4.7 Article

A real micro-structural model to simulate the transversal compression behaviors of unidirectional composites based on the μ-CT detection

期刊

COMPOSITES COMMUNICATIONS
卷 32, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.coco.2022.101184

关键词

Unidirectional composite; Micro computed tomography; Transversal compression; Numerical simulation

资金

  1. National Natural Science Foundation of China [12002248, 52073224]
  2. University Association for Science and Technology in Shaanxi, China [20210509]
  3. Natural Science Basic Research Program of Shaanxi [2019JQ-182, 2021JQ-659]
  4. Science and Technology Guiding Project of China National Textile and Apparel Council [2020044]
  5. Graduate Scientific Innovation Fund for Xi'an Polytechnic University [chx2021004]

向作者/读者索取更多资源

In this paper, a microstructural model of UD composite was built using μ-CT technique and image processing algorithm. The validity of the model was verified and the results showed that fiber accumulated array plays a key role in the mechanical properties, while resin bubble significantly affects the transversal compression behavior.
In this paper, the microstructural model of the unidirectional (UD) composite was firstly built based on a series of computed tomography (CT) images captured with the micro-CT (mu-CT) technique. During the modeling process, a fast and simple algorithm based on the image processing technique was developed to find out the centroids of fibers in CT images. The validity of the microstructural model was then verified by comparing it with some other ideal models and experimental results. The verification results indicated the fiber accumulated array is responsible for the compression modulus, strength, and failure model of UD composite. Besides, the resin bubble has the most significant effect on the transversal compression behavior of UD composite. The idea of creating the real microstructural model for UD composite can also be used for other types of composites to improve the precision of the related numerical models.

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