采用中值滤波法提取碳纤维增强树脂基复合材料孔隙形貌特征.doc

文档介绍：
采用中值滤波法提取碳纤维增强树脂基复
合材料孔隙形貌特征#
刘欢,罗忠兵,丁珊珊,林莉**
5
10
(大连理工大学无损检测研究所,大连 116024)
摘要:提取孔隙复杂随机形貌特征是建立碳纤维增强树脂基复合材料(Carbon Fiber
Reinforced Polymer, CFRP)超声检测模型的前提,本文从图像处理角度出发,针对孔隙率为
%、孔隙横向尺寸范围 m~ m的 CFRP 试样金相照片,将纤维及树脂基体信
息看作提取孔隙形貌时的噪声信号,利用 Matlab 软件对 CFRP 金相照片进行二值化及中值
滤波处理,利用 Photoshop 图像处理软件进行细化,从而消除噪声信号,得到真实可靠的孔
隙形貌。
关键词:碳纤维增强复合材料;孔隙形貌;中值滤波
中图分类号:TB332
15
Extracting Void Morphology of Carbon Fiber Reinforced
Polymer by Midean Filtering
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25
30
35
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LIU Huan, LUO Zhongbing, DING Shanshan, LIN Li
(NDT&E Laboratory, Dalian University of Technology, Dalian 116024)
Abstract: Extracting plex and random void morphology is the precondition of setting up
ultrasonic inspection model for Carbon Fiber Reinforced Polymer (CFRP). In this paper, image
processing is used to study CFRP metallograph, whose porosity is % and void transverse
dimension is m~ m. The information of fiber and resin are considered to be noises
while extracting void morphology. Binary and median filter realized by Matlab, together with
Photoshop refining are use to get rid of noises of CFRP. So that real voids’ morphology is
acquired.
Key words: Carbon Fiber Reinforced Polymer; void morphology; midean filtering
0 引言
超声衰减法检测孔隙率是复合材料无损检测领域的研究热点之一,其中的难点在于解释
孔隙导致的超声波散射衰减机理。近期研究表明[1-5],仅考虑孔隙率还不够,孔隙尺寸、分
布、取向等形貌特征对超声散射衰减也有很大影响。为了澄清孔隙形貌对散射衰减的影响,
需要建立真实可靠的孔隙模型。提取孔