A method for characterizing equivalent needling density of carbon / carbon composite material

By employing optical microscopy and image analysis, the problem of characterizing the density and uniformity of needle-reinforced structures in carbon/carbon composites was solved, enabling accurate quantitative characterization of needle-reinforced structures and improving the accuracy and consistency of material performance evaluation.

CN122409535APending Publication Date: 2026-07-17HUNAN BOYUN NEW MATERIALS
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUNAN BOYUN NEW MATERIALS
Filing Date
2026-04-03
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies cannot accurately characterize the density and uniformity of needle-punched reinforcement structures in carbon/carbon composites, resulting in a lack of effective correlation between material structure evaluation and actual service performance, which affects material selection and structural safety assessment.

Method used

By employing optical microscopy and image analysis methods, microscopic image data is obtained by cutting the material along the carbon fiber reinforcement direction. By introducing statistical regions and baseline technical rules in the thickness direction, the equivalent needle density and uniformity index are calculated, thereby achieving quantitative characterization of the needle-reinforced structure.

Benefits of technology

It enables accurate quantitative characterization of needle-reinforced structures in carbon/carbon composites, improving the accuracy of material design, process optimization, and quality consistency, reducing testing costs, and effectively reflecting the uniformity of needle distribution and overall reinforcement capability.

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Abstract

本发明公开了一种碳 / 碳复合材料等效针刺密度的表征方法,沿C / C复合材料中碳纤维增强方向进行切割,获得垂直于针刺增强方向的剖面,对剖面进行多区域光学纤维成像,获取覆盖材料完整厚度方向的显微图像数据,沿C / C复合材料的厚度方向将剖面等分为n个统计区域,对各统计区域的显微图像针刺数量进行识别,统计各统计区域内针刺增强单元数量Ni,计算获得各统计区域的有效统计面积 Ai,然后根据针刺增强单元数量与有效统计面积获得局部针刺密度ρi,随后再计算获得等效针刺密度,同时计算所有统计区域的针刺密度的标准差σ,并计算获得均匀性指标。
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