@Article{JPM.2023.40.3-4.7,
AUTHOR = {K. KRISHNAMOORTHY, N. PRABHU},
TITLE = {Tensile Failure Characterization of Glass/Epoxy Composites using Acoustic Emission RMS Data},
JOURNAL = {Journal of Polymer Materials},
VOLUME = {40},
YEAR = {2023},
NUMBER = {3-4},
PAGES = {215--226},
URL = {http://www.techscience.com/jpm/v40n3-4/56008},
ISSN = {0976-3449},
ABSTRACT = {The acoustic emission monitoring with artificial neural networks predicts the ultimate strength
of glass/epoxy composite laminates using Acoustic Emission Data. The ultimate loads of all
the specimens were used to characterise the emission of hits during failure modes. The six
layered glass fiber laminates were prepared (in woven mat form) with epoxy as the binding
medium by hand lay-up technique. At room temperature, with a pressure of 30 kg/cm<sup>2</sup>, the
laminates were cured. The laminates of standard dimensions as per ASTM D3039 for the
tensile test were cut from the lamina. The Acoustic Emission (AE) test was conducted on these
specimens under the load of uni-axial tension in the 10 Ton capacity Universal Testing Machine
(UTM). In the monitoring process, acoustic emission parameters such as hits, counts, energy,
duration, Root Mean Square (RMS) Value and amplitude were recorded. The RMS Values
corresponding to the amplitude ranges from tensile test were used to characterise the failure
load of all the similar glass-epoxy composite specimens.},
DOI = {10.32381/JPM.2023.40.3-4.7}
}