A thermochemical and rheological model incorporating inhibition time for highly reactive polyester resins in liquid moulding processes

This work presents the development of a comprehensive model to describe the cure kinetics and viscosity behaviour of polyester-based resin systems used in liquid composite moulding applications. The model accounts for both inhibition and diffusion effects, providing a unified equation that simplifies the complex integral expressions often required in sequential or piecewise approaches. Thermogravimetric analysis (TGA), Differential Scanning Calorimetry (DSC), and rheological characterization were performed to assess the thermal stability, curing behaviour, and viscosity changes over a range of isothermal temperatures. Time-temperature graphs generated by the model highlight critical regions for processing, including the processability window and the rapid crosslinking region. These insights are crucial for optimizing process parameters in the large-scale manufacturing of composite parts, particularly for complex geometries. • A novel cure kinetics model that accounts for inhibition and diffusion effects. • A viscosity model coupled with the cure kinetics model and inhibition effects. • Processability maps show the available injection time vs. process temperature. • Simulation compares HPRTM of polyester with inhibitor vs. highly reactive resin.

Authors

Institutions

Publication Details

Journal
Composites Communications
Published
2025-09-04
DOI
https://doi.org/10.1016/j.coco.2025.102577
Citations
1
Primary Topic
Epoxy Resin Curing Processes
Type
article
Field-Weighted Citation Impact
0.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A thermochemical and rheological model incorporating inhibition time for highly reactive polyester resins in liquid moulding processes

Pascal Hubert, Loleï Khoun, L. Riffard, Leonardo Barcenas et al.
1 citations
Composites Communications
Epoxy Resin Curing Processes
0.71
article

A thermochemical and rheological model incorporating inhibition time for highly reactive polyester resins in liquid moulding processes

Pascal Hubert, Loleï Khoun, L. Riffard, Leonardo Barcenas, Sidharth Sarojini Narayana
article en
1 citations

Abstract

This work presents the development of a comprehensive model to describe the cure kinetics and viscosity behaviour of polyester-based resin systems used in liquid composite moulding applications. The model accounts for both inhibition and diffusion effects, providing a unified equation that simplifies the complex integral expressions often required in sequential or piecewise approaches. Thermogravimetric analysis (TGA), Differential Scanning Calorimetry (DSC), and rheological characterization were performed to assess the thermal stability, curing behaviour, and viscosity changes over a range of isothermal temperatures. Time-temperature graphs generated by the model highlight critical regions for processing, including the processability window and the rapid crosslinking region. These insights are crucial for optimizing process parameters in the large-scale manufacturing of composite parts, particularly for complex geometries. • A novel cure kinetics model that accounts for inhibition and diffusion effects. • A viscosity model coupled with the cure kinetics model and inhibition effects. • Processability maps show the available injection time vs. process temperature. • Simulation compares HPRTM of polyester with inhibitor vs. highly reactive resin.

Composites CommunicationsVol. 59
AS Composite (Canada) (CA), National Research Council Canada (CA), McGill University (CA)
Openalex Percentile: Top 28%
Epoxy Resin Curing Processes
0.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.