Metal pitting corrosion characterized by scanning acoustic microscopy and binary image processing
[Display omitted] •SAM for detecting the localized corrosion degree of the metal under the rust layer is firstly reported.•Combined TAMI scanning with image processing method, the pitting depth can be characterized.•Under the C-scanning mode, one single pit on the 7050 aluminum alloy can be focused....
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| Veröffentlicht in: | Corrosion science 2020-07, Vol.170, p.108685, Article 108685 |
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| container_start_page | 108685 |
| container_title | Corrosion science |
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| creator | Zhu, Yu Wang, Lixiang Behnamian, Yashar Song, Shizhe Wang, Ruiqi Gao, Zhiming Hu, Wenbin Xia, Da-Hai |
| description | [Display omitted]
•SAM for detecting the localized corrosion degree of the metal under the rust layer is firstly reported.•Combined TAMI scanning with image processing method, the pitting depth can be characterized.•Under the C-scanning mode, one single pit on the 7050 aluminum alloy can be focused.•This work provides practical methods on mechanism study of the localized corrosion process.
To evaluate the residual life and safe operation of metallic materials, it is crucial to accurately identify the intensity and depth of corrosion pits. Scanning acoustic microscopy (SAM) using tomographic acoustic microimaging (TAMI) under C-mode was employed to determine corrosion pit morphology and depth on aluminum alloy 7050, and the reults were cross-checked by optical microscopy. Maximum and average pitting depths of 204 μm and 80 μm, respectively, were determined by multilayer scannning, and a pitted area of 30 ∼ 40 % was calculated using binary image processing. |
| doi_str_mv | 10.1016/j.corsci.2020.108685 |
| format | Article |
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•SAM for detecting the localized corrosion degree of the metal under the rust layer is firstly reported.•Combined TAMI scanning with image processing method, the pitting depth can be characterized.•Under the C-scanning mode, one single pit on the 7050 aluminum alloy can be focused.•This work provides practical methods on mechanism study of the localized corrosion process.
To evaluate the residual life and safe operation of metallic materials, it is crucial to accurately identify the intensity and depth of corrosion pits. Scanning acoustic microscopy (SAM) using tomographic acoustic microimaging (TAMI) under C-mode was employed to determine corrosion pit morphology and depth on aluminum alloy 7050, and the reults were cross-checked by optical microscopy. Maximum and average pitting depths of 204 μm and 80 μm, respectively, were determined by multilayer scannning, and a pitted area of 30 ∼ 40 % was calculated using binary image processing.</description><identifier>ISSN: 0010-938X</identifier><identifier>EISSN: 1879-0496</identifier><identifier>DOI: 10.1016/j.corsci.2020.108685</identifier><language>eng</language><publisher>Amsterdam: Elsevier Ltd</publisher><subject>Acoustic microscopes ; Acoustics ; Aluminum base alloys ; Corrosion ; Image processing ; Microscopy ; Morphology ; Multilayers ; Optical microscopy ; Pitted area ; Pitting (corrosion) ; Pitting depth ; Scanning acoustic microscopy ; Scanning acoustic microscopy (SAM)</subject><ispartof>Corrosion science, 2020-07, Vol.170, p.108685, Article 108685</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright Elsevier BV Jul 1, 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c334t-1918f3c40d206f93665e594ec208433ec5b72b50051c8294d7c040b1dfc4f83a3</citedby><cites>FETCH-LOGICAL-c334t-1918f3c40d206f93665e594ec208433ec5b72b50051c8294d7c040b1dfc4f83a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.corsci.2020.108685$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Zhu, Yu</creatorcontrib><creatorcontrib>Wang, Lixiang</creatorcontrib><creatorcontrib>Behnamian, Yashar</creatorcontrib><creatorcontrib>Song, Shizhe</creatorcontrib><creatorcontrib>Wang, Ruiqi</creatorcontrib><creatorcontrib>Gao, Zhiming</creatorcontrib><creatorcontrib>Hu, Wenbin</creatorcontrib><creatorcontrib>Xia, Da-Hai</creatorcontrib><title>Metal pitting corrosion characterized by scanning acoustic microscopy and binary image processing</title><title>Corrosion science</title><description>[Display omitted]
•SAM for detecting the localized corrosion degree of the metal under the rust layer is firstly reported.•Combined TAMI scanning with image processing method, the pitting depth can be characterized.•Under the C-scanning mode, one single pit on the 7050 aluminum alloy can be focused.•This work provides practical methods on mechanism study of the localized corrosion process.
