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Damage Detection of Carbon Face Sheet Nomex Sandwich Composites with Image Processing Technique
International Journal of Intelligent Systems and Applications in Engineering 2021 Cilt 9
Scopus Eşleşmesi Bulundu
5
Atıf
9
Cilt
282-287
Sayfa
🔓
Açık Erişim
Scopus Yazarları: Ibrahim Demirci, Ismail Saritas
Özet
In this study, the low-velocity impact behavior of carbon face sheet Nomex honeycomb composites at repeated and increasing energy levels was investigated. Contrary to the usual method, a different method was used to analyze the damage that occurred after the low-velocity impact tests. Image-processing methods have been applied in many fields. It is thought that image processing methods will yield successful results in a detailed examination of the damage in composite materials. In addition, the detection and detailed examination of barely visible damage is also of vital importance in determining the life of composites. An ultrasonic underwater c-scan device was used to obtain damage images. Ultrasonic c-scan, which is a non-destructive testing method, is frequently used to determine damage locations and sizes in aviation areas. The use of ultrasonic systems is more advantageous in terms of speed and accuracy than other methods. An image processing method was developed to calculate the damaged areas by obtaining images. The main structure of image processing is the L*a*b* color feature space of pixels. When the C-scan images were examined, the image colors were red, blue, and green. In the L*a*b method, it was observed that the blue-colored areas, which are the damaged areas, were successful in separating them from the other undamaged areas. A Gaussian filter followed by a binary method was used to determine the last damage areas, and the damage areas were calculated.
Anahtar Kelimeler (Scopus)
Image processing L*a*b* Low-velocity impact test Ultrasonic C-scan Carbon face sheet nomex sandwich

Anahtar Kelimeler

Image processing L*a*b* Low-velocity impact test Ultrasonic C-scan Carbon face sheet nomex sandwich

Makale Bilgileri

Dergi International Journal of Intelligent Systems and Applications in Engineering
ISSN 2147-6799
Yıl 2021 / 1. ay
Cilt / Sayı 9
Makale Türü Özgün Makale
Hakemlik Hakemli
Endeks scopus
TEŞV Puanı 48,00
Yayın Dili Türkçe
Kapsam Uluslararası
Toplam Yazar 2 kişi
Erişim Türü Elektronik
Erişim Linki Makaleye Git
Alan Mühendislik Temel Alanı Mekatronik Mühendisliği Yapay Zeka

YÖKSİS Yazar Kaydı

Yazar Adı DEMİRCİ İBRAHİM, SARITAŞ İSMAİL
YÖKSİS ID 5882822