Open AccessComposite Self-healing U-shaped Canal Material and Fabrication Based on Computer 3D Modeling Technology
Author(s) -
Caixia Song,
Yingtao Wang,
Hongbo Wang,
Guichen Zhu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1578/1/012011
Subject(s) - weaving , yarn , process (computing) , computer science , computer graphics , software , fabric structure , mechanical engineering , engineering , materials science , composite material , computer graphics (images) , programming language , operating system
Attributing to multiple advantages such as lightweight and excellent impact resistance, plain-woven composite self-healing U-shaped canal material has been extensively applied in various fields. As it is used as the main bearing part, the existence of cracks can significantly reduce the service performance and safety factor of the material. During the usage, the internal cracks continue to expand and accelerate the material failure. In this paper, the features of four-step weaving technology are analyzed, and the yarn trajectory is simulated by the relevant computer software based on the simulation characteristics. The computer graphics technology is used to present the 3D weaving structure. The design and implementation process of composite self-healing U-shaped canal material based on the 3D modeling technology is simulated by the computer. Based on the relationship of the weaving process parameters, simulation parameters are set in the computer software to facilitate the generation of 3D weaving models for various sizes and simulation corners. This computer simulation method allows the model to approach the real structure of woven fabric infinitely, which has implemented the characterization for the damage evolution of plain woven glass fiber composite self-healing U-shaped canal material in the in-situ shear test. The geometric information of the yarn section is obtained by scanning the image, including the long and short axis in the elliptical section of the yarn and the yarn path. Spatial positioning is performed on the defects to obtain the material defect rate by statistical analysis of its volume fraction. Statistics on the geometric parameters of the yarn are performed to establish a finite element model. Given the impact of hole defects, the finite element model with defects is established. The corresponding numerical simulation of the shear test is conducted, and the impact of defects on material failure is analyzed and revealed from the aspects of modulus, strength and damage.