Influencesand Optimization of Excitation Structure of Magnetic Flux Leakage Sensor

doi:10.3901/JME.2018.24.007

Abstract

Abstract: The magnetizing ability of excitation structureshas great influence on the detectability of magnetic flux leakage sensor.According to the method of AC magnetic leakage detection, a parametric finite element model of magnetic flux leakage detection is established. The influences of the shape and size of the magnetic yoke, the position of the exciting coil, the winding length and the thickness of the magnetic shielding layer on the detection signal are investigated. In addition, an optimization method of the size of the excitation structure is developed by combining parametric finite element analysis with genetic algorithm.The distance between the magnetic poles and the width of the magnetic pole is optimized. The simulation and test results show that the excitation structure has a great influence on the results of magnetic flux leakage testing, and the optimized magnetic excitation structure is helpful to improve the detection performance of the magnetic flux leakage sensor. The proposed optimization method provides a feasible method for improving the performance of magnetic flux leakage sensors.

Key words: excitation system, genetic algorithm, magnetic flux leakage sensor, non-destructive testing, parameterized finite element analysis

CLC Number:

TH878
TM154

CHANG Yu, JIAO Jingpin, LI Guanghai, HE Cunfu, WU Bin. Influencesand Optimization of Excitation Structure of Magnetic Flux Leakage Sensor[J]. Journal of Mechanical Engineering, 2018, 54(24): 7-17.

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