Abstract
A method to obtain quantitative information about the chemical composition spatial distribution on rough (<i>R</i><sub>a</sub> between half a micrometer and tens of micrometers) surfaces is developed by using a Raman microscopy technique. It is tested on a wrinkled polyesterurethane-acrylate powder coating surfaces with pronounced starpatterned (mountains and valleys) structures. Raman spectra at different features on the surface are analyzed quantitatively by using a least-squares fitting method based on coating components' spectra, taking into account chemical reactions which occurred during cure. This method is able to extract the same information as qualitative analysis could from component Raman peaks when large composition heterogeneity occurs. In addition, it provides more subtle information when chemical composition distribution is less marked. This feature is particularly useful for establishing the cause of sophisticated surface structures. The origin of the surface structures is attributed to spinodal decomposition frozen by chemical reactions during cure.
PDF Article
More Like This
Distributed chemical detection outside standard coated fibers using Brillouin optical time-domain analysis of cladding mode spectra
Elad Zehavi, Alon Bernstein, Gil Bashan, Hilel Hagai Diamandi, Kavita Sharma, Yosef London, Mirit Hen, Keren Shemer, Andrei A. Stolov, Jie Li, and Avi Zadok
Optica 9(12) 1433-1443 (2022)
Cited By
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Login to access Optica Member Subscription