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/ http://journalarticle.ukm.my/10211/ http://journalarticle.ukm.my/10211/1/2.pdf

id	ukm-10211
recordtype	eprints
spelling	ukm-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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
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/ http://journalarticle.ukm.my/10211/ http://journalarticle.ukm.my/10211/1/2.pdf
first_indexed	2023-09-18T19:56:48Z
last_indexed	2023-09-18T19:56:48Z
_version_	1777406583483924480

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

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