Design of amplitude and phase demodulation circuit based on TMR and detection of crack defects

Yan Yang; Minghui Hu

doi:10.1117/12.2640179

9 May 2022 Design of amplitude and phase demodulation circuit based on TMR and detection of crack defects

Yan Yang, Minghui Hu

Proceedings Volume 12252, International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI); 1225209 (2022) https://doi.org/10.1117/12.2640179
Event: International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI), 2022, Guangzhou, China

Abstract

In order to demodulate the voltage signal output by the eddy current detection sensor, an amplitude and phase demodulation circuit suitable for the low frequency range (20k) is designed, and the phase shift error is controlled within ±0.5%. The amplitude-phase demodulation circuit is used in a self-designed tunnel magnetoresistive sensor (TMR) probe based on magnetic shielding, and the detection of crack-type defects of different sizes on the surface of 6061 aluminum alloy plate is realized. The experimental results show that the amplitude and phase demodulation circuit can effectively demodulate the amplitude and phase information of the signal to be measured, and the phase information is hardly affected by the excitation current and is sensitive to the excitation frequency. The optimal excitation frequency for phase orientation in the experiment is 5kHz. The demodulated amplitude and phase information can characterize the crack defects of different lengths (10mm, 20mm, 30mm) and different depths (1-5mm) on the 6061 aluminum alloy plate. Whether it is the voltage amplitude or the phase result, when the defect depth is within 3mm, the output is approximately linearly related to the defect depth.

Citation Download Citation

Yan Yang and Minghui Hu "Design of amplitude and phase demodulation circuit based on TMR and detection of crack defects", Proc. SPIE 12252, International Conference on Biometrics, Microelectronic Sensors, and Artificial Intelligence (BMSAI), 1225209 (9 May 2022); https://doi.org/10.1117/12.2640179

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available