Back to Search
Start Over
Inversion of Lift-Off Distance and Thickness for Nonmagnetic Metal Using Eddy Current Testing
- Source :
- IEEE Transactions on Instrumentation and Measurement. 70:1-8
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- For the electromagnetic eddy current (EC) testing, various methods have been proposed for reducing the lift-off error on the measurement of samples. In this article, instead of eliminating the measurement error caused by the lift-off effect, an algorithm has been proposed to directly measure the lift-off distance between the sensor and nonmagnetic conductive plates. The algorithm is based on a sample-independent inductance (SII) feature. That is, under high working frequencies, the inductance is found to be sensitive to the lift-off distance and independent of the test piece under an optimal single high working frequency (43.87 kHz). Furthermore, the predicted lift-off distance is used for the thickness prediction of the nonmagnetic conductive samples using an iterative method. Considering the EC skin depth, the thickness prediction is operated under a single lower frequency (0.20 kHz). As the inductance has different sensitivities to the lift-off and thickness, the prediction error of the sample thickness is different from that of the lift-off distance. From the experiments on three different nonmagnetic samples—aluminum, copper, and brass, the maximum prediction error of the lift-off distance and sample thickness is 1.1 mm and 5.42%, respectively, at the lift-off of 12.0 mm.
- Subjects :
- Materials science
Observational error
Eddy-current sensor
business.industry
Acoustics
020208 electrical & electronic engineering
02 engineering and technology
law.invention
Inductance
Lift (force)
law
Nondestructive testing
Eddy-current testing
0202 electrical engineering, electronic engineering, information engineering
Eddy current
Electrical and Electronic Engineering
business
Instrumentation
Electrical conductor
Subjects
Details
- ISSN :
- 15579662 and 00189456
- Volume :
- 70
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Instrumentation and Measurement
- Accession number :
- edsair.doi...........2273d2a81ab98f88fd4375bfce7ca373
- Full Text :
- https://doi.org/10.1109/tim.2020.3038289