Acoustic Emission (AE) of fiberglass insulation material

Fong Shu; Valery Godinez; Richard Finlayson

doi:10.1117/12.538066

21 July 2004 Acoustic Emission (AE) of fiberglass insulation material

Fong Shu, Valery Godinez, Richard Finlayson

Proceedings Volume 5392, Testing, Reliability, and Application of Micro- and Nano-Material Systems II; (2004) https://doi.org/10.1117/12.538066
Event: NDE for Health Monitoring and Diagnostics, 2004, San Diego, CA, United States

Abstract

In order to develop an effective and accurate way to monitor and control the quality of fiberglass products, Acoustic Emission (AE) signals, generated during compression of fiberglass samples, were studied and analyzed using neural network based pattern recognition software. Distinguishable patterns were found in samples manufactured under different conditions and compositions, which resulted in different product quality. AE waveform features, such as absolute energy, average frequency, duration, and rise time were analyzed and the features showed strong dependence on the sample tested. This made sample classification possible and definitive and therefore a classifier was developed and applied to data collected from additional test samples. Finally, an AE system for the evaluation of fiberglass insulation was designed and built. It is expected that the developed system will be used as a quality control tool in industrial production of fiberglass insulating material. In this paper we will discuss the AE data collection and analysis, classifier development, and give an overview of the inspection system developed.

Citation Download Citation

Fong Shu, Valery Godinez, and Richard Finlayson "Acoustic Emission (AE) of fiberglass insulation material", Proc. SPIE 5392, Testing, Reliability, and Application of Micro- and Nano-Material Systems II, (21 July 2004); https://doi.org/10.1117/12.538066

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