Lamb Wave Based Ultrasonic Technique for AA2024 Fatigue Evaluation; Key Engineering Materials; Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015)

Xehetasun bibliografikoak
Parent link:Key Engineering Materials: Scientific Journal
Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015).— 2016.— [P. 399-402]
Erakunde egilea: Национальный исследовательский Томский политехнический университет (ТПУ) Институт физики высоких технологий (ИФВТ) Кафедра материаловедения в машиностроении (ММС)
Beste egile batzuk: Burkov M. V. Mikhail Vladimirovich, Eremin A. V. Alexandr Vyacheslavovich, Byakov A. V. Anton Viktorovich, Shah R. T., Lyubutin P. S. Pavel Stepanovich, Panin S. V. Sergey Viktorovich
Gaia:Title screen
Experimental results of Lamb wave technique investigation for evaluation of fatigue state of AA2024T3 specimens under cyclic loading conditions are presented. Analysis of acoustic signal data obtained by the piezoelectric transducers network was done through the calculation of two parameters: maximum envelope and 2nd central moment. Understanding of relations between acoustic signals features and emergent damages will provide the ability to determine the state of the structure and evaluate the defects, therefore assume the preventative measures and avoid accidents.
Режим доступа: по договору с организацией-держателем ресурса
Hizkuntza:ingelesa
Argitaratua: 2016
Saila:Mechanical Engineering Technology
Gaiak:
Sarrera elektronikoa:http://dx.doi.org/10.4028/www.scientific.net/KEM.685.399
Formatua: Baliabide elektronikoa Liburu kapitulua
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=646452

MARC

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330 |a Experimental results of Lamb wave technique investigation for evaluation of fatigue state of AA2024T3 specimens under cyclic loading conditions are presented. Analysis of acoustic signal data obtained by the piezoelectric transducers network was done through the calculation of two parameters: maximum envelope and 2nd central moment. Understanding of relations between acoustic signals features and emergent damages will provide the ability to determine the state of the structure and evaluate the defects, therefore assume the preventative measures and avoid accidents. 
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