Recognition method of visual inspection results of dent damage in laminates

Journal of Civil Aviation University of China ›› 2022, Vol. 40 ›› Issue (6): 32-36.

• Civil Aviation • Previous Articles Next Articles

Recognition method of visual inspection results of dent damage in laminates

LIU Yanhong, DAI Shengxin

（College of Aeronautical Engineering, CAUC, Tianjin 300300, China）

Received:2021-01-04 Revised:2021-03-11 Online:2022-12-10 Published:2023-10-26

Abstract

Abstract: In order to improve the accuracy and reliability of the visual inspection results of the dent damage of composite laminates, a recognition method is proposed to identify the marked sucker by color and to minimize the distance between the marked sucker and the dent damage based on the image of the marked sucker placed in the detected dent damage. The experimental results show that this method can ensure that the recognition rate of dent damage detection reaches 99.95%. On the other hand, the computer program of the method is simple, the workload of image analysis and numerical calculation are less, which can provide reference for improving the accuracy and reliability of visual inspection results of composite laminates for domestic aircraft,

Key words: composite laminates, visual inspection, dent damage, inspection results, image recognition

CLC Number:

V267

LIU Yanhong, DAI Shengxin. Recognition method of visual inspection results of dent damage in laminates[J]. Journal of Civil Aviation University of China, 2022, 40(6): 32-36.

References

[1] KASSAPOGLOU C. Design and analysis of composite structures: with applications to aerospace structures[M]. Chichester: John Wiley & Sons, ltd., Publication, 2013.
[2] 马立敏, 张嘉振, 岳广全, 等. 复合材料在新一代大型民用飞机中的应用[J]. 复合材料学报, 2015, 32(2): 317-322.
[3] 陈巍. 先进航空发动机树脂基复合材料技术现状与发展趋势[J].航空制造技术, 2016(5): 68-72.
[4] 中国民用航空局. 航空器无损检测目视检测: MH/T 3019-2009[S].北京: 中国民用航空局, 2009.
[5] FAA. Composite aircraft structure: AC No.20-107B[S]. Washington DC: FAA, 2009.
[6] DWORAKOWSKI Z, AMBROZIN＇ SKI L, PACKO P, et al Application of artificial neural networks f or damage indices classification with the use of Lamb waves for the aerospace structures[J]. Key Engineering Materials, 2013, 588: 12-21.
[7] MOUSTAKIDIS S, ANAGNOSTIS A, KARLSSON P, et al Non-destructive inspection of aircraft composite materials using triple IR imaging [J]. IFAC-PapersOnLine, 2016, 49(28): 291-296.
[8] 华生明. 结合小波分析和 BP 神经网络的复合材料损伤检测技术研究[D]. 南京:南京航空航天大学, 2015.
[9] 韩文钦, 顾爱军. 碳纤维复合材料损伤识别的 AE 频响分析方法[J].淮阴工学院学报, 2016, 25(1): 67-71.
[10] 崔建国, 张善好, 于明月, 等. 基于增量型极限学习机的飞机复合材料结构损伤识别[J]. 科学技术与工程, 2018, 18(4): 191-196.
[11] 王昊, 王从庆. 基于模糊支持向量机的飞机蒙皮损伤识别方法[J].科学技术与工程, 2013, 13(10): 2901-2905, 2910.
[12] 闫占霄. 基于机器学习的蒙皮损伤红外热像图识别技术[D]. 天津: 中国民航大学, 2015.
[13] 王贤锋. 基于视觉和超声传感器信息融合的飞机蒙皮损伤识别[D].南京:南京航空航天大学, 2012.
[14] 闫丽, 安学锋, 蔡建丽,等. 复合材料层压板低速冲击和准静态压痕损伤等效性的研究[J]. 航空材料学报, 2011, 31(3): 71-75.
[15] 黄光启, 杨胜春, 鲍盘盘. 复合材料低速冲击与准静态压痕等效方法研究[C]//中国航空学会. 第 17 届全国复合材料学术会议（复合材料检测与测试技术分论坛）论文集, 北京: 2012: 39-42.
[16] YAN L, AN X F, YI X S. Comparison with low-velocity impact and quasi -static indentation testing of foam core sandwich composites[J].International Journal of Applied Physics and Mathematics, 2012, 2(1): 58-62.

Recognition method of visual inspection results of dent damage in laminates

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 3

Recommended Articles

Metrics

Comments

[1]	LIU Yanhong, ZHANG Zheng. Layerwise symplectic finite element method for stress analysis of composite laminate [J]. Journal of Civil Aviation University of China, 2020, 38(5): 60-64.
[2]	JIA Baohui, LIU Xuan, LU Xiang, LIN Yueguo. Study on effect of hydrothermal environment to civil aircraft composite laminates strength [J]. , 2017, 35(1): 11-16.
[3]	WANG Wei, MENG Lina, YAN Zhaojin. Asphalt pavement damage detection method based on region growing and outermost border following [J]. , 2016, 34(6): 51-54.