Modeling of complex viscosity changes in the curing of epoxy resins from near-infrared spectroscopy and multivariate regression analysis.
The present study investigates the relationship between the changes in complex viscosity and near-infrared spectra. Principal component regression analysis is applied to a near-infrared data set obtained from the in situ monitoring of the curing of diglycidyl ether of bisphenol A with the diamine 4,4'-diaminodiphenylmethane. The values of complex viscosity obtained by dynamic mechanical analysis during the cure process were used as a reference. The near-infrared spectra recorded throughout the reaction, unlike the univariate data analysis at some wavelengths of the spectra, contain a sufficient amount of information to estimate the complex viscosity. The relationship found was high and the results demonstrate the quality of the fitted model. Also, a simple user-friendly procedure for applying the model, focused on the user, is shown.
Garrido
M
M
Department of Analytical and Organic Chemistry, Faculty of Chemistry, Rovira i Virgili University. Pl. Imperial Tàrraco, 1 (43005), Tarragona, Spain.
Larrechi
M S
MS
Rius
F X
FX
D000465:Algorithms; D003198:Computer Simulation; D004853:Epoxy Resins / Q000032:analysis* / Q000737:chemistry*; D006244:Hardness; D006245:Hardness Tests / Q000379:methods*; D007700:Kinetics; D008956:Models, Chemical; D015999:Multivariate Analysis; D012044:Regression Analysis; D013055:Spectrophotometry, Infrared / Q000379:methods*; D014783:Viscosity
D004853:Epoxy Resins