Vision-based inspection for periodic defects in steel wire rod production

Park, Chang-Hyun; Choi, Seho; Won, Sangchul

doi:10.1117/1.3284779

Cited by 18 publications

(4 citation statements)

References 19 publications

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“…In the said study, the detection is performed taking into account the characteristics of each surface defect and also its position. Moreover, Park et al [26] proposes two methods for detecting and identifying periodical defects in steel wire rods. Their detection is performed using a Discrete Wavelet Transform, and their identification is carried out using a Discrete Fourier Transform.…”

Section: Related Workmentioning

confidence: 99%

Vision-Based Sensor for Early Detection of Periodical Defects in Web Materials

Bulnes

Usamentiaga

García

et al. 2012

Sensors

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During the production of web materials such as plastic, textiles or metal, where there are rolls involved in the production process, periodically generated defects may occur. If one of these rolls has some kind of flaw, it can generate a defect on the material surface each time it completes a full turn. This can cause the generation of a large number of surface defects, greatly degrading the product quality. For this reason, it is necessary to have a system that can detect these situations as soon as possible. This paper presents a vision-based sensor for the early detection of this kind of defects. It can be adapted to be used in the inspection of any web material, even when the input data are very noisy. To assess its performance, the sensor system was used to detect periodical defects in hot steel strips. A total of 36 strips produced in ArcelorMittal Avilés factory were used for this purpose, 18 to determine the optimal configuration of the proposed sensor using a full-factorial experimental design and the other 18 to verify the validity of the results. Next, they were compared with those provided by a commercial system used worldwide, showing a clear improvement.

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Section: Related Workmentioning

confidence: 99%

Vision-Based Sensor for Early Detection of Periodical Defects in Web Materials

Bulnes

Usamentiaga

García

et al. 2012

Sensors

View full text Add to dashboard Cite

show abstract

“…To achieve this goal, several inspection approaches using cutting-edge technologies have been developed to enhance product quality, overall equipment effectiveness, cycle time, etc. Among the various inspection technologies, vision-based monitoring is a common approach used to detect defects in different steel wire [31][32][33]. However, image technology alone is in sufficient for the efficient examination or prevention of unacceptable products from being sent to the market, given the large production volume and the diverse range of defects' shapes on the surface, as opposed to the limited shapes of reference samples.…”

Section: Introductionmentioning

confidence: 99%

Detection, Verification and Analysis of Micro Surface Defects in steel Filament Using Eddy Current Principles, Scanning Electron Microscopy and Energy-dispersive Spectroscopy

Tran,

Shirinzadeh,

Ehrampoosh

et al. 2023

Preprint

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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.

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“…[1][2][3][4] These methods are especially effective for surface defect images with local intensity variations. Since surface properties of the raw steel affect the quality of the final products, various automatic methods for detecting surface defects have been developed recently.…”

Section: Introductionmentioning

confidence: 99%

Development of an inspection system for planar steel surface using multispectral photometric stereo

2013

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We address the methodology and hardware design for detecting defects on a steel surface. The goal of this work is to develop a surface inspection system for defects with three-dimensional (3-D) characteristics on planar steel surface using multispectral photometric stereo technique. First, the reflections of multispectral illuminations from a steel surface are captured by a multi-channel camera system. Then, a 3-D reconstructed surface profile is extracted from estimated gradient fields. The developed system is applied to real steel specimens and the experimental results show that it can reliably detect tiny defects on the surface. © 2013 Society of Photo-Optical Instrumentation Engineers (SPIE) Fig. 3 Side view of the reconstructed surfaces using various algorithms: (a) top view of the surface defect, (b) the presented method, (c) Frankot-Chellappa, 14 (d) shapelet, 15 (e) affine transformation, 16 and (f) least-squares. 17 Optical Engineering 039701-3 March 2013/Vol. 52(3) Kang, Jang, and Won: Development of an inspection system for planar steel surface. . . Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 05/16/2015 Terms of Use: http://spiedl.org/terms Fig. 7 Reconstruction result of the steel surface. Optical Engineering 039701-6 March 2013/Vol. 52(3) Kang, Jang, and Won: Development of an inspection system for planar steel surface. . . Downloaded From: http://opticalengineering.spiedigitallibrary.org/ on 05/16/2015 Terms of Use: http://spiedl.org/terms

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Vision-based inspection for periodic defects in steel wire rod production

Cited by 18 publications

References 19 publications

Vision-Based Sensor for Early Detection of Periodical Defects in Web Materials

Vision-Based Sensor for Early Detection of Periodical Defects in Web Materials

Detection, Verification and Analysis of Micro Surface Defects in steel Filament Using Eddy Current Principles, Scanning Electron Microscopy and Energy-dispersive Spectroscopy

Development of an inspection system for planar steel surface using multispectral photometric stereo

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