| Titre : | Potential of hyperspectral imaging for quality control of polymer blend films (2009) |
| Auteurs : | Ryan Gosselin, Auteur ; Denis Rodrigue, Auteur ; Rubén González-Núñez, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Industrial & engineering chemistry research (Vol. 48 N° 6, Mars 2009) |
| Article en page(s) : | pp. 3033–3042 |
| Note générale : | Chemical engineering |
| Langues : | Anglais |
| Tags : | Hyperspectral imaging sensor Polymer film blends Multiresolutional multivariate image analysis |
| Résumé : | A visible−near-infrared (VIS-NIR) hyperspectral imaging sensor is proposed for online nondestructive monitoring of polymer film blends produced by extrusion blowing. Such a sensor provides a much higher spatial resolution of analysis compared to probes or probe arrays, which should help in detecting smaller localized defects inducing poor film quality (mechanical, optical, barrier properties) at a macroscopic scale. Multiresolutional multivariate image analysis (MR-MIA) was used to extract those spectral and textural features from images that are the most highly correlated to film composition distribution and mechanical properties. When applied to a low-density polyethylene/polystyrene (LDPE/PS) blend produced under various operating conditions, the imaging sensor was able to monitor the two dominant effects on mechanical properties: (1) the effect of film composition (raw materials) and (2) the stretching effect caused by postextrusion conditions (process). |
| En ligne : | http://pubs.acs.org/doi/abs/10.1021/ie800997x |
