Document Type
Article
Abstract
We describe the development and implementation of a spectroscopic Raman imaging system using Principal Component data analysis. Raman microspectroscopy followed by multivariate data analysis and principal component mapping has been used to investigate the spatial variations of chemical and physical properties at interfaces in glass-reinforced composites on the micrometer scale. A protocol for monitoring chemical and physical variances via multivariate statistics has been developed and a preliminary study of a "real world" glass-reinforced composite is presented. It is demonstrated that multivariate Raman imaging is more precisely interpretable than traditional univariate methods and that by appropriately choosing distinct spectral regions (such as a cure sensitive epoxide band) for PCA, subtle compositional changes like local cure percentage may be observed.
Digital Object Identifier (DOI)
Publication Info
Published in Science and Engineering of Composite Materials, Volume 7, Issue 1-2, 1998, pages 51-80.
APA Citation
Stellman, C. M., Booksh, K. S., Muroski, A. R., Nelson, M. P., & Myrick, M. L. (1998). Principal Component Mapping Applied to Raman Microspectroscopy of Fiber-Reinforced Polymer Composites. Science and Engineering of Composite Materials, 7(1-2), 51–80.https://doi.org/10.1515/SECM.1998.7.1-2.51