Deformation of PBO/epoxy plain weave fabric laminae followed using Raman spectroscopy

S.Y. Lei, R.J. Young

Research output: Contribution to journalArticlepeer-review

Abstract

Understanding of microscopic deformation behaviour of plain weave fabric lamina is essential in the analysis of the macroscopic mechanical properties of woven fabric composites. Many analytical models have been proposed to predict elastic properties of woven fabric laminae. The present paper is an attempt is made to fit experimental data obtained from the analysis of fibre deformation using Raman spectroscopy to the slice array model (SAM) to predict the local fibre strain distribution in the loading direction along the defined cell of a plain-weave lamina. Another model is proposed that combines the slice array and the off-axis (crimp) model and the experimental data are shown to fit this model rather better.
Original languageEnglish
Pages (from-to)499-509
Number of pages10
JournalComposites Part A: Applied Science and Manufacturing
Volume32
Issue number3-4
DOIs
Publication statusPublished - 1 Mar 2001

Keywords

  • Deformation; Elasticity; Raman spectra; Strain; Stress-strain relationship; Tensile strength; Young's modulus (deformation of PBO/epoxy plain weave fabric laminae followed using Raman spectroscopy); Synthetic polymeric fibers Role: PRP (Properties) (epoxy resins; deformation of PBO/epoxy plain weave fabric laminae followed using Raman spectroscopy); Epoxy resins Role: PRP (Properties) (fiber; deformation of PBO/epoxy plain weave fabric laminae followed using Raman spectroscopy); Epoxy resins Role: PRP (Properties) (fibers; deformation of PBO/epoxy plain weave fabric laminae followed using Raman spectroscopy); Synthetic polymeric fibers Role: PRP (Properties) (poly(benzobisoxazolediylphenylene); deformation of PBO/epoxy plain weave fabric laminae followed using Raman spectroscopy)

Fingerprint

Dive into the research topics of 'Deformation of PBO/epoxy plain weave fabric laminae followed using Raman spectroscopy'. Together they form a unique fingerprint.

Cite this