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Formulation based predictive cure kinetics modelling of epoxy resins: dataset
dataset
posted on 2021-11-02, 15:19 authored by Gabriele Voto, Leela Sequeira, Alex SkordosAlex Skordos01.Binary blends.xlsm - it contains the integrated DSC data (i.e. time, temperature, conversion degree and reaction rate) and corresponding data resulting from the application of an autocatalytic model for all binary blends assessed across one dynamic and two isothermal profiles; it also includes the reaction rate errors between experiment and prediction.
02.Ternary blends.xlsm - it contains the integrated DSC data (i.e. time, temperature, conversion degree and reaction rate) and corresponding data resulting from the application of the Formulation Ratio Superposition (FRS) for all ternary blends assessed across one dynamic and two isothermal profiles; it also includes the reaction rate errors between experiment and prediction in columns labelled 'Rate error across wider dataset' which report reaction rate for a greater sampling rate.
Funding
EPSRC Centre for Doctoral Training in Composites Manufacture [grant number EP/K50323X/1]
History
Authoriser (e.g. PI/supervisor)
a.a.skordos@cranfield.ac.ukUsage metrics
Categories
Keywords
Cure matrix composition designFormulation Ratio SuperpositionThermosetting resinAmine curativeCure kineticsProcess modellingComposites manufacturingOrganic ChemistryReaction Kinetics and DynamicsAerospace MaterialsComposite and Hybrid MaterialsManufacturing Engineering not elsewhere classifiedPolymers and PlasticsSimulation and ModellingTheory and Design of Materials
