Adhesive bond quality classification using machine learning algorithms based on ultrasonic pulse-echo immersion data

Author:

Samaitis VykintasORCID,Yilmaz BengisuORCID,Jasiuniene ElenaORCID

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Acoustics and Ultrasonics,Condensed Matter Physics

Reference55 articles.

1. Adhesively bonded joints in composite materials: an overview;Banea;Proc. Inst. Mech. Eng., Part L,2009

2. An updated review of adhesively bonded joints in composite materials;Budhe;Int. J. Adhes. Adhes.,2017

3. Experimental investigation of the effects of adhesive defects on the single lap joint strength;Heidarpour;Int. J. Adhes. Adhes.,2018

4. Ultrasonic non-destructive testing of complex titanium/carbon fibre composite joints;Jasiūnienė;Ultrasonics,2019

5. Effect of material, geometry, surface treatment and environment on the shear strength of single lap joints;da Silva;Int. J. Adhes. Adhes.,2009

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