MONITORING ACOUSTIC EMISSION DURING TENSILE LOADING OF THERMOPLASTIC COMPOSITES MATERIALS
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| Autores principales: | , |
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| Formato: | Recurso digital |
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Zenodo
1999
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| _version_ | 1866901721328910336 |
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| author | Laksimi S. Benmedakhene & L. Bounouas |
| author_facet | Laksimi S. Benmedakhene & L. Bounouas |
| contents | Advance, parameters based acoustic emission AE techniques have been developed to evaluate damage and micro-failures in thermoplastic composites materials. This paper reports on an experimental investigation on mechanical and acoustic emission behaviour of polypropylene glass fibre composites that were tested in tension. An advanced digital signal processing techniques were also employed to identified fibre and matrix failure, pseudo-delamination, splitting (or cracking along fibres), and friction. These can be discriminated on the basis of different acoustic emission parameters. It is found that the tree parameters of acoustic emission data, the peak amplitude, event duration and event energy are the best indicators for characterisation the damage mechanics. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15418850 |
| institution | Zenodo |
| language | |
| publishDate | 1999 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | MONITORING ACOUSTIC EMISSION DURING TENSILE LOADING OF THERMOPLASTIC COMPOSITES MATERIALS Laksimi S. Benmedakhene & L. Bounouas Advance, parameters based acoustic emission AE techniques have been developed to evaluate damage and micro-failures in thermoplastic composites materials. This paper reports on an experimental investigation on mechanical and acoustic emission behaviour of polypropylene glass fibre composites that were tested in tension. An advanced digital signal processing techniques were also employed to identified fibre and matrix failure, pseudo-delamination, splitting (or cracking along fibres), and friction. These can be discriminated on the basis of different acoustic emission parameters. It is found that the tree parameters of acoustic emission data, the peak amplitude, event duration and event energy are the best indicators for characterisation the damage mechanics. |
| title | MONITORING ACOUSTIC EMISSION DURING TENSILE LOADING OF THERMOPLASTIC COMPOSITES MATERIALS |
| url | https://doi.org/10.5281/zenodo.15418850 |