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Potential of hyperspectral imaging for quality control of polymer blend films / Ryan Gosselin in Industrial & engineering chemistry research, Vol. 48 N° 6 (Mars 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N° 6 (Mars 2009) . - pp. 3033–3042 Titre : Potential of hyperspectral imaging for quality control of polymer blend films Type de document : texte imprimé Auteurs : Ryan Gosselin, Auteur ; Denis Rodrigue, Auteur ; Rubén González-Núñez, Auteur Année de publication : 2009 Article en page(s) : pp. 3033–3042 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : 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 [article] Potential of hyperspectral imaging for quality control of polymer blend films [texte imprimé] / Ryan Gosselin, Auteur ; Denis Rodrigue, Auteur ; Rubén González-Núñez, Auteur . - 2009 . - pp. 3033–3042. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 6 (Mars 2009) . - pp. 3033–3042 Mots-clés : 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