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Development of Machining Condition Monitoring System Using Piezoelectric Sensor Analyzed by I-Kaz Multilevel Method

Cutting tool wear is found to be the major cause affecting the finished product in term of surface finish quality, dimensional precision and the cost of the defect. This paper proposes the development of a reliable machine condition monitoring system by using a low-cost piezoelectric sensor to mon...

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Main Authors: Zailan Abdul Karim, M.Z. Nuaw, J.A. Ghan, E.A. Azrulhisham, S. Abdullah
Format:
Published: IDOSI Publication 2014
Subjects:
I-kaz
Condition monitoring
I-kaz Multilevel
Flank wear
Signal processing
Online Access:http://idosi.org/wasj/wasj21%282%2913/17.pdf
http://localhost/xmlui/handle/123456789/7374
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record_format eprints
spelling my.unikl.ir-73742014-07-23T02:22:16Z Development of Machining Condition Monitoring System Using Piezoelectric Sensor Analyzed by I-Kaz Multilevel Method Zailan Abdul Karim M.Z. Nuaw J.A. Ghan E.A. Azrulhisham S. Abdullah I-kaz Condition monitoring I-kaz Multilevel Flank wear Signal processing Cutting tool wear is found to be the major cause affecting the finished product in term of surface finish quality, dimensional precision and the cost of the defect. This paper proposes the development of a reliable machine condition monitoring system by using a low-cost piezoelectric sensor to monitor the flank wear progression on the cutting tool. The wear of the cutting insert was measured and recorded using Mitutoyo microscope under different operational conditions in turning process. A single channel piezoelectric sensor was mounted at the tool holder to measure the deflection on the cutting tool in the tangential direction during the machining process. The signal was transmitted to the piezoelectric amplifier device, then to data acquisition and finally to the computer system. I-kaz Multilevel method was used to identify and characterize the changes in the signals from the sensor. Under different experimental set up, new tool wear models were successfully formulated. Good agreements between the predicted and measured tool flank wear land width show that the developed machine condition monitoring system can accurately predict tool flank wear. This monitoring system is an efficient and low-cost method for flank wear level prediction which can be used in the real machining industry. 2014-07-23T02:22:16Z 2014-07-23T02:22:16Z 2013 Z. Karim, E.A. Azrulhisham, M.Z. Nuawi, J.A. Ghani, S. Abdullah. Development of Machining Condition Monitoring using Piezoelectric Sensor Analyzed by I-KAZ Multilevel Method. World Applied Science Journal, 21(2): 264-268, 2012 1818-4952 http://idosi.org/wasj/wasj21%282%2913/17.pdf http://localhost/xmlui/handle/123456789/7374 World Applied Sciences Journal; IDOSI Publication
institution Universiti Kuala Lumpur
building UniKL Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kuala Lumpur
content_source UniKL Institutional Repository
url_provider http://ir.unikl.edu.my/
topic I-kaz
Condition monitoring
I-kaz Multilevel
Flank wear
Signal processing
spellingShingle I-kaz
Condition monitoring
I-kaz Multilevel
Flank wear
Signal processing
Zailan Abdul Karim
M.Z. Nuaw
J.A. Ghan
E.A. Azrulhisham
S. Abdullah
Development of Machining Condition Monitoring System Using Piezoelectric Sensor Analyzed by I-Kaz Multilevel Method
description Cutting tool wear is found to be the major cause affecting the finished product in term of surface finish quality, dimensional precision and the cost of the defect. This paper proposes the development of a reliable machine condition monitoring system by using a low-cost piezoelectric sensor to monitor the flank wear progression on the cutting tool. The wear of the cutting insert was measured and recorded using Mitutoyo microscope under different operational conditions in turning process. A single channel piezoelectric sensor was mounted at the tool holder to measure the deflection on the cutting tool in the tangential direction during the machining process. The signal was transmitted to the piezoelectric amplifier device, then to data acquisition and finally to the computer system. I-kaz Multilevel method was used to identify and characterize the changes in the signals from the sensor. Under different experimental set up, new tool wear models were successfully formulated. Good agreements between the predicted and measured tool flank wear land width show that the developed machine condition monitoring system can accurately predict tool flank wear. This monitoring system is an efficient and low-cost method for flank wear level prediction which can be used in the real machining industry.
format
author Zailan Abdul Karim
M.Z. Nuaw
J.A. Ghan
E.A. Azrulhisham
S. Abdullah
author_facet Zailan Abdul Karim
M.Z. Nuaw
J.A. Ghan
E.A. Azrulhisham
S. Abdullah
author_sort Zailan Abdul Karim
title Development of Machining Condition Monitoring System Using Piezoelectric Sensor Analyzed by I-Kaz Multilevel Method
title_short Development of Machining Condition Monitoring System Using Piezoelectric Sensor Analyzed by I-Kaz Multilevel Method
title_full Development of Machining Condition Monitoring System Using Piezoelectric Sensor Analyzed by I-Kaz Multilevel Method
title_fullStr Development of Machining Condition Monitoring System Using Piezoelectric Sensor Analyzed by I-Kaz Multilevel Method
title_full_unstemmed Development of Machining Condition Monitoring System Using Piezoelectric Sensor Analyzed by I-Kaz Multilevel Method
title_sort development of machining condition monitoring system using piezoelectric sensor analyzed by i-kaz multilevel method
publisher IDOSI Publication
publishDate 2014
url http://idosi.org/wasj/wasj21%282%2913/17.pdf
http://localhost/xmlui/handle/123456789/7374
_version_ 1644484924854501376
score 13.211869

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