Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/89309
Title: Optimizing Polymer Infusion Process for Thin Ply Textile Composites with Novel Matrix System
Authors: Perrotey, Pavel
Joshi, Sunil Chandrakant
Bhudolia, Somen Kumar
Keywords: VARI
NCFs
Issue Date: 2017
Source: 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-.
Series/Report no.: Materials
Abstract: 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.
URI: https://hdl.handle.net/10356/89309
http://hdl.handle.net/10220/44871
ISSN: 1996-1944
DOI: http://dx.doi.org/10.3390/ma10030293
Rights: © 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/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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