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)...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2016
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| Online Access: | http://journalarticle.ukm.my/10211/ http://journalarticle.ukm.my/10211/ http://journalarticle.ukm.my/10211/1/2.pdf |
| Summary: | 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. |
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