To evaluate the residual life and safe operation of metallic materials, it is crucial to accurately identify the intensity and depth of corrosion pits. Scanning acoustic microscopy (SAM) using tomographic acoustic microimaging (TAMI) under C-mode was employed to determine corrosion pit morphology and depth on aluminum alloy 7050, and the reults were cross-checked by optical microscopy. Maximum and average pitting depths of 204 μm and 80 μm, respectively, were determined by multilayer scannning, and a pitted area of 30 ∼ 40 % was calculated using binary image processing.</description><subject>Acoustic microscopes</subject><subject>Acoustics</subject><subject>Aluminum base alloys</subject><subject>Corrosion</subject><subject>Image processing</subject><subject>Microscopy</subject><subject>Morphology</subject><subject>Multilayers</subject><subject>Optical microscopy</subject><subject>Pitted area</subject><subject>Pitting (corrosion)</subject><subject>Pitting depth</subject><subject>Scanning acoustic microscopy</subject><subject>Scanning acoustic microscopy (SAM)</subject><issn>0010-938X</issn><issn>1879-0496</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kE9LxDAQxYMouK5-Aw8Bz10nTdptLoKI_2DFi4K3kE7TNWU3rUlWqJ_elHr2NDD83nszj5BLBisGrLzuVtj7gHaVQz6tqrIqjsiCVWuZgZDlMVkAMMgkrz5OyVkIHUAiGSyIfjFR7-hgY7RuS5OP74PtHcVP7TVG4-2PaWg90oDauYnR2B9CtEj3FhOM_TBS7RJjnfYjtXu9NXTwPZoQEn9OTlq9C-biby7J-8P9291Ttnl9fL673WTIuYgZk6xqOQpocihbycuyMIUUBnOoBOcGi3qd1wVAwbDKpWjWCAJq1rQo2oprviRXs2-K_jqYEFXXH7xLkSoXgpeiYEwmSszUdHrwplWDTxf7UTFQU5mqU3OZaipTzWUm2c0sM-mDb2u8SoRxaBrrDUbV9PZ_g1-SAIAr</recordid><startdate>20200701</startdate><enddate>20200701</enddate><creator>Zhu, Yu</creator><creator>Wang, Lixiang</creator><creator>Behnamian, Yashar</creator><creator>Song, Shizhe</creator><creator>Wang, Ruiqi</creator><creator>Gao, Zhiming</creator><creator>Hu, Wenbin</creator><creator>Xia, Da-Hai</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SE</scope><scope>8BQ</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JG9</scope></search><sort><creationdate>20200701</creationdate><title>Metal pitting corrosion characterized by scanning acoustic microscopy and binary image processing</title><author>Zhu, Yu ; Wang, Lixiang ; Behnamian, Yashar ; Song, Shizhe ; Wang, Ruiqi ; Gao, Zhiming ; Hu, Wenbin ; Xia, Da-Hai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c334t-1918f3c40d206f93665e594ec208433ec5b72b50051c8294d7c040b1dfc4f83a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Acoustic microscopes</topic><topic>Acoustics</topic><topic>Aluminum base alloys</topic><topic>Corrosion</topic><topic>Image processing</topic><topic>Microscopy</topic><topic>Morphology</topic><topic>Multilayers</topic><topic>Optical microscopy</topic><topic>Pitted area</topic><topic>Pitting (corrosion)</topic><topic>Pitting depth</topic><topic>Scanning acoustic microscopy</topic><topic>Scanning acoustic microscopy (SAM)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhu, Yu</creatorcontrib><creatorcontrib>Wang, Lixiang</creatorcontrib><creatorcontrib>Behnamian, Yashar</creatorcontrib><creatorcontrib>Song, Shizhe</creatorcontrib><creatorcontrib>Wang, Ruiqi</creatorcontrib><creatorcontrib>Gao, Zhiming</creatorcontrib><creatorcontrib>Hu, Wenbin</creatorcontrib><creatorcontrib>Xia, Da-Hai</creatorcontrib><collection>CrossRef</collection><collection>Corrosion Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><jtitle>Corrosion science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhu, Yu</au><au>Wang, Lixiang</au><au>Behnamian, Yashar</au><au>Song, Shizhe</au><au>Wang, Ruiqi</au><au>Gao, Zhiming</au><au>Hu, Wenbin</au><au>Xia, Da-Hai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Metal pitting corrosion characterized by scanning acoustic microscopy and binary image processing</atitle><jtitle>Corrosion science</jtitle><date>2020-07-01</date><risdate>2020</risdate><volume>170</volume><spage>108685</spage><pages>108685-</pages><artnum>108685</artnum><issn>0010-938X</issn><eissn>1879-0496</eissn><abstract>[Display omitted]
•SAM for detecting the localized corrosion degree of the metal under the rust layer is firstly reported.•Combined TAMI scanning with image processing method, the pitting depth can be characterized.•Under the C-scanning mode, one single pit on the 7050 aluminum alloy can be focused.•This work provides practical methods on mechanism study of the localized corrosion process.
To evaluate the residual life and safe operation of metallic materials, it is crucial to accurately identify the intensity and depth of corrosion pits. Scanning acoustic microscopy (SAM) using tomographic acoustic microimaging (TAMI) under C-mode was employed to determine corrosion pit morphology and depth on aluminum alloy 7050, and the reults were cross-checked by optical microscopy. Maximum and average pitting depths of 204 μm and 80 μm, respectively, were determined by multilayer scannning, and a pitted area of 30 ∼ 40 % was calculated using binary image processing.</abstract><cop>Amsterdam</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.corsci.2020.108685</doi></addata></record> |
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| subjects | Acoustic microscopes Acoustics Aluminum base alloys Corrosion Image processing Microscopy Morphology Multilayers Optical microscopy Pitted area Pitting (corrosion) Pitting depth Scanning acoustic microscopy Scanning acoustic microscopy (SAM) |
| title | Metal pitting corrosion characterized by scanning acoustic microscopy and binary image processing |
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