Effect of Varying Molar Volume on Interdiffusion Analysis in a Binary System
There are seven approaches of determination of interdiffusion coefficients with respect to volume-fixed frame given in the literature. These methods are by Boltzmann–Matano, Sauer–Freise, den Broeder, Wagner, Balluffi, Guy et al . and Danielewski et al . It is important to verify the applicability o...
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Veröffentlicht in: | Metallurgical and materials transactions. A, Physical metallurgy and materials science Physical metallurgy and materials science, 2021-08, Vol.52 (8), p.3489-3502 |
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description | There are seven approaches of determination of interdiffusion coefficients with respect to volume-fixed frame given in the literature. These methods are by Boltzmann–Matano, Sauer–Freise, den Broeder, Wagner, Balluffi, Guy
et al
. and Danielewski
et al
. It is important to verify the applicability of these approaches under real conditions such as when molar volume
V
m
is a function of composition. This is one of the primary objectives of the present study and to achieve this goal, both qualitative and quantitative analyses of the said methods are carried out. These seven methods are examined critically for possible errors and implicit assumptions, if any, in their derivation. Subsequently, quantitative estimation of errors in these approaches is done through MATLAB simulation. Five hypothetical cases of variation of
V
m
with composition are treated including constant, ideal and non-ideal dependence on composition. Concentration profiles are generated for each of these cases in a hypothetical binary diffusion couple by employing a code written in MATLAB. Using the concentration profiles, errors are evaluated in the diffusion coefficients determined based on the seven approaches. Based on the error analysis, methods which give the least error in interdiffusion coefficients are finally proposed. Effect of assuming constant
V
m
in alloy systems which show dependence of
V
m
on composition is also investigated. |
doi_str_mv | 10.1007/s11661-021-06320-7 |
format | Article |
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et al
. and Danielewski
et al
. It is important to verify the applicability of these approaches under real conditions such as when molar volume
V
m
is a function of composition. This is one of the primary objectives of the present study and to achieve this goal, both qualitative and quantitative analyses of the said methods are carried out. These seven methods are examined critically for possible errors and implicit assumptions, if any, in their derivation. Subsequently, quantitative estimation of errors in these approaches is done through MATLAB simulation. Five hypothetical cases of variation of
V
m
with composition are treated including constant, ideal and non-ideal dependence on composition. Concentration profiles are generated for each of these cases in a hypothetical binary diffusion couple by employing a code written in MATLAB. Using the concentration profiles, errors are evaluated in the diffusion coefficients determined based on the seven approaches. Based on the error analysis, methods which give the least error in interdiffusion coefficients are finally proposed. Effect of assuming constant
V
m
in alloy systems which show dependence of
V
m
on composition is also investigated.</description><identifier>ISSN: 1073-5623</identifier><identifier>EISSN: 1543-1940</identifier><identifier>DOI: 10.1007/s11661-021-06320-7</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Alloy systems ; Alloys ; Binary systems ; Characterization and Evaluation of Materials ; Chemistry and Materials Science ; Coefficients ; Error analysis ; Interdiffusion ; Laboratories ; Materials Science ; Matlab ; Metallic Materials ; Methods ; Molar volume ; Nanotechnology ; Original Research Article ; Qualitative analysis ; Simulation ; Structural Materials ; Surfaces and Interfaces ; Thin Films</subject><ispartof>Metallurgical and materials transactions. A, Physical metallurgy and materials science, 2021-08, Vol.52 (8), p.3489-3502</ispartof><rights>The Minerals, Metals & Materials Society and ASM International 2021</rights><rights>The Minerals, Metals & Materials Society and ASM International 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c270t-757a6cdbcdcdc6460a6a3e0435cf9f441edec728d73bae0dba514a86d7adae103</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11661-021-06320-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11661-021-06320-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Tripathi, Aparna</creatorcontrib><creatorcontrib>Kulkarni, Kaustubh N.</creatorcontrib><title>Effect of Varying Molar Volume on Interdiffusion Analysis in a Binary System</title><title>Metallurgical and materials transactions. A, Physical metallurgy and materials science</title><addtitle>Metall Mater Trans A</addtitle><description>There are seven approaches of determination of interdiffusion coefficients with respect to volume-fixed frame given in the literature. These methods are by Boltzmann–Matano, Sauer–Freise, den Broeder, Wagner, Balluffi, Guy
et al
. and Danielewski
et al
. It is important to verify the applicability of these approaches under real conditions such as when molar volume
V
m
is a function of composition. This is one of the primary objectives of the present study and to achieve this goal, both qualitative and quantitative analyses of the said methods are carried out. These seven methods are examined critically for possible errors and implicit assumptions, if any, in their derivation. Subsequently, quantitative estimation of errors in these approaches is done through MATLAB simulation. Five hypothetical cases of variation of
V
m
with composition are treated including constant, ideal and non-ideal dependence on composition. Concentration profiles are generated for each of these cases in a hypothetical binary diffusion couple by employing a code written in MATLAB. Using the concentration profiles, errors are evaluated in the diffusion coefficients determined based on the seven approaches. Based on the error analysis, methods which give the least error in interdiffusion coefficients are finally proposed. Effect of assuming constant
