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Multivariate process trajectories for molecular description of MF thermal curing and correlation with hydrolytic stability

  • During curing of thermosetting resins the technologically relevant properties of binders and coatings develop. However, curing is difficult to monitor due to the multitude of chemical and physical processes taking place. Precise prediction of specific technological properties based on molecular properties is very difficult. In this study, the potential of principal component analysis (PCA) and principal component regression (PCR) in the analysis of Fourier transform infrared (FTIR) spectra is demonstrated using the example of melamine-formaldehyde (MF) resin curing in solid state. FTIR/PCA-based reaction trajectories are used to visualize the influence of temperature on isothermal cure. An FTIR/PCR model for predicting the hydrolysis resistance of cured MF resin from their spectral fingerprints is presented which illustrates the advantages of FTIR/PCR compared to the combination differential scanning calorimetry/isoconversional kinetic analysis. The presented methodology is transferable to the curing reactions of any thermosetting resin and can be applied to model other technologically relevant final properties as well.

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Author of HS ReutlingenKandelbauer, Andreas
Erschienen in:Journal of applied polymer science
Place of publication:New York
Document Type:Journal article
Publication year:2021
Tag:coatings; crosslinking; resins; spectroscopy; thermosets
Page Number:15
First Page:1
Last Page:15
Article Number:50635
DDC classes:540 Chemie
Open access?:Ja
Licence (German):License Logo  Creative Commons - CC BY - Namensnennung 4.0 International