I-kaz™-based analysis of cutting force signals for tool condition monitoring in turning process

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

1 Citation (Scopus)

Abstract

Cutting force is an important signal in machining process and has been widely used for tool condition monitoring. Monitoring the condition of the cutting tool in the machining process is very important to maintain the machined surface quality and consequently reduce inspection costs and increase productivity. This paper utilizes I-kaz-based analysis of cutting force signal to monitor the status of tool wear. The cutting force signals are measured by two channels of strain gauge that were mounted on the surface of tool holder. Experiments were carried out by turning hardened carbon steel and cutting force signals were analyzed using I-kaz™ technique by integrating two component of signals (I-kaz 2D, Z2 ), I-kaz of cutting force (Z of Fy), and I-kaz of feed force (Z of Fx). The results show that I-kaz of feed force can be effectively used to monitor tool wear progression during turning operation.

Original languageEnglish
Title of host publicationApplied Mechanics and Materials
Pages203-207
Number of pages5
Volume471
DOIs
Publication statusPublished - 2014
Event4th International Conference on Noise, Vibration and Comfort, NVC 2012 - Kuala Lumpur
Duration: 26 Nov 201228 Nov 2012

Publication series

NameApplied Mechanics and Materials
Volume471
ISSN (Print)16609336
ISSN (Electronic)16627482

Other

Other4th International Conference on Noise, Vibration and Comfort, NVC 2012
CityKuala Lumpur
Period26/11/1228/11/12

Fingerprint

Condition monitoring
Machining
Wear of materials
Cutting tools
Strain gages
Carbon steel
Surface properties
Inspection
Productivity
Monitoring
Costs
Experiments

Keywords

  • Cutting force
  • I-kaz™ method
  • Low-cost sensor
  • Tool condition monitoring

ASJC Scopus subject areas

  • Engineering(all)

Cite this

I-kaz™-based analysis of cutting force signals for tool condition monitoring in turning process. / Rizal, Muhammad; A Ghani, Jaharah; Nuawi, Mohd. Zaki; Che Haron, Che Hassan.

Applied Mechanics and Materials. Vol. 471 2014. p. 203-207 (Applied Mechanics and Materials; Vol. 471).

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

Rizal, M, A Ghani, J, Nuawi, MZ & Che Haron, CH 2014, I-kaz™-based analysis of cutting force signals for tool condition monitoring in turning process. in Applied Mechanics and Materials. vol. 471, Applied Mechanics and Materials, vol. 471, pp. 203-207, 4th International Conference on Noise, Vibration and Comfort, NVC 2012, Kuala Lumpur, 26/11/12. https://doi.org/10.4028/www.scientific.net/AMM.471.203
Rizal, Muhammad ; A Ghani, Jaharah ; Nuawi, Mohd. Zaki ; Che Haron, Che Hassan. / I-kaz™-based analysis of cutting force signals for tool condition monitoring in turning process. Applied Mechanics and Materials. Vol. 471 2014. pp. 203-207 (Applied Mechanics and Materials).
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