The study of polymer material characterisation using M-Z-N statistical analysis method

This paper proposes an implementation of alternative statistical signal analysis method in characterising material properties of polymer using impulse excitation technique (IET) in accordance with ASTM E1876 standard. Five types of cylindrical shape polymer specimens are used, namely acrylics (AC)...

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Main Authors: Muhamad Arif Fadli Ahmad,, Mohd Zaki Nuawi,, Nadia F. Mohamed,, Zaliha Wahid,, M. Dirhamsyah,
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2016
Online Access:http://journalarticle.ukm.my/10211/1/2.pdf
http://journalarticle.ukm.my/10211/
http://www.ukm.my/jkukm/?page_id=2011
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spelling my-ukm.journal.102112017-03-15T08:37:05Z http://journalarticle.ukm.my/10211/ The study of polymer material characterisation using M-Z-N statistical analysis method Muhamad Arif Fadli Ahmad, Mohd Zaki Nuawi, Nadia F. Mohamed, Zaliha Wahid, M. Dirhamsyah, This paper proposes an implementation of alternative statistical signal analysis method in characterising material properties of polymer using impulse excitation technique (IET) in accordance with ASTM E1876 standard. Five types of cylindrical shape polymer specimens are used, namely acrylics (AC), poly vinyl chloride (PVC), polyethylene (PE), cast nylon (MC), and polyoxymethylene (POM). Experimental procedure is done based on non-destructive testing (NDT) concept by tapping the specimens using an impact hammer within a specific range of impact force, while accelerometer sensor Endevco 751-100 is used to detect the vibration produced. The detected vibration and the impact force signal which is triggered by impact hammer are captured using NI 9234 data acquisition device and computer. The signal is interpreted and statistically analysed using Mesokurtosis Zonal Non-parametric (M-Z-N) analysis method. As a result, mathematical model equations for determining two material properties which are tensile strength and thermal conductivity have been successfully developed. They are derived through correlation between the signal data and M-Z-N coefficient. Verification of the equation is done and the calculated errors to be in the range of 5.55% to 9.74%. Hence, this proves that the correlation can be used as a standard for determining these material properties through M-Z-N method, which is efficient and low cost. Penerbit Universiti Kebangsaan Malaysia 2016 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/10211/1/2.pdf Muhamad Arif Fadli Ahmad, and Mohd Zaki Nuawi, and Nadia F. Mohamed, and Zaliha Wahid, and M. Dirhamsyah, (2016) The study of polymer material characterisation using M-Z-N statistical analysis method. Jurnal Kejuruteraan, 28 . pp. 9-18. ISSN 0128-0198 http://www.ukm.my/jkukm/?page_id=2011
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description This paper proposes an implementation of alternative statistical signal analysis method in characterising material properties of polymer using impulse excitation technique (IET) in accordance with ASTM E1876 standard. Five types of cylindrical shape polymer specimens are used, namely acrylics (AC), poly vinyl chloride (PVC), polyethylene (PE), cast nylon (MC), and polyoxymethylene (POM). Experimental procedure is done based on non-destructive testing (NDT) concept by tapping the specimens using an impact hammer within a specific range of impact force, while accelerometer sensor Endevco 751-100 is used to detect the vibration produced. The detected vibration and the impact force signal which is triggered by impact hammer are captured using NI 9234 data acquisition device and computer. The signal is interpreted and statistically analysed using Mesokurtosis Zonal Non-parametric (M-Z-N) analysis method. As a result, mathematical model equations for determining two material properties which are tensile strength and thermal conductivity have been successfully developed. They are derived through correlation between the signal data and M-Z-N coefficient. Verification of the equation is done and the calculated errors to be in the range of 5.55% to 9.74%. Hence, this proves that the correlation can be used as a standard for determining these material properties through M-Z-N method, which is efficient and low cost.
format Article
author Muhamad Arif Fadli Ahmad,
Mohd Zaki Nuawi,
Nadia F. Mohamed,
Zaliha Wahid,
M. Dirhamsyah,
spellingShingle Muhamad Arif Fadli Ahmad,
Mohd Zaki Nuawi,
Nadia F. Mohamed,
Zaliha Wahid,
M. Dirhamsyah,
The study of polymer material characterisation using M-Z-N statistical analysis method
author_facet Muhamad Arif Fadli Ahmad,
Mohd Zaki Nuawi,
Nadia F. Mohamed,
Zaliha Wahid,
M. Dirhamsyah,
author_sort Muhamad Arif Fadli Ahmad,
title The study of polymer material characterisation using M-Z-N statistical analysis method
title_short The study of polymer material characterisation using M-Z-N statistical analysis method
title_full The study of polymer material characterisation using M-Z-N statistical analysis method
title_fullStr The study of polymer material characterisation using M-Z-N statistical analysis method
title_full_unstemmed The study of polymer material characterisation using M-Z-N statistical analysis method
title_sort study of polymer material characterisation using m-z-n statistical analysis method
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2016
url http://journalarticle.ukm.my/10211/1/2.pdf
http://journalarticle.ukm.my/10211/
http://www.ukm.my/jkukm/?page_id=2011
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score 13.211869