@inproceedings{be7fdec03af4470086d8a4b481cbc362,
title = "MODELLING THE TEMPERATURE DEPENDENT VISCOELASTIC COMPACTION BEHAVIOUR OF UNCURED PREPREGS",
abstract = "In autoclave processes like ATL and AFP, and out-of-autoclave manufacturing processes like SQRTM, prepreg layers are compacted at temperatures higher than room temperature, for better flow of resin into the layers. For process modelling of such manufacturing techniques, there is a need to develop a model that can predict the thermoviscoelastic compaction response of prepregs at different temperatures. For experimental study, single step relaxation experiments for different rates and temperatures are carried out on a glass fiber/ epoxy resin matrix prepreg. A thermo-hyper-viscoelastic numerical model was developed within thermodynamics framework incorporating the traditional compaction model and temperature scaling function to capture rate dependent thermo-viscoelastic response during compaction and relaxation phenomena in uncured prepreg.",
keywords = "numerical model, prepreg, thermoviscoelastic",
author = "Siddhesh Kulkarni and Alahmed, \{Noora Mohamed\} and Khan, \{Kamran A.\} and Rehan Umer",
note = "Publisher Copyright: {\textcopyright}2022 Khan et al.; 20th European Conference on Composite Materials: Composites Meet Sustainability, ECCM 2022 ; Conference date: 26-06-2022 Through 30-06-2022",
year = "2022",
language = "British English",
series = "ECCM 2022 - Proceedings of the 20th European Conference on Composite Materials: Composites Meet Sustainability",
pages = "144--151",
editor = "Vassilopoulos, \{Anastasios P.\} and Veronique Michaud",
booktitle = "Modeling and Prediction",
}