V
m
in alloy systems which show dependence of
V
m
on composition is also investigated.</description><subject>Alloy systems</subject><subject>Alloys</subject><subject>Binary systems</subject><subject>Characterization and Evaluation of Materials</subject><subject>Chemistry and Materials Science</subject><subject>Coefficients</subject><subject>Error analysis</subject><subject>Interdiffusion</subject><subject>Laboratories</subject><subject>Materials Science</subject><subject>Matlab</subject><subject>Metallic Materials</subject><subject>Methods</subject><subject>Molar volume</subject><subject>Nanotechnology</subject><subject>Original Research Article</subject><subject>Qualitative analysis</subject><subject>Simulation</subject><subject>Structural Materials</subject><subject>Surfaces and Interfaces</subject><subject>Thin Films</subject><issn>1073-5623</issn><issn>1543-1940</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kE1LAzEQhoMoWKt_wFPA8-rku3usxY9CxYPaa0jzUVK2uzXZPfTfG13BmwzDzMA8Ly8vQtcEbgmAusuESEkqoKUlo1CpEzQhgrOK1BxOyw6KVUJSdo4uct4BAKmZnKDVQwje9rgLeG3SMbZb_NI1JuF11wx7j7sWL9veJxdDGHIs57w1zTHHjGOLDb6PbcHw2zH3fn-JzoJpsr_6nVP08fjwvniuVq9Py8V8VVmqoK-UUEZat7GulOQSjDTMA2fChjpwTrzzVtGZU2xjPLiNEYSbmXTKOOMJsCm6GXUPqfscfO71rhtS8ZU1FVwRVYuiNkV0_LKpyzn5oA8p7otbTUB_p6bH1HRJTf-kplWB2Ajl8txuffqT_of6AhgbcBE</recordid><startdate>20210801</startdate><enddate>20210801</enddate><creator>Tripathi, Aparna</creator><creator>Kulkarni, Kaustubh N.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>4T-</scope><scope>4U-</scope><scope>7SR</scope><scope>7XB</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>L6V</scope><scope>M2O</scope><scope>M2P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>S0X</scope></search><sort><creationdate>20210801</creationdate><title>Effect of Varying Molar Volume on Interdiffusion Analysis in a Binary System</title><author>Tripathi, Aparna ; Kulkarni, Kaustubh N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c270t-757a6cdbcdcdc6460a6a3e0435cf9f441edec728d73bae0dba514a86d7adae103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Alloy systems</topic><topic>Alloys</topic><topic>Binary systems</topic><topic>Characterization and Evaluation of Materials</topic><topic>Chemistry and Materials Science</topic><topic>Coefficients</topic><topic>Error analysis</topic><topic>Interdiffusion</topic><topic>Laboratories</topic><topic>Materials Science</topic><topic>Matlab</topic><topic>Metallic Materials</topic><topic>Methods</topic><topic>Molar volume</topic><topic>Nanotechnology</topic><topic>Original Research Article</topic><topic>Qualitative analysis</topic><topic>Simulation</topic><topic>Structural Materials</topic><topic>Surfaces and Interfaces</topic><topic>Thin Films</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tripathi, Aparna</creatorcontrib><creatorcontrib>Kulkarni, Kaustubh N.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>University Readers</collection><collection>Engineered Materials Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Research Library</collection><collection>Science Database (ProQuest)</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>Metallurgical and materials transactions. A, Physical metallurgy and materials science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tripathi, Aparna</au><au>Kulkarni, Kaustubh N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effect of Varying Molar Volume on Interdiffusion Analysis in a Binary System</atitle><jtitle>Metallurgical and materials transactions. A, Physical metallurgy and materials science</jtitle><stitle>Metall Mater Trans A</stitle><date>2021-08-01</date><risdate>2021</risdate><volume>52</volume><issue>8</issue><spage>3489</spage><epage>3502</epage><pages>3489-3502</pages><issn>1073-5623</issn><eissn>1543-1940</eissn><abstract>There are seven approaches of determination of interdiffusion coefficients with respect to volume-fixed frame given in the literature. These methods are by Boltzmann–Matano, Sauer–Freise, den Broeder, Wagner, Balluffi, Guy
et al
. and Danielewski
et al
. It is important to verify the applicability of these approaches under real conditions such as when molar volume
V
m
is a function of composition. This is one of the primary objectives of the present study and to achieve this goal, both qualitative and quantitative analyses of the said methods are carried out. These seven methods are examined critically for possible errors and implicit assumptions, if any, in their derivation. Subsequently, quantitative estimation of errors in these approaches is done through MATLAB simulation. Five hypothetical cases of variation of
V
m
with composition are treated including constant, ideal and non-ideal dependence on composition. Concentration profiles are generated for each of these cases in a hypothetical binary diffusion couple by employing a code written in MATLAB. Using the concentration profiles, errors are evaluated in the diffusion coefficients determined based on the seven approaches. Based on the error analysis, methods which give the least error in interdiffusion coefficients are finally proposed. Effect of assuming constant
V
m
in alloy systems which show dependence of
V
m
on composition is also investigated.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11661-021-06320-7</doi><tpages>14</tpages></addata></record> |
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subjects | Alloy systems Alloys Binary systems Characterization and Evaluation of Materials Chemistry and Materials Science Coefficients Error analysis Interdiffusion Laboratories Materials Science Matlab Metallic Materials Methods Molar volume Nanotechnology Original Research Article Qualitative analysis Simulation Structural Materials Surfaces and Interfaces Thin Films |
title | Effect of Varying Molar Volume on Interdiffusion Analysis in a Binary System |
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