Inspecting a Research Reactor's Control Rod Surface for Pitting using a Machine Vision
Inspection for pits on the control rod is performed to study the degradation of the control rod material which helps estimating the service life of the control rod at UMR nuclear reactor (UMRR). This inspection task is visually inspected and recorded subjectively. The conventional visual inspection...
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Veröffentlicht in: | Journal of nuclear science and technology 2005-11, Vol.42 (11), p.994-1000 |
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description | Inspection for pits on the control rod is performed to study the degradation of the control rod material which helps estimating the service life of the control rod at UMR nuclear reactor (UMRR). This inspection task is visually inspected and recorded subjectively. The conventional visual inspection to identify pits on the control rod surface can be automated using machine vision technique. Since the in-service control rods were not available to capture images and measure number of pits and size of the pits, the applicability of machine vision method was applied on SAE 1018 steel coupons immersed in oxygen saturated de-ionized water at 30°, 50° and 70°C. Images were captured after each test cycle at different light intensity to reveal surface topography of the coupon surface and analyzed for number of pits and pit size using EPIX XCAP-Std software. The captured and analyzed images provided quantitative results for the steel coupons and demonstrated that the method can be applied for identifying pits on control rod surface in place of conventional visual inspection. |
doi_str_mv | 10.1080/18811248.2005.9711051 |
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This inspection task is visually inspected and recorded subjectively. The conventional visual inspection to identify pits on the control rod surface can be automated using machine vision technique. Since the in-service control rods were not available to capture images and measure number of pits and size of the pits, the applicability of machine vision method was applied on SAE 1018 steel coupons immersed in oxygen saturated de-ionized water at 30°, 50° and 70°C. Images were captured after each test cycle at different light intensity to reveal surface topography of the coupon surface and analyzed for number of pits and pit size using EPIX XCAP-Std software. 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This inspection task is visually inspected and recorded subjectively. The conventional visual inspection to identify pits on the control rod surface can be automated using machine vision technique. Since the in-service control rods were not available to capture images and measure number of pits and size of the pits, the applicability of machine vision method was applied on SAE 1018 steel coupons immersed in oxygen saturated de-ionized water at 30°, 50° and 70°C. Images were captured after each test cycle at different light intensity to reveal surface topography of the coupon surface and analyzed for number of pits and pit size using EPIX XCAP-Std software. The captured and analyzed images provided quantitative results for the steel coupons and demonstrated that the method can be applied for identifying pits on control rod surface in place of conventional visual inspection.</description><subject>Applied sciences</subject><subject>capture images</subject><subject>control rod</subject><subject>coupons</subject><subject>Energy</subject><subject>Energy. Thermal use of fuels</subject><subject>Exact sciences and technology</subject><subject>Fission nuclear power plants</subject><subject>Installations for energy generation and conversion: thermal and electrical energy</subject><subject>light intensity</subject><subject>machine vision</subject><subject>number of pits</subject><subject>visual inspection</subject><issn>0022-3131</issn><issn>1881-1248</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNp9kF1PwyAUhonRxDn9CSa9Ua86-Wqhd5rFjyUzmqm7JZRSh-lgQhuzfy-1W7zzigPnec4hLwDnCE4Q5PAacY4QpnyCIcwmBUMIZugAjPr3tG8cghGEGKcEEXQMTkL4jNec5nwEljMbNlq1xn4kMlnooKVXq1hI1Tp_FZKps613TbJwVfLa-VoqndTOJy-m_ZW6MKhPUq2M1cnSBOPsKTiqZRP02e4cg_f7u7fpYzp_fphNb-epIln8nJJZpQnJKkIrVsIi1yXTDPOCUcIojYUqCapxHluEwJpoRhguCWaEa8w1GYPLYe7Gu69Oh1asTVC6aaTVrgsCFyjPEccRzAZQeReC17XYeLOWfisQFH2KYp-i6FMUuxSjd7FbIIOSTe2lVSb8yYxCGsnI3QycsTGdtfx2vqlEK7eN83uJ_L_qB7MUg-w</recordid><startdate>20051101</startdate><enddate>20051101</enddate><creator>TOKUHIRO, Akira T.</creator><creator>VADAKATTU, Shreekanth</creator><general>Taylor & Francis Group</general><general>Atomic Energy Society of Japan</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20051101</creationdate><title>Inspecting a Research Reactor's Control Rod Surface for Pitting using a Machine Vision</title><author>TOKUHIRO, Akira T. ; VADAKATTU, Shreekanth</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3581-ca5de335d34d7b096eb7e7289743744289cb31f26096330f3e7372b32738e28e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Applied sciences</topic><topic>capture images</topic><topic>control rod</topic><topic>coupons</topic><topic>Energy</topic><topic>Energy. Thermal use of fuels</topic><topic>Exact sciences and technology</topic><topic>Fission nuclear power plants</topic><topic>Installations for energy generation and conversion: thermal and electrical energy</topic><topic>light intensity</topic><topic>machine vision</topic><topic>number of pits</topic><topic>visual inspection</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>TOKUHIRO, Akira T.</creatorcontrib><creatorcontrib>VADAKATTU, Shreekanth</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Journal of nuclear science and technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>TOKUHIRO, Akira T.</au><au>VADAKATTU, Shreekanth</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Inspecting a Research Reactor's Control Rod Surface for Pitting using a Machine Vision</atitle><jtitle>Journal of nuclear science and technology</jtitle><date>2005-11-01</date><risdate>2005</risdate><volume>42</volume><issue>11</issue><spage>994</spage><epage>1000</epage><pages>994-1000</pages><issn>0022-3131</issn><eissn>1881-1248</eissn><coden>JNSTAX</coden><abstract>Inspection for pits on the control rod is performed to study the degradation of the control rod material which helps estimating the service life of the control rod at UMR nuclear reactor (UMRR). This inspection task is visually inspected and recorded subjectively. The conventional visual inspection to identify pits on the control rod surface can be automated using machine vision technique. Since the in-service control rods were not available to capture images and measure number of pits and size of the pits, the applicability of machine vision method was applied on SAE 1018 steel coupons immersed in oxygen saturated de-ionized water at 30°, 50° and 70°C. Images were captured after each test cycle at different light intensity to reveal surface topography of the coupon surface and analyzed for number of pits and pit size using EPIX XCAP-Std software. The captured and analyzed images provided quantitative results for the steel coupons and demonstrated that the method can be applied for identifying pits on control rod surface in place of conventional visual inspection.</abstract><cop>Tokyo</cop><pub>Taylor & Francis Group</pub><doi>10.1080/18811248.2005.9711051</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Applied sciences capture images control rod coupons Energy Energy. Thermal use of fuels Exact sciences and technology Fission nuclear power plants Installations for energy generation and conversion: thermal and electrical energy light intensity machine vision number of pits visual inspection |
title | Inspecting a Research Reactor's Control Rod Surface for Pitting using a Machine Vision |
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