Abstract: Carbon fiber characterization processes are described that include multi-condition Raman spectroscopy-based examination combined with multivariate data analyses. Methods are a nondestructive material characterization approach that can provide predictions as to carbon fiber bulk physical properties, as well as identification of unknown carbon fiber materials for quality control purposes. The framework of the multivariate analysis methods includes a principal component-based identification protocol including comparison of Raman spectral data from an unknown carbon fiber with a data library of multiple principal component spaces.

Abstract: A process in which a scented ink is applied to an article. An oil-based scent is mixed with a plastisol-type ink and applied to an article, such as a t-shirt. All layers of the ink forming the design, including the base layer, the color layers and a top special effects clear plastisol ink, include the scent. The combination of a plastisol ink and the oil-based scent results in a design with a positive “hand”, where elevated temperatures activate the scent.