Three-dimensional reconstruction modeling method for fiber reinforced composite material based on CT (Computed Tomography) slice image

Abstract

The invention belongs to the technical field of material microstructure three-dimensional reconstruction modeling, and particularly relates to a fiber reinforced composite material three-dimensional reconstruction modeling method based on a CT (Computed Tomography) slice image, which comprises the following steps of: 1) acquiring a fiber reinforced composite material microstructure slice image by adopting a CT technology, and converting the fiber reinforced composite material microstructure slice image into a grayscale image; 2) carrying out binaryzation on a composite material microscopic CT slice gray level image; 3) identifying the contour of the fiber bundle of the binarized material grayscale image; 4) smoothing the contour of the fiber bundle of the material gray level image; and 5) performing three-dimensional reconstruction on the microstructure of the fiber reinforced composite material. According to the method for three-dimensional reconstruction modeling of the microscopic scale, the cost and errors of artificial three-dimensional reconstruction modeling are greatly reduced, accurate and efficient quantitative characterization and modeling can be carried out on changes of the morphology and the size of the microscopic structure of the material, and the method has good engineering popularization performance.

Description

technical field [0001] The invention belongs to the technical field of three-dimensional reconstruction modeling of material mesostructure, in particular to a method for three-dimensional reconstruction modeling of fiber-reinforced composite materials based on CT slice images. Background technique [0002] Fiber-reinforced composite materials have broad application prospects in engineering fields such as aerospace, vehicles, and construction due to their excellent mechanical properties such as high specific strength, high specific stiffness, and low density. However, the mesoscopic structure of fiber-reinforced composite materials is complex and changeable. Under the action of high temperature, stress and time during the preparation process, the fiber bundles will inevitably squeeze, twist, and deform each other to form an irregular mesoscopic weaving structure. Macro performance depends on its internal micro and mesostructure. The macroscopic mechanical properties of compo...

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Problems solved by technology

[0003] In order to ensure the safe application of fiber-reinforced composite materials in the engineering field, it is necessary to study the influence of the mesoscopic weaving characteristics of the material on the macroscopic mechanical properties of the material. However, the existing mesoscopic modeling methods are based on certain approximations and simplified assumptions. There is a lack of 3D reconstruction modeling methods that can represent and reflect real mesostructure features

[0004] Chinese patent CN 111063402 A discloses a mesoscale geometric reconstruction method for fiber reinforced composites based on the Monte Carlo method, which can obtain data such as the number, filling rate, average orientation and length distribution of fibers in the geometrically reconstructed body, but This method cannot reflect the morphology and size change characteristics of the mesoscale fiber bundles

There is no other reconstruction modeling method in China that can truly restore the characteristics of the mesostructure

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