Open Access System for Information Sharing

Login Library

 

Article
Cited 4 time in webofscience Cited 5 time in scopus
Metadata Downloads

Detection of micro inclusions in steel sheets using high-frequency ultrasound speckle analysis SCIE SCOPUS

Title
Detection of micro inclusions in steel sheets using high-frequency ultrasound speckle analysis
Authors
Kim, YeonggeunKim, JongbeomAhn, JoonghoHan, MoongyuLim, Hae GyunLee, Ki JongLee, JuseungKim, ChulhongKim, Hyung Ham
Date Issued
2021-10
Publisher
Nature Publishing Group
Abstract
AbstractWith the increasing need for steel sheet quality assurance, the detection of micro-scaled inclusions in steel sheets has become critical. Many techniques have been explored to detect inclusions, e.g., visual inspection, radiography, magnetic testing, and ultrasound. Among these methods, ultrasound (US) is the most commonly used non-destructive testing (NDT) method due to its ease of use and deep penetration depth. However, ultrasound currently cannot be used for detecting the micro-scaled inclusions due to low spatial resolution, e.g., less than 30 μm, which are the key important factors causing the cracks in the high-quality steel sheets. Here, we demonstrate a high-resolution US imaging (USI) using high-frequency US transducers to image micro inclusions in steel sheets. Our system utilizes through-transmission USI and identifies ultrasound scattering produced by the inclusions. We first ultrasonically imaged the artificial flaws induced by the laser on the steel sheet surface for validating the system. We then imaged the real inclusions in the steel sheets formed during manufacturing processes and analyzed them to derive quantitative parameters related to the number of micro-scaled inclusions. Our results confirm that inclusions less than 30 μm can be identified using our high-resolution USI modality and has the potential to be used as an effective tool for quality assurance of the steel sheets.
URI
https://oasis.postech.ac.kr/handle/2014.oak/107347
DOI
10.1038/s41598-021-99907-4
ISSN
2045-2322
Article Type
Article
Citation
Scientific Reports, vol. 11, no. 1, 2021-10
Files in This Item:
There are no files associated with this item.

qr_code

  • mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher

김철홍KIM, CHULHONG
Dept of Electrical Enginrg
Read more

Views & Downloads

Browse