Method for Identifying and Mapping Flaw Size Distributions on Glass Surfaces for Predicting Mechanical Response
The statistical and critical tensile stresses associated with crack initiation on glass surfaces are dependent on the size and location of pre‐existing flaws. The introduction, sizes, concentrations, and distribution of those pre‐existing flaws at any moment of time are a direct and cumulative conse...
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Veröffentlicht in: | International journal of applied glass science 2014-03, Vol.5 (1), p.16-21 |
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description | The statistical and critical tensile stresses associated with crack initiation on glass surfaces are dependent on the size and location of pre‐existing flaws. The introduction, sizes, concentrations, and distribution of those pre‐existing flaws at any moment of time are a direct and cumulative consequence of any glass's manufacturing, packaging, handling, and service histories. A new, nondestructive “High Resolution Flaw Classification System” is under development that rapidly identifies, measures, and maps surface‐located flaws on glass. Flaws smaller than 8 × 8 μm are detectable and many square centimeters per second can be scanned. The potential mechanical response of that glass, with that quantified surface‐flaw state at that moment of time, can then be predicted using the classical Griffith criterion. |
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The potential mechanical response of that glass, with that quantified surface‐flaw state at that moment of time, can then be predicted using the classical Griffith criterion.</description><subject>Classification</subject><subject>Crack initiation</subject><subject>Criteria</subject><subject>Fracture mechanics</subject><subject>Glass</subject><subject>Packaging</subject><subject>Tensile stress</subject><issn>2041-1286</issn><issn>2041-1294</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp9kU1P3DAQhiPUSkXApb_AKhdUKdSOPxIfgcJ2KxZoQfRoeZ0JeAl2ajui219fLykceuhcPIfnGc34LYr3BB-SXJ_sSt8dkgpzuVVsV5iRklSSvXntG_Gu2ItxhXPRphGy2S78AtK9b1HnA5q34JLt1tbdIe1atNDDsOnPev2Eru1vQJ9tTMEux2S9i8g7NOt1jOh6DJ02EJ-nXAVorUkbcQHmXjtrdI--QxyyA7vF2073Efb-vjvFzdnpzcmX8vxyNj85Oi8NlVKWhlVimRdkmnJCcCsq2RrgjDFhtKF4SU3bcGJ4rWtZGdxh3THaMIkBmhbTneLDNNbHZFU0NuVVjHcOTFKEVJTXMkMHEzQE_3OEmNSjjQb6XjvwY1RE1IRTkT8qo_v_oCs_BpcvUIRjWjeCUJGpjxNlgo8xQKeGYB91WCuC1SYitYlIPUeUYTLBT7aH9X9INf96NHtxysnJOcCvV0eHByVqWnP142Kmjityy7_RWi3oH6YwoSQ</recordid><startdate>201403</startdate><enddate>201403</enddate><creator>Wereszczak, Andrew A.</creator><creator>Ferber, Mattison K.</creator><creator>Musselwhite, Wayne</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QQ</scope><scope>7SR</scope><scope>8FD</scope><scope>JG9</scope><scope>OTOTI</scope></search><sort><creationdate>201403</creationdate><title>Method for Identifying and Mapping Flaw Size Distributions on Glass Surfaces for Predicting Mechanical Response</title><author>Wereszczak, Andrew A. ; Ferber, Mattison K. ; Musselwhite, Wayne</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3999-c426b6984a35110d629dce54446cac30b3cd851c57a792c0f0af438490ee8d03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Classification</topic><topic>Crack initiation</topic><topic>Criteria</topic><topic>Fracture mechanics</topic><topic>Glass</topic><topic>Packaging</topic><topic>Tensile stress</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wereszczak, Andrew A.</creatorcontrib><creatorcontrib>Ferber, Mattison K.</creatorcontrib><creatorcontrib>Musselwhite, Wayne</creatorcontrib><creatorcontrib>Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Ceramic Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>OSTI.GOV</collection><jtitle>International journal of applied glass science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wereszczak, Andrew A.</au><au>Ferber, Mattison K.</au><au>Musselwhite, Wayne</au><aucorp>Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Method for Identifying and Mapping Flaw Size Distributions on Glass Surfaces for Predicting Mechanical Response</atitle><jtitle>International journal of applied glass science</jtitle><addtitle>Int J Appl Glass Sci</addtitle><date>2014-03</date><risdate>2014</risdate><volume>5</volume><issue>1</issue><spage>16</spage><epage>21</epage><pages>16-21</pages><issn>2041-1286</issn><eissn>2041-1294</eissn><abstract>The statistical and critical tensile stresses associated with crack initiation on glass surfaces are dependent on the size and location of pre‐existing flaws. The introduction, sizes, concentrations, and distribution of those pre‐existing flaws at any moment of time are a direct and cumulative consequence of any glass's manufacturing, packaging, handling, and service histories. A new, nondestructive “High Resolution Flaw Classification System” is under development that rapidly identifies, measures, and maps surface‐located flaws on glass. Flaws smaller than 8 × 8 μm are detectable and many square centimeters per second can be scanned. The potential mechanical response of that glass, with that quantified surface‐flaw state at that moment of time, can then be predicted using the classical Griffith criterion.</abstract><cop>Westerville</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/ijag.12059</doi><tpages>6</tpages></addata></record> |
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subjects | Classification Crack initiation Criteria Fracture mechanics Glass Packaging Tensile stress |
title | Method for Identifying and Mapping Flaw Size Distributions on Glass Surfaces for Predicting Mechanical Response |
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