LAUSR

In oil mining system, stress cracks on thread usually lead to drill pipe failure. To maintain normal operation of drill pipes, the thread needs to be nondestructively tested. However, due to complicated structure, it is challenging to identify and quantify the cracks the using existing nondestructive testing (NDT) methods. In this article, a scanning induction thermography (SIT) system for automatic detection of drill pipe thread (DPT) is presented. Specifically, a profiling heating method (PHM) is proposed to produce uniform heating on the root part of thread tooth where most of the stress cracks occur. A weighted least squares fitting (WLSF)-based difference algorithm is used to eliminate the background temperature of scanning data. The algorithm can extract crack thermal response with the influence of lift-off distance change and marginal effect of electric field in SIT. Experiments show that the proposed system can obtain 3k thermal contrast between crack and defective-free area when testing the crack with only 0.3 mm depth. Three SIT systems with other heating methods are also used for comparison. Better heating uniformity, signal intensity, robustness of structural change, linear property with depth information, and signal consistency when testing similar cracks in different areas of the root part can be demonstrated in the proposed system.