Characterisation of voids in fibre reinforced composite materials

By J. E. Little, Xiaowen Yuan, M. Jones. 2012

179 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/0038fe0a492d4eda8e9e328b0dd467cd5cb7e987

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. L. Gorbatikh
2. I. Verpoest

In Mechanical Engineering

1. M. Jawaid
2. S. Sapuan
3. Stepan V. Lomov
4. I. Verpoest
5. L. Gorbatikh
6. Z. Leman
7. R. Yahaya
8. M. Mehdikhani

In Mechanics of Materials

1. Stepan V. Lomov
2. I. Verpoest
3. L. Gorbatikh
4. M. Mehdikhani
5. S. Sapuan
6. M. Jawaid
7. P. Boisse
8. K. Bilisik

Citations in the corpus

• Voids in fiber-reinforced polymer composites: A review on their formation, characteristics, and effects on mechanical performance (2018, methodology): “Voids in a composite with UD carbon/epoxy plies characterized by micro-CT, displayed in (a) top, (b) 3D, (c) front, and (d) side view.(138)”
• Effect of fibre orientations on the mechanical properties of kenaf–aramid hybrid composites for spall-liner application (2016, background): “Measurement of void content is important as it is a critical imperfection in fibre reinforced composite materials [28].”