contributor author | Palanisamy, Rajendra P.;Banerjee, Portia;Haq, Mahmoodul;Deng, Yiming | |
date accessioned | 2023-04-06T12:59:05Z | |
date available | 2023-04-06T12:59:05Z | |
date copyright | 10/7/2022 12:00:00 AM | |
date issued | 2022 | |
identifier issn | 25723901 | |
identifier other | nde_5_4_041008.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4288875 | |
description abstract | Increased effort for lightweighting of automotive structures results in the replacement of traditional metals with composites. Adhesive bonding is the best joining solution for composite components owing to its superior stress distribution and lightweighting. However, adhesive and adhesiveadhered interfaces are the weakest links in the structure. During fatigue crack propagation, joints do not show any significant visual changes. Thus, fatigue damage in adhesive bond lines is one of the challenging and complex failure mechanisms that requires realtime diagnostic and prognostic techniques to avoid any catastrophic failure. This paper proposes an acoustic technique for realtime fatigue damage diagnosis and prognosis. Based on experimental guided wave modal analysis, symmetric mode at 85 kHz is found to be the most sensitive mode–frequency combination for fatigue monitoring of selected lapjoint specimens. Further, a hybrid datadriven damage propagation model is used to estimate the remaining useful life in the bond line. The developed techniques were successfully implemented and validated on a single lap joint under fatigue loading. Estimated damage levels and remaining useful life are in good agreement with reference measurements. Successful validation is an indicator of the potential application of this technology in automotive industries. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Diagnosis and Prognosis of Fatigue Damage in Adhesively Bonded Joints Using Ultrasound NonDestructive Evaluation | |
type | Journal Paper | |
journal volume | 5 | |
journal issue | 4 | |
journal title | Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems | |
identifier doi | 10.1115/1.4055475 | |
journal fristpage | 41008 | |
journal lastpage | 410088 | |
page | 8 | |
tree | Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2022:;volume( 005 ):;issue: 004 | |
contenttype | Fulltext | |