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基于形态学的自动铺丝纤维铺放准确性检测

曹节强 李军利 刘钢 张立强

现代制造工程Issue(5):15-22,8.
现代制造工程Issue(5):15-22,8.DOI:10.16731/j.cnki.1671-3133.2024.05.003

基于形态学的自动铺丝纤维铺放准确性检测

Automatic fiber placement accuracy detection based on morphology

曹节强 1李军利 2刘钢 3张立强1

作者信息

  • 1. 上海工程技术大学机械与汽车工程学院,上海 201620
  • 2. 上海工程技术大学机械与汽车工程学院,上海 201620||机械工业航空大型复杂薄壁构件智能制造技术重点实验室,上海 201620
  • 3. 上海工程技术大学机械与汽车工程学院,上海 201620||上海交通大学四川研究院,成都 610041
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摘要

Abstract

Automatic fibex laying quality inspection is both time consuming and inadequate,with low defect contrast.In this re-gard,according to the thermal characteristics of the fibex tow laying process,a platform for fibex tow placement accuracy detection is constructed,and the morphological algorithm is combined with infrared image features of defects for fibex tow placement accura-cy detection.Firstly,the top-hat transform of structural elements with the same shape and different scales is carried out,and then the multi-scale bright and dark regions under each group of scales and multi-scale bright and dark details between adjacent groups of scales are extracted to enhance the image;secondly,the multi-directional and multi-scale structural elements and the morpho-logical edge detection algorithm with coefficients self-adjustment are used to obtain the location of filament bundle edges.The ex-perimental results show that the method balances the coordination problem between edge detection accuracy and antinoise per-formance on top of image noise reduction and image contrast enhancement,and effectively detects the fibex tow placement accura-cy with a maximum placement error of no more than 4.53%.

关键词

图像处理/自动铺丝/形态学/红外图像/缺陷检测

Key words

image processing/automated fiber placement/morphology/infrared image/defect detecting

分类

航空航天

引用本文复制引用

曹节强,李军利,刘钢,张立强..基于形态学的自动铺丝纤维铺放准确性检测[J].现代制造工程,2024,(5):15-22,8.

基金项目

国家自然科学基金项目(52275449) (52275449)

现代制造工程

OA北大核心CSTPCD

1671-3133

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