Abstract
Electrical resistance monitoring (ERM) has been used to study the effect of the z-binding yarns on the initial electrical resistance (ER) and its change of three architectures of 3D woven carbon fiber composites namely (orthogonal "ORT", layer-to-layer "LTL" and angle interlock "AI") when tested in tension. Specimens are loaded in on-axis "warp" and off-axis "45°" directions. In situ ERM is achieved using the four-probe technique. Monotonic and cyclic "load/unload" tests are performed to investigate the effect of piezo-resistivity and residual plasticity on resistance variation. The resistance increases for the off-axis loaded specimens (∼90%) is found to be higher than that of their on-axis counterparts (∼20%). In the case of cyclic testing, the resistance increase upon unloading is irreversible which suggests permanent damage presence not piezo-resistive effect. At the moment, it is difficult to obtain a direct correlation between resistance variation and damage in 3D woven composites due to the complexity of the conduction path along the three orthogonal directions, however this study demonstrates the potential of using ERM for damage detection in 3D woven carbon fiber-based composites and highlights the challenges that need to be overcome to establish ERM as a Structural Health Monitoring (SHM) technique for such material systems.
Recommended Citation
M. N. Saleh et al., "The Effect of Z-Binding Yarns on the Electrical Properties of 3D Woven Composites," Composite Structures, vol. 182, pp. 606 - 616, Elsevier, Dec 2017.
The definitive version is available at https://doi.org/10.1016/j.compstruct.2017.09.081
Department(s)
Mechanical and Aerospace Engineering
Publication Status
Full Text Access
Keywords and Phrases
3-Dimensional reinforcement; Carbon fibres; Damage mechanics; Electrical properties
International Standard Serial Number (ISSN)
0263-8223
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Elsevier, All rights reserved.
Publication Date
15 Dec 2017

Comments
University of Manchester, Grant None