Electromagnetic Nondestructive Testing

doi:10.3390/books978-3-7258-0774-1

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Electromagnetic Nondestructive Testing

Edited by

April 2024

198 pages

ISBN978-3-7258-0773-4 (Hardback)
ISBN978-3-7258-0774-1 (PDF)

https://doi.org/10.3390/books978-3-7258-0774-1

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This book is a reprint of the Special Issue Electromagnetic Nondestructive Testing that was published in

Chemistry & Materials Science

Engineering

Physical Sciences

Summary

This reprint focuses on the latest electromagnetic nondestructive testing technology and its applications, including magnetic flux leakage testing, eddy current testing, remote field eddy current testing, pulsed eddy currents, magnetic Barkhausen noise testing, electromagnetic acoustic transducer testing, etc. With the development of electromagnetic nondestructive testing, defect quantification and 3D imaging have become possible. The subject of detection has been extended from macroscopic defects to microscopic stresses, covering the whole course of a failure. Special attention is given to the fusion of multiple methods, new feature extraction methods, and new signal processing methods with artificial intelligence.

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Hardback

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Keywords

PPM EMAT; guided wave; pipe bend; aluminum pipe; defect; aircraft long truss structure; crack detection; remote field eddy current; finite element simulation; nondestructive testing; pulsed eddy current; stainless steel core panel; brazing defect; non-destructive testing; near-field radiofrequency imaging; compressed sensing; deep learning; blowout preventer; gasket ring groove; ultrasonic phased array detection; structural echo; defect echo; MFL; NDT; sensor; magnetic dipole model; high speed; liftoff; magnetizer; inverse problem; artificial neural network; radio frequency identification; sensor tags; structural health monitoring; battery-less; applications; structural health prognostics; nondestructive testing (NDT); nondestructive evaluation (NDE); eddy current testing (ECT); carbon fiber-reinforced composites; differential eddy current probe; hidden flaws detection; magnetic Barkhausen noise; grinding burn; induction hardened layer; hardened layer depth; excitation frequency; ram blowout preventer; top seal; corrosion defect; wear defect; sealing performance; multifrequency excitation and spectrogram eddy current testing; nondestructive testing; k-Nearest Neighbors (k-NN) algorithm; eddy currents; finite element analysis; numerical simulations