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Chatter identification of vibration signals and surface roughness using wavelet transform and I-kaz™ statistical methods

The paper describes the method to identify chatter in low-cutting-speed operations. It is based on vibration and surface roughness measurements. Tool chatter is the self-excited relative motion between the cutting tool and work piece. Tool chatter leads to poor surface quality and tool wear. The LMS...

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Main Authors: Samin, R, Nuawi, M Z, Ariffin, MF, Rahim, SA, Haris, S M, Ghani, J A
Format: Conference or Workshop Item
Language:English
Published: IOP Publishing 2024
Online Access:http://psasir.upm.edu.my/id/eprint/107007/1/Chatter%20identification%20of%20vibration%20signals%20and%20surface%20roughness.pdf
http://psasir.upm.edu.my/id/eprint/107007/
https://iopscience.iop.org/article/10.1088/1742-6596/2721/1/012024
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spelling my.upm.eprints.1070072024-10-17T06:51:01Z http://psasir.upm.edu.my/id/eprint/107007/ Chatter identification of vibration signals and surface roughness using wavelet transform and I-kaz™ statistical methods Samin, R Nuawi, M Z Ariffin, MF Rahim, SA Haris, S M Ghani, J A The paper describes the method to identify chatter in low-cutting-speed operations. It is based on vibration and surface roughness measurements. Tool chatter is the self-excited relative motion between the cutting tool and work piece. Tool chatter leads to poor surface quality and tool wear. The LMS Scadas testing system and accelerometer were used to measure the vibration signals during the turning operation, and Marsuft Psi was used to measure the surface roughness. When various cutting parameter combinations, such as cutting speed, feed rate, and depth of cut, were employed throughout the machining process, chatter and vibrating phenomena occurred. After the recorded signals were analyzed using the wavelet transform (WT), a chatter index (CI) was produced to determine how severe the chatter was. According to the results analysis, the experimental study demonstrated the close relationship between the surface roughness values and the chatter index when evaluating chatter identification. IOP Publishing 2024-03-22 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/107007/1/Chatter%20identification%20of%20vibration%20signals%20and%20surface%20roughness.pdf Samin, R and Nuawi, M Z and Ariffin, MF and Rahim, SA and Haris, S M and Ghani, J A (2024) Chatter identification of vibration signals and surface roughness using wavelet transform and I-kaz™ statistical methods. In: 7th International Conference on Noise, Vibration and Comfort (NVC 2023), 5-7 Dec. 2023, Kuala Lumpur, Malaysia. (pp. 1-8). https://iopscience.iop.org/article/10.1088/1742-6596/2721/1/012024 10.1088/1742-6596/2721/1/012024
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The paper describes the method to identify chatter in low-cutting-speed operations. It is based on vibration and surface roughness measurements. Tool chatter is the self-excited relative motion between the cutting tool and work piece. Tool chatter leads to poor surface quality and tool wear. The LMS Scadas testing system and accelerometer were used to measure the vibration signals during the turning operation, and Marsuft Psi was used to measure the surface roughness. When various cutting parameter combinations, such as cutting speed, feed rate, and depth of cut, were employed throughout the machining process, chatter and vibrating phenomena occurred. After the recorded signals were analyzed using the wavelet transform (WT), a chatter index (CI) was produced to determine how severe the chatter was. According to the results analysis, the experimental study demonstrated the close relationship between the surface roughness values and the chatter index when evaluating chatter identification.
format Conference or Workshop Item
author Samin, R
Nuawi, M Z
Ariffin, MF
Rahim, SA
Haris, S M
Ghani, J A
spellingShingle Samin, R
Nuawi, M Z
Ariffin, MF
Rahim, SA
Haris, S M
Ghani, J A
Chatter identification of vibration signals and surface roughness using wavelet transform and I-kaz™ statistical methods
author_facet Samin, R
Nuawi, M Z
Ariffin, MF
Rahim, SA
Haris, S M
Ghani, J A
author_sort Samin, R
title Chatter identification of vibration signals and surface roughness using wavelet transform and I-kaz™ statistical methods
title_short Chatter identification of vibration signals and surface roughness using wavelet transform and I-kaz™ statistical methods
title_full Chatter identification of vibration signals and surface roughness using wavelet transform and I-kaz™ statistical methods
title_fullStr Chatter identification of vibration signals and surface roughness using wavelet transform and I-kaz™ statistical methods
title_full_unstemmed Chatter identification of vibration signals and surface roughness using wavelet transform and I-kaz™ statistical methods
title_sort chatter identification of vibration signals and surface roughness using wavelet transform and i-kaz™ statistical methods
publisher IOP Publishing
publishDate 2024
url http://psasir.upm.edu.my/id/eprint/107007/1/Chatter%20identification%20of%20vibration%20signals%20and%20surface%20roughness.pdf
http://psasir.upm.edu.my/id/eprint/107007/
https://iopscience.iop.org/article/10.1088/1742-6596/2721/1/012024
_version_ 1814054618593755136
score 13.211869

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