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contributor authorLai, Quanqing
contributor authorXu, Caibin
contributor authorWang, Gonglin
contributor authorDeng, Mingxi
date accessioned2025-04-21T10:06:08Z
date available2025-04-21T10:06:08Z
date copyright9/30/2024 12:00:00 AM
date issued2024
identifier issn2572-3901
identifier othernde_8_2_021007.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4305498
description abstractAging degradation is the main form of failure of rubber in service, leading to a decline in its physical and mechanical properties. This paper presents an efficient method for assessing the aging degradation of rubber using the quasi-static component (QSC) of ultrasonic longitudinal waves induced by acoustic radiation. The experiments quantitatively observe the response of the QSC pulse to different levels of aging degradation. A pulse-echo ultrasonic transducer is employed to simultaneously capture the primary longitudinal wave (PLW) and QSC echoes, enabling the determination of the acoustic nonlinearity parameter of QSC with a single transducer excitation. The results suggest that, in comparison to traditional linear ultrasonic techniques based on attenuation coefficient and wave velocity measurements, the relative acoustic nonlinear parameter of QSC proves to be more sensitive to aging degradation in rubber. Particularly, the amplitude of the QSC pulse undergoes a significant change with increasing aging degradation, even when the PLW tone burst is completely attenuated. These findings confirm the effectiveness of QSC as a method for evaluating aging degradation in highly attenuative materials.
publisherThe American Society of Mechanical Engineers (ASME)
titleAssessment of Aging Degradation in Rubber Using Quasi-Static Components of Ultrasonic Longitudinal Waves
typeJournal Paper
journal volume8
journal issue2
journal titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
identifier doi10.1115/1.4066490
journal fristpage21007-1
journal lastpage21007-7
page7
treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2024:;volume( 008 ):;issue: 002
contenttypeFulltext


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