Abstract
Trains are used as the fastest mode of transportation for both people and cargo. The train moves along a special path called “rail”, where fatigue can be accumulated due to wheel-rail contact load as a result of continuous train operation. Consistent and regularly scheduled safety management is required since corrosion rate of the rails located on outside environment is very high. Researchers have actively investigated and developed rail defect inspection systems employing non-destructive techniques to address these problems. In particular, the eddy current inspection technique does not involve contact with the surface of the test specimen and offers the advantage of excellent rail defect detection sensitivity. Therefore, a 16 Channel array eddy current inspection device was developed to inspect the surface defects of the rail. An equation was derived to predict the correlation between the depth and phase of an artificial defect using the eddy current inspection device, and the derived equation was applied to the natural defect specimen.
Highlights
Railway tracks are required for trains to move, and rails are composed of supports, sleepers, and roadbeds to distribute the train’s load
Two-dimensional and three-dimensional rail surface shapes were obtainable through separate software, and a relational expression for analyzing the depth of the defect was derived by manufacturing artificial defects on the rail surface
An artificial defect was installed on the UIC60 rail surface, and using a
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. In land transport inspection, it is difficult to determine defects occurring inside the rail, and there is a limit to the area that can be inspected. Another non-destructive method of detecting defects is ultrasonic testing. Developed eddy current flaw detection equipment is designed in a structure that cannot inspect the entire head of the rail using a small number of sensors. The number of sensors was optimized by manufacturing a Plus-Point coil so that flaw detection could be performed regardless of the direction of the defect, and a total of 16 eddy current sensors were used to inspect the entire head of the rail. Two-dimensional and three-dimensional rail surface shapes were obtainable through separate software, and a relational expression for analyzing the depth of the defect was derived by manufacturing artificial defects on the rail surface
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