Ultra-Compact Eddy Current Transducer for Corrosion Defect Search in Steel Pipes

Abstract

This research is devoted to the application of non-destructive testing methods for detecting defects of the internal structure of the material in steel pipelines. Despite the use of modern approaches to the design and manufacture of pipelines, which make it possible to lay a significant margin of safety in the created system, the task of developing new approaches to measuring the technical and operational characteristics and parameters of steel parts using software and hardware complexes for non-destructive testing does not lose its relevance. The paper presents the results of the development of defect detection system aimed at detecting damage of the structure of the material with a diameter of 0.2 mm and located at a depth of up to 2 mm. The proposed system is based on the physical principles of the influence of the existing defect on the value of the transformer voltage, which is induced in the measurement circuit of the sensor built on eddy current effects. The focus of the research is the relationship between the linear dimensions of the defect, its location and the generated voltage indications of the developed sensor. Also, within the framework of the study, the results of processing and analysis of the data collected by the defect detection system are presented, the result of which was the determination of the parameters of the detected defects.

Increasing the wear resistance of autotractor equipment parts

“…D is the cylindrical stiffness of the plate, ω is the desired shaft deflection. Determining the optimal conditions for applying a ceramic coating requires research at the pre-production stage [16,17].…”

Study of the wear resistance of hardened harrows of agricultural machines

“…Existing control methods have limited capabilities to assess the degree of wear. For example, the vibration method and the acoustic emission (AE) method are primarily designed to detect and diagnose local damage, rather than to monitor integral wear [5][6][7]. Wear product analysis (WDA) is a more efficient technology compared to the acoustic emission method and has demonstrated extensive possibilities for assessing the wear mechanism based on such characteristics of wear products as their size, quantity, morphology and color [8][9][10].…”

An Efficient Ship-Detection Algorithm Based on the Improved YOLOv5

“…In recent years, target-detection algorithms have been widely studied in the fields of pedestrian detection [10][11][12][13][14], object tracking [15][16][17], face detection [18,19], stereo images [20][21][22], car detection [23][24][25], defect detection [26,27], semantic detection [28,29], and hyperspectral-anomaly detection [30,31]. However, there are certain limitations in their practical application, particularly due to the problems of poor small-target-detection performance and target occlusion.…”