155
Views
9
CrossRef citations to date
0
Altmetric
Research Article

Post-Impact Compression Behavior of Natural Flax Fiber Composites

ORCID Icon, , , &
Pages 1683-1691 | Published online: 13 Mar 2019
 

ABSTRACT

This study investigated the damage tolerance and damage evolution of the compressive failure of a non-woven flax composite using compression after impact (CAI) tests. The effect of impact energy and influence of factors, such as impact shape, delamination area, and impactor penetration, on compressive behavior was studied. The effect of impact shape and the impact energy on the residual strength was investigated and then correlated to the impact-induced damage, previously validated. An impact energy threshold of 3 J has shown a significant effect of the studied factors on the residual strength, in addition to a clear effect of the residual damage on the composite failure under the compression loading.

摘要

采用冲击后压缩试验(CAI)研究了亚麻无纺布复合材料的损伤容限和损伤演化.研究了冲击能量和冲击形状、分层面积、冲击器穿透等因素对压缩性能的影响.研究了冲击形状和冲击能量对残余强度的影响,并将其与冲击损伤进行了关联,并进行了验证.除了残余损伤对压缩载荷下复合材料失效的明显影响外,3J冲击能阈值对残余强度的影响也很明显.

Acknowledgments

The authors want to acknowledge the Natural Sciences and Engineering Research Council of Canada (NSERC grant number: RGPIN/138039-2012) and Mitacs (IT08074) for their financial support to this project. Authors would also like to thank the Centre de Recherche Industrielle du Québec (CRIQ) for their continuous support of this project.

Additional information

Funding

This work was supported by the Mitacs [IT08074]; Natural Sciences and Engineering Research Council of Canada [RGPIN/138039-2012].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.