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冲击载荷前后人工损伤碳/玻璃/环氧复合材料的图像分析

Image analyses of artificially damaged carbon/glass/ epoxy composites before and after impact load.

作者信息

Öztaş Burak, Korkmaz Yasemin, Çelik Halil İbrahim

机构信息

Department of Textile Engineering, Kahramanmaraş Sütçü İmam University, Kahramanmaraş, Turkey.

Department of Textile Engineering, Gaziantep University, Gaziantep, Turkey.

出版信息

Heliyon. 2024 Feb 10;10(4):e25876. doi: 10.1016/j.heliyon.2024.e25876. eCollection 2024 Feb 29.

DOI:10.1016/j.heliyon.2024.e25876
PMID:38404785
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10884454/
Abstract

In recent years, there has been a widespread utilization of composite materials, particularly in critical sectors such as aircraft manufacturing, where errors can have significant consequences. This has generated a need for effective protection of composite materials both during and after production. Detecting internal damage in composite materials, which is often visually imperceptible, becomes crucial and can be assessed using non-destructive testing methods. In this study, glass and carbon woven fabric-reinforced epoxy composites intentionally embedded with artificial damages during manufacturing were subjected to impact tests. The composite materials were scanned using the ultrasonic method to detect damages before and after the impacts. Particularly in glass fiber-reinforced composites (GFRP), the damaged area in the artificially damaged glass lamella sample (G/AL) was calculated to be 4-5 times higher than in the undamaged sample (G/UD). Damaged area values in GFRP were calculated as 72.88 mm in the G/UD sample, 143.74 mm in the G/AC sample, and 315.93 mm in the G/AL sample. While the samples with artificial damage in carbon fiber-reinforced composites (C/AL, C/AC) were perforated during the impact tests, the undamaged samples (C/UD) were not. The images obtained were evaluated using image processing algorithms and were employed in damage analysis. In conclusion, the applied method and the developed image processing algorithm yielded successful results in analyzing barely visible damages and detecting damaged areas.

摘要

近年来,复合材料得到了广泛应用,尤其是在飞机制造等关键领域,在这些领域中,错误可能会产生重大后果。这就产生了在生产过程中和生产后对复合材料进行有效保护的需求。检测复合材料内部通常肉眼难以察觉的损伤变得至关重要,并且可以使用无损检测方法进行评估。在本研究中,对在制造过程中故意嵌入人工损伤的玻璃和碳纤维织物增强环氧复合材料进行了冲击试验。使用超声方法对复合材料进行扫描,以检测冲击前后的损伤情况。特别是在玻璃纤维增强复合材料(GFRP)中,人工损伤的玻璃薄片样品(G/AL)中的损伤面积经计算比未损伤样品(G/UD)高4至5倍。GFRP中损伤面积值在G/UD样品中为72.88平方毫米,在G/AC样品中为143.74平方毫米,在G/AL样品中为315.93平方毫米。虽然碳纤维增强复合材料(C/AL、C/AC)中带有人工损伤的样品在冲击试验中被穿孔,但未损伤的样品(C/UD)没有。使用图像处理算法对获得的图像进行评估,并将其用于损伤分析。总之,所应用的方法和开发的图像处理算法在分析难以察觉的损伤和检测损伤区域方面取得了成功的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10884454/ee2e903b9075/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10884454/d0544f52bc0d/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10884454/6ee71df634ad/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10884454/e82c192eb6bd/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10884454/4239e1cc474d/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10884454/f3e199a79cdc/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10884454/54e6daea5368/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10884454/1cf56073833c/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10884454/52bcdccb74e8/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10884454/ee2e903b9075/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10884454/d0544f52bc0d/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10884454/6ee71df634ad/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10884454/e82c192eb6bd/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10884454/4239e1cc474d/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10884454/f3e199a79cdc/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10884454/54e6daea5368/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10884454/1cf56073833c/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10884454/52bcdccb74e8/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dd7/10884454/ee2e903b9075/gr9.jpg

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