Multi-scale digital image correlation for detection and quantification of matrix cracks in carbon fiber composite laminates in the absence and presence of voids controlled by the cure cycle-Reference-Cited by-同舟云学术

Multi-scale digital image correlation for detection and quantification of matrix cracks in carbon fiber composite laminates in the absence and presence of voids controlled by the cure cycle

Published:2018-12 Issue: Volume:154 Page:138-147
ISSN:1359-8368
Container-title:Composites Part B: Engineering
language:en
Short-container-title:Composites Part B: Engineering

Author:

Mehdikhani Mahoor^ORCID,Steensels Eline,Standaert Axelle^ORCID,Vallons Katleen A.M.^ORCID,Gorbatikh Larissa,Lomov Stepan V.^ORCID

Funder

SIM (Strategic Initiative Materials in Flanders)

VLAIO (Flemish government agency for Innovation and Entrepreneurship)

IBO project M3Strength

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials,Ceramics and Composites

Reference44 articles.

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3. Voids in fiber-reinforced polymer composites: a review on their formation, characteristics, and effects on mechanical performance;Mehdikhani;J Compos Mater,2018

4. Statistical methodology for assessing manufacturing quality related to transverse cracking in cross ply laminates;Huang;Compos Sci Technol,2014

5. Effects of voids on quasi-static and tension fatigue behaviour of carbon-fibre composite laminates;Sisodia;J Compos Mater,2014

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