Analysis of CFRP joints by means of T-pull mechanical test and ultrasonic defects detection

Caterina Casavola, Fania Palano, Francesco De Cillis, Angelo Tati, Roberto Terzi, Vincenza Luprano

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Defects detection within a composite component, with the aim of understanding and predicting its mechanical behavior, is of great importance in the aeronautical field because the irregularities of the composite material could compromise functionality. The aim of this paper is to detect defects by means of non-destructive testing (NDT) on T-pull samples made by carbon fiber reinforced polymers (CFRP) and to evaluate their effect on the mechanical response of the material. Samples, obtained from an industrial stringer having an inclined web and realized with a polymeric filler between cap and web, were subjected to ultrasonic monitoring and then to T-pull mechanical tests. All samples were tested with the same load mode and the same test configuration. An experimental set-up consisting of a semiautomatic C-scan ultrasonic mapping system with a phased array probe was designed and developed, optimizing control parameters and implementing image processing software. The present work is carried out on real composites parts that are characterized by having their intrinsic defectiveness, as opposed to the previous similar results in the literature mainly obtained on composite parts with artificially produced defects. In fact, although samples under study were realized free from defects, ultrasonic mapping found defectiveness inside the material. Moreover, the ultrasonic inspection could be useful in detecting both the location and size of defects. Experimental data were critically analyzed and qualitatively correlated with results of T-pull mechanical tests in order to better understand and explain mechanical behavior in terms of fracture mode.
Original languageEnglish
Article number620
Pages (from-to)-
JournalMaterials
Volume11
Issue number4
DOIs
Publication statusPublished - 18 Apr 2018
Externally publishedYes

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Materials Science(all)

Cite this