Abstract
Acoustic emission (AE) is a phenomenon very widely used to predict the ultimate strength of fibre reinforced plastic composites. The ultimate strength of the carbon/epoxy tensile specimens was predicted, using the artificial neural network (ANN). The 15 numbers of carbon/epoxy composite specimens were fabricated as per ASTM D 3039 standards. These specimens were loaded with a 10 TON capacity universal tensile machine. AE data were collected up to 70% of the failure load. AE parameters like amplitude, duration, energy, count and RMS values were collected. The RMS value corresponding to the amplitude ranges obtained during tensile testing were used to predict the failure load of a similar specimen subjected to uniaxial tension well before its failure load.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Materials and Product Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
