Application of Digital Image Processing Techniques to Detect Through-Thickness Crack in Hole Expansion Test

Advanced high-strength steels (AHSS) have become increasingly popular in the automotive industry due to their high yield and ultimate tensile strengths, enabling the production of lighter car body structures while meeting safety standards. However, they have some setbacks compared to conventional st...

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Main Authors: Daniel J. Cruz, Rui L. Amaral, Abel D. Santos, João Manuel R. S. Tavares
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Metals
Subjects:
Online Access:https://www.mdpi.com/2075-4701/13/7/1197
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author Daniel J. Cruz
Rui L. Amaral
Abel D. Santos
João Manuel R. S. Tavares
author_facet Daniel J. Cruz
Rui L. Amaral
Abel D. Santos
João Manuel R. S. Tavares
author_sort Daniel J. Cruz
collection DOAJ
description Advanced high-strength steels (AHSS) have become increasingly popular in the automotive industry due to their high yield and ultimate tensile strengths, enabling the production of lighter car body structures while meeting safety standards. However, they have some setbacks compared to conventional steels, such as edge cracking through sheet thickness caused by forming components with shear-cut edges. When characterizing the formability of sheet metal materials, the hole expansion test is an industry-standard method used to evaluate the stretch-flangeability of their edges. However, accurately visualizing the first cracking is usually tricky and may be subjective, often leading to inconsistent results and low reproducibility with some impact of the operator on both direct and post-processing measurements. To address these issues, a novel digital image processing method is presented to reduce operator reliance and enhance the accuracy and efficiency of the hole expansion test results. By leveraging advanced image processing algorithms, the proposed approach detects the appearance of the first edge cracks, enabling a more precise determination of the hole expansion ratio (HER). Furthermore, it provides valuable insights into the evolution of the hole diameter, allowing for a comprehensive understanding of the material behavior during the test. The proposed method was evaluated for different materials, and the corresponding HER values were compared with the traditional method.
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spelling doaj.art-d5f5a38661b34d1495797f889716bc292023-11-18T20:29:16ZengMDPI AGMetals2075-47012023-06-01137119710.3390/met13071197Application of Digital Image Processing Techniques to Detect Through-Thickness Crack in Hole Expansion TestDaniel J. Cruz0Rui L. Amaral1Abel D. Santos2João Manuel R. S. Tavares3Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Campus da FEUP, R. Dr. Roberto Frias 400, 4200-465 Porto, PortugalInstituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Campus da FEUP, R. Dr. Roberto Frias 400, 4200-465 Porto, PortugalInstituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Campus da FEUP, R. Dr. Roberto Frias 400, 4200-465 Porto, PortugalInstituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Campus da FEUP, R. Dr. Roberto Frias 400, 4200-465 Porto, PortugalAdvanced high-strength steels (AHSS) have become increasingly popular in the automotive industry due to their high yield and ultimate tensile strengths, enabling the production of lighter car body structures while meeting safety standards. However, they have some setbacks compared to conventional steels, such as edge cracking through sheet thickness caused by forming components with shear-cut edges. When characterizing the formability of sheet metal materials, the hole expansion test is an industry-standard method used to evaluate the stretch-flangeability of their edges. However, accurately visualizing the first cracking is usually tricky and may be subjective, often leading to inconsistent results and low reproducibility with some impact of the operator on both direct and post-processing measurements. To address these issues, a novel digital image processing method is presented to reduce operator reliance and enhance the accuracy and efficiency of the hole expansion test results. By leveraging advanced image processing algorithms, the proposed approach detects the appearance of the first edge cracks, enabling a more precise determination of the hole expansion ratio (HER). Furthermore, it provides valuable insights into the evolution of the hole diameter, allowing for a comprehensive understanding of the material behavior during the test. The proposed method was evaluated for different materials, and the corresponding HER values were compared with the traditional method.https://www.mdpi.com/2075-4701/13/7/1197edge crackinghole expansion ratioadaptive image binarizationcircular hough transformadvanced high-strength steels
spellingShingle Daniel J. Cruz
Rui L. Amaral
Abel D. Santos
João Manuel R. S. Tavares
Application of Digital Image Processing Techniques to Detect Through-Thickness Crack in Hole Expansion Test
Metals
edge cracking
hole expansion ratio
adaptive image binarization
circular hough transform
advanced high-strength steels
title Application of Digital Image Processing Techniques to Detect Through-Thickness Crack in Hole Expansion Test
title_full Application of Digital Image Processing Techniques to Detect Through-Thickness Crack in Hole Expansion Test
title_fullStr Application of Digital Image Processing Techniques to Detect Through-Thickness Crack in Hole Expansion Test
title_full_unstemmed Application of Digital Image Processing Techniques to Detect Through-Thickness Crack in Hole Expansion Test
title_short Application of Digital Image Processing Techniques to Detect Through-Thickness Crack in Hole Expansion Test
title_sort application of digital image processing techniques to detect through thickness crack in hole expansion test
topic edge cracking
hole expansion ratio
adaptive image binarization
circular hough transform
advanced high-strength steels
url https://www.mdpi.com/2075-4701/13/7/1197
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