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Detection, Verification and Analysis of Micro Surface Defects in steel Filament Using Eddy Current Principles, Scanning Electron Microscopy and Energy-dispersive Spectroscopy
Tran, K.S.; Shirinzadeh, B.; Ehrampoosh, A.; Zhao, P.; Shi, Y. Detection, Verification and Analysis of Micro Surface Defects in Steel Filament Using Eddy Current Principles, Scanning Electron Microscopy and Energy-Dispersive Spectroscopy. Sensors2023, 23, 8873.
Tran, K.S.; Shirinzadeh, B.; Ehrampoosh, A.; Zhao, P.; Shi, Y. Detection, Verification and Analysis of Micro Surface Defects in Steel Filament Using Eddy Current Principles, Scanning Electron Microscopy and Energy-Dispersive Spectroscopy. Sensors 2023, 23, 8873.
Tran, K.S.; Shirinzadeh, B.; Ehrampoosh, A.; Zhao, P.; Shi, Y. Detection, Verification and Analysis of Micro Surface Defects in Steel Filament Using Eddy Current Principles, Scanning Electron Microscopy and Energy-Dispersive Spectroscopy. Sensors2023, 23, 8873.
Tran, K.S.; Shirinzadeh, B.; Ehrampoosh, A.; Zhao, P.; Shi, Y. Detection, Verification and Analysis of Micro Surface Defects in Steel Filament Using Eddy Current Principles, Scanning Electron Microscopy and Energy-Dispersive Spectroscopy. Sensors 2023, 23, 8873.
Abstract
In the current industrial revolution, advanced technologies and methods can be effectively utilized for the detection and verification of defects in high-speed steel filament production. This paper introduces an innovative methodology for the precise detection and verification of micro surface defects found in steel filaments through the application of the Eddy current principle. Permanent magnets are employed to generates a magnetic field with high frequency surrounding a coil of sensor positioned at the filament's output end. The sensor's capacity to detect defects is validated through a meticulous rewinding process, followed by a thorough analysis involving scanning electron microscopy (SEM) and energy-dispersive spectroscopy (EDS). Artificial defects were intentionally introduced into a sample, and their amplitudes were monitored to establish a threshold value. The amplitude signal of these created defect was identified at approximately 10% FSH, which corresponds to a crack depth of about 20 µm. In the experimental production of 182 samples covering 38 km, the defect ratio was notably high, standing at 26.37%. These defects appeared randomly along the length of the samples. The verification results underscore the exceptional precision achieved in the detection of micro surface defects within steel filaments. These defects were primarily characterized by longitudinal scratches and inclusions containing physical tungsten carbide.
Engineering, Industrial and Manufacturing Engineering
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