TY - JOUR
T1 - Identification of a Flaw Using Electromagnetic Acoustic Transducers
T2 - Quantification Based on an Approach of Inverse Analysis
AU - Maruyama, Shinichi
AU - Sugiura, Toshihiko
AU - Inoue, Akihiro
AU - Yoshizawa, Masatsugu
N1 - Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2001
Y1 - 2001
N2 - Electromagnetic acoustic transducers (EMATs) can transmit and detect ultrasonic waves in a conductive specimen out of any contact with it. This process can be given theoretical modeling and formulation based on elastodynamics and electromagnetics. It suggests the possibility of quantitative nondestructive evaluation using EMATs. This research deals with a numerical method of flaw identification from a receiver signal obtained by EMATs. Experimental results of receiver signals agree well with numerical ones, which verified the mathematical model of the inspection process. Flaw identification is formulated as a problem of parameter optimization. To avoid being trapped in a local optimum, initial parameters were successfully evaluated from the height and the time period of peaks in the receiver signals. Flaw parameters were identified from receiver signals obtained from numerical simulations and experiments, which verified the method of flaw identification presented here.
AB - Electromagnetic acoustic transducers (EMATs) can transmit and detect ultrasonic waves in a conductive specimen out of any contact with it. This process can be given theoretical modeling and formulation based on elastodynamics and electromagnetics. It suggests the possibility of quantitative nondestructive evaluation using EMATs. This research deals with a numerical method of flaw identification from a receiver signal obtained by EMATs. Experimental results of receiver signals agree well with numerical ones, which verified the mathematical model of the inspection process. Flaw identification is formulated as a problem of parameter optimization. To avoid being trapped in a local optimum, initial parameters were successfully evaluated from the height and the time period of peaks in the receiver signals. Flaw parameters were identified from receiver signals obtained from numerical simulations and experiments, which verified the method of flaw identification presented here.
KW - Electromagnetic Acoustic Transducer (EMAT)
KW - Electromagnetic Induced Vibration
KW - Finite Element Method
KW - Identification
KW - Inverse Problem
KW - Nondestructive Inspection
KW - Super Sonic Wave
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U2 - 10.1299/kikaic.67.3445
DO - 10.1299/kikaic.67.3445
M3 - Article
AN - SCOPUS:85024446247
SN - 0387-5024
VL - 67
SP - 3445
EP - 3453
JO - Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
JF - Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
IS - 663
ER -