@inproceedings{a8032acca690404499872194456cceb4,
title = "PROCESS MONITORING USING LIQUID THERMOPLASTIC RESIN AND 2D NANOMATERIAL-BASED FABRIC SENSORS",
abstract = "In this study, an online and in-situ process monitoring system based on graphene-coated glass fabric sensors was developed to monitor different stages of Vacuum-Assisted Resin Transfer Molding (VARTM) process for liquid thermoplastic resin (Elium{\textregistered})/glass fiber composites. The nanomaterial was coated on the glass fabrics via solution coating method. The coated glass fabric sensors were embedded at different locations within the laminate in the form of strips. The piezoresistive changes in the smart sensors were monitored and resultant electrical resistance was continuously recorded using a multichannel Data Acquisition system. The relative change in the overall resistance of the sensors was utilized to successfully monitor various steps during the VARTM process including the reinforcement compaction response under vacuum, resin impregnation and resin gelation and cure. It was found that the coating quality, dimensions and spatial position of the sensors within the laminate influenced the sensor performance.",
keywords = "Graphene Oxide, Process monitoring, Resin Infusion, Smart Sensors, Thermoplastics",
author = "Tayyab Khan and Irfan, \{Muhammad Shafiq\} and Ali, \{Muhammad Abdullah\} and Khan, \{Kamran Ahmed\} and Kin Liao and Rehan Umer",
note = "Publisher Copyright: {\textcopyright} 2022 Umer 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 = "1037--1043",
editor = "Vassilopoulos, \{Anastasios P.\} and Veronique Michaud",
booktitle = "Manufacturing",
}