Detection And Classification Of Impact-Induced Delamination In Fiberglass Pre-Impregnated Laminated Composites From Ultrasonic A-Scan Signal Using Artificial Intelligence

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Detection And Classification Of Impact-Induced Delamination In Fiberglass Pre-Impregnated Laminated Composites From Ultrasonic A-Scan Signal Using Artificial Intelligence

Impact-induced delamination (IID) in fiberglass pre-impregnated laminated composites (FGLC) is an important failure mode. Besides affected the material strength and structural reliability, this failure mode normally present minor damage on the surface but the internal damage may extensive. Existi...

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Bibliographic Details
Main Author:	Mahmod, Muhammad Faisal
Format:	Thesis
Language:	English
Published:	2018
Subjects:	T Technology TJ1-1570 Mechanical engineering and machinery
Online Access:	http://eprints.usm.my/46418/ http://eprints.usm.my/46418/1/Detection%20And%20Classification%20Of%20Impact-Induced%20Delamination%20In%20Fiberglass%20Pre-Impregnated%20Laminated%20Composites%20From%20Ultrasonic%20A-Scan%20Signal%20Using%20Artificial%20Intelligence.pdf

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