Formulation based predictive cure kinetics modelling of epoxy resins: dataset

Date

2021-11-02 15:19

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Cranfield University

Department

Type

Dataset

ISSN

Format

Free to read from

Citation

Voto, Gabriele; Sequeira, Leela; Skordos, Alex (2021). Formulation based predictive cure kinetics modelling of epoxy resins: dataset. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.14500809

Abstract

01.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.

Description

Software Description

Software Language

Github

Keywords

'Cure matrix composition design', 'Formulation Ratio Superposition', 'Thermosetting resin', 'Amine curative', 'Cure kinetics', 'Process modelling', 'Composites manufacturing', 'Organic Chemistry', 'Reaction Kinetics and Dynamics', 'Aerospace Materials', 'Composite and Hybrid Materials', 'Manufacturing Engineering not elsewhere classified', 'Polymers and Plastics', 'Simulation and Modelling', 'Theory and Design of Materials'

DOI

10.17862/cranfield.rd.14500809

Rights

CC BY-NC-ND 4.0

Relationships

Supplements

Funder/s

EPSRC Centre for Doctoral Training in Composites Manufacture [grant number EP/K50323X/1]