Optimization of Glass Transition Temperature and Pot Life of Epoxy Blends Using Response Surface Methodology (RSM)

The aim of this work was to improve the processability of triglycidyl-p-aminophenol (TGPAP) epoxy resin. To achieve this improvement, a diluent, the diglycidyl ether of bisphenol F (DGEBF or BPF), was added to TGPAP, and the blended epoxy was then cured with 4, 4′-diaminodiphenyl sulfones (DDS). A r...

Full description

Saved in:
Bibliographic Details
Published in:Polymers 2021-09, Vol.13 (19), p.3304
Main Authors: Junid, Ramli, Siregar, Januar Parlaungan, Endot, Nor Azam, Razak, Jeefferie Abd, Wilkinson, Arthur N.
Format: Article
Language:English
Subjects:
Aerospace engineering
Aminophenol
Bisphenol A
Design of experiments
Epoxy resins
Factorial experiments
Glass transition temperature
Impact strength
Mechanical properties
Molecular structure
Optimization
Polymer blends
Response surface methodology
Sulfones
Thermal analysis
Viscosity
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The aim of this work was to improve the processability of triglycidyl-p-aminophenol (TGPAP) epoxy resin. To achieve this improvement, a diluent, the diglycidyl ether of bisphenol F (DGEBF or BPF), was added to TGPAP, and the blended epoxy was then cured with 4, 4′-diaminodiphenyl sulfones (DDS). A response surface methodology (RSM) was used, with the target response being to achieve a blended resin with a high glass transition temperature (Tg) and maximum pot life (or processing window, PW). Characterization through dynamic mechanical thermal analysis (DMTA) and using a rheometer indicated that the optimum formulation was obtained at 55.6 wt.% of BPF and a stoichiometric ratio of 0.60. Both values were predicted to give Tg at 180 °C and a processing window of up to 136.1 min. The predicted values were verified, with the obtained Tg and processing window (PW) being 181.2 ± 0.8 °C and 140 min, respectively, which is close to the values predicted using the RSM.
ISSN:2073-4360
2073-4360
DOI:10.3390/polym13193304