Increasing the interfacial strength in carbon fiber/polypropylene composites by growing CNTs on the fibers

S. Yumitori, Y. Arao, T. Tanaka, K. Naito, K. Tanaka, T. Katayama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Citations (Scopus)

Abstract

Carbon nanotubes (CNTs) were grown uniformity on the surface of carbon fibers to create hierarchical fibers by use of floating catalyst chemical vapor deposition. The tensile properties of CNTs grafted fibers were measured. The strength of grafted fibers decreased approximately 12% compared to raw carbon fibers in this process. A fiber pull-out test revealed that the interfacial shear strength (IFSS) in polypropylene composites improved by 35% by grafting CNTs onto carbon fibers. It indicates the use of hierarchical fibers in thermoplastic composites is effective due to the improvement of IFSS by mechanical interlocking between CNTs and the matrix. The CNT/fiber joint strength is the most critical property, and the experimental observations also revealed that the joint fracture was the major failure mode.

Original languageEnglish
Title of host publicationComputational Methods and Experimental Measurements XVI
EditorsGiovanni M. Carlomagno, Carlos A. Brebbia, Santiago Hernandez
PublisherWITPress
Pages275-284
Number of pages10
ISBN (Electronic)9781845647322
ISBN (Print)9781845647322
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event16th International Conference on Computational Methods and Experimental Measurements, CMEM 2013 - A Coruna, Spain
Duration: 2013 Jul 22013 Jul 4

Publication series

NameWIT Transactions on Modelling and Simulation
Volume55
ISSN (Print)1743-355X

Conference

Conference16th International Conference on Computational Methods and Experimental Measurements, CMEM 2013
Country/TerritorySpain
CityA Coruna
Period13/7/213/7/4

Keywords

  • Carbon fibers
  • Carbon nanotube
  • Hierarchical reinforcement
  • Interface
  • Thermoplastics

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computational Mathematics

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