A model to predict the ultrasonic field radiated by magnetostrictive effects induced by EMAT in ferromagnetic parts

15th Anglo-French Physical Acoustics Conference

Clausse, B.^1 ; Lhémery, A.^1 ; Walaszek, H.^2

CEA LIST, Gif-sur-Yvette

F-91191, France^1

CETIM, Senlis

F-60304, France^2

关键词: Dynamic magnetic fields;    Electromagnetic acoustic transducers;    External magnetic field;    Magnetoelastic couplings;    Magnetoelastic interactions;    Magnetostrictive effect;    Magnetostrictive strain;    Surface distributions;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/797/1/012004/pdf
DOI  :  10.1088/1742-6596/797/1/012004

来源: IOP

【 摘 要 】

An Electro-Magnetic Acoustic Transducer (EMAT) is a non-contact source used in Ultrasonic Testing (UT) which generates three types of dynamic excitations into a ferromagnetic part: Lorentz force, magnetisation force, and magnetostrictive effect. This latter excitation is a strain resulting from a magnetoelastic interaction between the external magnetic field and the mechanical part. Here, a tensor model is developed to transform this effect into an equivalent body force. It assumes weak magnetoelastic coupling and a dynamic magnetic field much smaller than the static one. This approach rigorously formulates the longitudinal Joule's magnetostriction, and makes it possible to deal with arbitrary material geometries and EMAT configurations. Transduction processes induced by an EMAT in ferromagnetic media are then modelled as equivalent body forces. But many models developed for efficiently predicting ultrasonic field radiation in solids assume source terms given as surface distributions of stress. To use these models, a mathematical method able to accurately transform these body forces into equivalent surface stresses has been developed. By combining these formalisms, the magnetostrictive strain is transformed into equivalent surface stresses, and the ultrasonic field radiated by magnetostrictive effects induced by an EMAT can be both accurately and efficiently predicted. Numerical examples are given for illustration.