RATE DEPENDENT ELECTROMECHANCAL CHARACTERIZATION AND MODELING OF GRAPHENE BASED FIBER REINFORCED POLYMER LAMINATES

Ud Din Israr, Medhin Yacob, Aslam Naziha, Salman Mohamed, Bathusha Sikandar, Umer Rehan, A. Khan Kamran

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Fiber reinforced polymer (FRP) composite laminates are used in numerous structures that require high strength-to-weight ratio. The health status of these laminates is traditionally monitored using point strain gauge arrays, fiber optics etc. installed at critical locations. In this work, a composite laminate capable of sensing its own health has been developed using embedded fabric sensor. In this study, a manufacturing protocol is developed for in-situ reduction of graphene oxide (GO) coated fabric into rGO coated fabric. A vacuum assisted resin transfer molding process was used to fabricate the composite laminates with embedded rGO coated fabric sensors. The piezoresistivity of the composite laminate was measured both before and during fabrication. The in-plane tension tests were carried out at three different loading rates (0.2, 2, 20 mm/min) to determine the rate-dependent piezoresistive response of composite laminates. We recorded both the piezoresistivity and load-displacement data simultaneously to obtain the electromechanical response of the fabricated samples.

Original languageBritish English
Title of host publicationLife Cycle Assessment
EditorsAnastasios P. Vassilopoulos, Veronique Michaud
Pages187-194
Number of pages8
ISBN (Electronic)9782970161400
StatePublished - 2022
Event20th European Conference on Composite Materials: Composites Meet Sustainability, ECCM 2022 - Lausanne, Switzerland
Duration: 26 Jun 202230 Jun 2022

Publication series

NameECCM 2022 - Proceedings of the 20th European Conference on Composite Materials: Composites Meet Sustainability
Volume6

Conference

Conference20th European Conference on Composite Materials: Composites Meet Sustainability, ECCM 2022
Country/TerritorySwitzerland
CityLausanne
Period26/06/2230/06/22

Keywords

  • characterization
  • electromechanical
  • fiber reinforced polymer
  • Graphene
  • rate dependency

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