Optimizing Polymer Infusion Process for Thin Ply Textile Composites with Novel Matrix System

For mass production of structural composites, use of different textile patterns, custom preforming, room temperature cure high performance polymers and simplistic manufacturing approaches are desired. Woven fabrics are widely used for infusion processes owing to their high permeability but their loc...

Full description

Saved in:
Bibliographic Details
Main Authors: Perrotey, Pavel, Joshi, Sunil Chandrakant, Bhudolia, Somen Kumar
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2018
Subjects:
Online Access:https://hdl.handle.net/10356/89309
http://hdl.handle.net/10220/44871
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-89309
record_format dspace
spelling sg-ntu-dr.10356-893092023-03-04T17:17:07Z Optimizing Polymer Infusion Process for Thin Ply Textile Composites with Novel Matrix System Perrotey, Pavel Joshi, Sunil Chandrakant Bhudolia, Somen Kumar School of Mechanical and Aerospace Engineering Institute for Sports Research VARI NCFs For mass production of structural composites, use of different textile patterns, custom preforming, room temperature cure high performance polymers and simplistic manufacturing approaches are desired. Woven fabrics are widely used for infusion processes owing to their high permeability but their localised mechanical performance is affected due to inherent associated crimps. The current investigation deals with manufacturing low-weight textile carbon non-crimp fabrics (NCFs) composites with a room temperature cure epoxy and a novel liquid Methyl methacrylate (MMA) thermoplastic matrix, Elium®. Vacuum assisted resin infusion (VARI) process is chosen as a cost effective manufacturing technique. Process parameters optimisation is required for thin NCFs due to intrinsic resistance it offers to the polymer flow. Cycles of repetitive manufacturing studies were carried out to optimise the NCF-thermoset (TS) and NCF with novel reactive thermoplastic (TP) resin. It was noticed that the controlled and optimised usage of flow mesh, vacuum level and flow speed during the resin infusion plays a significant part in deciding the final quality of the fabricated composites. The material selections, the challenges met during the manufacturing and the methods to overcome these are deliberated in this paper. An optimal three stage vacuum technique developed to manufacture the TP and TS composites with high fibre volume and lower void content is established and presented. Published version 2018-05-23T04:41:07Z 2019-12-06T17:22:33Z 2018-05-23T04:41:07Z 2019-12-06T17:22:33Z 2017 Journal Article Bhudolia, S. K., Perrotey, P., & Joshi, S. C. (2017). Optimizing Polymer Infusion Process for Thin Ply Textile Composites with Novel Matrix System. Materials, 10(3), 293-. 1996-1944 https://hdl.handle.net/10356/89309 http://hdl.handle.net/10220/44871 10.3390/ma10030293 en Materials © 2017 by The Author(s). Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). 19 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic VARI
NCFs
spellingShingle VARI
NCFs
Perrotey, Pavel
Joshi, Sunil Chandrakant
Bhudolia, Somen Kumar
Optimizing Polymer Infusion Process for Thin Ply Textile Composites with Novel Matrix System
description For mass production of structural composites, use of different textile patterns, custom preforming, room temperature cure high performance polymers and simplistic manufacturing approaches are desired. Woven fabrics are widely used for infusion processes owing to their high permeability but their localised mechanical performance is affected due to inherent associated crimps. The current investigation deals with manufacturing low-weight textile carbon non-crimp fabrics (NCFs) composites with a room temperature cure epoxy and a novel liquid Methyl methacrylate (MMA) thermoplastic matrix, Elium®. Vacuum assisted resin infusion (VARI) process is chosen as a cost effective manufacturing technique. Process parameters optimisation is required for thin NCFs due to intrinsic resistance it offers to the polymer flow. Cycles of repetitive manufacturing studies were carried out to optimise the NCF-thermoset (TS) and NCF with novel reactive thermoplastic (TP) resin. It was noticed that the controlled and optimised usage of flow mesh, vacuum level and flow speed during the resin infusion plays a significant part in deciding the final quality of the fabricated composites. The material selections, the challenges met during the manufacturing and the methods to overcome these are deliberated in this paper. An optimal three stage vacuum technique developed to manufacture the TP and TS composites with high fibre volume and lower void content is established and presented.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Perrotey, Pavel
Joshi, Sunil Chandrakant
Bhudolia, Somen Kumar
format Article
author Perrotey, Pavel
Joshi, Sunil Chandrakant
Bhudolia, Somen Kumar
author_sort Perrotey, Pavel
title Optimizing Polymer Infusion Process for Thin Ply Textile Composites with Novel Matrix System
title_short Optimizing Polymer Infusion Process for Thin Ply Textile Composites with Novel Matrix System
title_full Optimizing Polymer Infusion Process for Thin Ply Textile Composites with Novel Matrix System
title_fullStr Optimizing Polymer Infusion Process for Thin Ply Textile Composites with Novel Matrix System
title_full_unstemmed Optimizing Polymer Infusion Process for Thin Ply Textile Composites with Novel Matrix System
title_sort optimizing polymer infusion process for thin ply textile composites with novel matrix system
publishDate 2018
url https://hdl.handle.net/10356/89309
http://hdl.handle.net/10220/44871
_version_ 1759855550384832512