Location

La Jolla, CA

Start Date

1-1-1998 12:00 AM

Description

Application of electromagnetic acoustic transducers (EMATs) to nondestructive testing has a potential advantage over conventional ultrasonic testing, because EMATs require no contact between a transducer and a test specimen. So far there have been various studies dealing with theoretical basic analysis for understanding physical phenomena of EMATs[1], numerical approaches for design optimization of EMAT systems [2], and their industrial applications [3]. Though flaw detection by using ultrasonic waves generated by either conventional transducers or EMATs usually utilizes only echoes from flaws as detected information, noncontactness of EMATs, leading to easy theoretical formulation of wave generation or detection, can make EMAT testing a promising method of flaw identification through thorough inverse analysis of detected wave signals.

Book Title

Review of Progress in Quantitative Nondestructive Evaluation

Volume

17A

Chapter

Chapter 1: Standard Techniques

Section

Guided Waves and Applications

Pages

145-152

DOI

10.1007/978-1-4615-5339-7_18

Language

en

File Format

application/pdf

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Jan 1st, 12:00 AM

Effects of a Flaw on Acoustic Wave Propagation by an EMAT System

La Jolla, CA

Application of electromagnetic acoustic transducers (EMATs) to nondestructive testing has a potential advantage over conventional ultrasonic testing, because EMATs require no contact between a transducer and a test specimen. So far there have been various studies dealing with theoretical basic analysis for understanding physical phenomena of EMATs[1], numerical approaches for design optimization of EMAT systems [2], and their industrial applications [3]. Though flaw detection by using ultrasonic waves generated by either conventional transducers or EMATs usually utilizes only echoes from flaws as detected information, noncontactness of EMATs, leading to easy theoretical formulation of wave generation or detection, can make EMAT testing a promising method of flaw identification through thorough inverse analysis of detected wave signals.