wear prediction using novel pie-zofilm-based vibratory signal analysis (Z-rot). In 25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling (Vol. 5, pp. 2868-2875). International Institute of Acoustics and Vibration, IIAV.

Cutting tool wear prediction using novel pie-zofilm-based vibratory signal analysis (Z-rot). / Kasim, Nur Adilla; Nuawi, Mohd. Zaki; A Ghani, Jaharah; Che Haron, Che Hassan; Rizal, Muhammad; Mohamed, Mohd Ghafran.

25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling. Vol. 5 International Institute of Acoustics and Vibration, IIAV, 2018. p. 2868-2875.

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

Kasim, NA, Nuawi, MZ, A Ghani, J, Che Haron, CH, Rizal, M & Mohamed, MG 2018, Cutting tool wear prediction using novel pie-zofilm-based vibratory signal analysis (Z-rot). in 25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling. vol. 5, International Institute of Acoustics and Vibration, IIAV, pp. 2868-2875, 25th International Congress on Sound and Vibration 2018: Hiroshima Calling, ICSV 2018, Hiroshima, Japan, 8/7/18.
Kasim NA, Nuawi MZ, A Ghani J, Che Haron CH, Rizal M, Mohamed MG. Cutting tool wear prediction using novel pie-zofilm-based vibratory signal analysis (Z-rot). In 25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling. Vol. 5. International Institute of Acoustics and Vibration, IIAV. 2018. p. 2868-2875
Kasim, Nur Adilla ; Nuawi, Mohd. Zaki ; A Ghani, Jaharah ; Che Haron, Che Hassan ; Rizal, Muhammad ; Mohamed, Mohd Ghafran. / Cutting tool wear prediction using novel pie-zofilm-based vibratory signal analysis (Z-rot). 25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling. Vol. 5 International Institute of Acoustics and Vibration, IIAV, 2018. pp. 2868-2875
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AU - Rizal, Muhammad

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