Comparison of analytical grain size distributions with three-dimensional computer simulations and experimental data

Analytical grain size distributions are compared with three-dimensional computer simulations employing widely different techniques: phase-field, evolver, vertex and Monte Carlo and with an experimental grain size distribution for pure iron obtained by serial sectioning. Both Rios and Weibull distrib...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Scripta materialia 2006-05, Vol.54 (9), p.1633-1637
Hauptverfasser: Rios, P.R., Dalpian, T.G., Brandão, V.S., Castro, J.A., Oliveira, A.C.L.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1637
container_issue 9
container_start_page 1633
container_title Scripta materialia
container_volume 54
creator Rios, P.R.
Dalpian, T.G.
Brandão, V.S.
Castro, J.A.
Oliveira, A.C.L.
description Analytical grain size distributions are compared with three-dimensional computer simulations employing widely different techniques: phase-field, evolver, vertex and Monte Carlo and with an experimental grain size distribution for pure iron obtained by serial sectioning. Both Rios and Weibull distributions show good agreement with available data.
doi_str_mv 10.1016/j.scriptamat.2006.01.007
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_28796832</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S135964620600056X</els_id><sourcerecordid>1082176246</sourcerecordid><originalsourceid>FETCH-LOGICAL-c412t-4bebddd444632d30c7c1469c2d827167537d5790837bf9deb234f5eb6165b41a3</originalsourceid><addsrcrecordid>eNqFkU9v3CAQxVGVSk22_Q5cGuViFzAG-5is-k-KlEt7RhjGDSsbOwxOm376stpIuTWnQaPfezPMI4RyVnPG1adDjS6FNdvZ5lowpmrGa8b0G3LOOy2qTrbqrLybtq-UVOIduUA8sAJywc8J7pd5tSngEukyUhvt9JSDsxP9lWyIFMNfoD5gTmHYclgi0t8h39N8nwAqH2aIWLqFd8Voy5CKZN4me2Jt9BT-rJCOYC6Ut9m-J29HOyF8eK478vPL5x_7b9Xt3dfv--vbykkuciUHGLz3UkrVCN8wpx2XqnfCd0JzpdtG-1b3rGv0MPYeBtHIsYVBcdUOkttmRy5PvmtaHjbAbOaADqbJRlg2NKLTveoaUcCr_4KcdYJrJcoiO9KdUJcWxASjWcvfbHoqkDkGYg7mJRBzDMQwbkogRfrxeYrFcuAx2egCvuh1K3Xf88LdnDgot3kMkIphgOjAhwQuG7-E14f9AxjIqUk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1082176246</pqid></control><display><type>article</type><title>Comparison of analytical grain size distributions with three-dimensional computer simulations and experimental data</title><source>ScienceDirect Journals (5 years ago - present)</source><creator>Rios, P.R. ; Dalpian, T.G. ; Brandão, V.S. ; Castro, J.A. ; Oliveira, A.C.L.</creator><creatorcontrib>Rios, P.R. ; Dalpian, T.G. ; Brandão, V.S. ; Castro, J.A. ; Oliveira, A.C.L.</creatorcontrib><description>Analytical grain size distributions are compared with three-dimensional computer simulations employing widely different techniques: phase-field, evolver, vertex and Monte Carlo and with an experimental grain size distribution for pure iron obtained by serial sectioning. Both Rios and Weibull distributions show good agreement with available data.</description><identifier>ISSN: 1359-6462</identifier><identifier>ISSN: 0956-716X</identifier><identifier>EISSN: 1872-8456</identifier><identifier>DOI: 10.1016/j.scriptamat.2006.01.007</identifier><language>eng</language><publisher>New York, NY: Elsevier Ltd</publisher><subject>Analytical methods ; Applied sciences ; Computer simulation ; Exact sciences and technology ; Grain growth ; Grain size distribution ; Iron ; Kinetics ; Mathematical analysis ; Metals. Metallurgy ; Microstructure ; Monte Carlo methods ; Serials ; Simulation ; Three dimensional ; Weibull distribution</subject><ispartof>Scripta materialia, 2006-05, Vol.54 (9), p.1633-1637</ispartof><rights>2006 Acta Materialia Inc.</rights><rights>2006 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c412t-4bebddd444632d30c7c1469c2d827167537d5790837bf9deb234f5eb6165b41a3</citedby><cites>FETCH-LOGICAL-c412t-4bebddd444632d30c7c1469c2d827167537d5790837bf9deb234f5eb6165b41a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S135964620600056X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=17547991$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Rios, P.R.</creatorcontrib><creatorcontrib>Dalpian, T.G.</creatorcontrib><creatorcontrib>Brandão, V.S.</creatorcontrib><creatorcontrib>Castro, J.A.</creatorcontrib><creatorcontrib>Oliveira, A.C.L.</creatorcontrib><title>Comparison of analytical grain size distributions with three-dimensional computer simulations and experimental data</title><title>Scripta materialia</title><description>Analytical grain size distributions are compared with three-dimensional computer simulations employing widely different techniques: phase-field, evolver, vertex and Monte Carlo and with an experimental grain size distribution for pure iron obtained by serial sectioning. Both Rios and Weibull distributions show good agreement with available data.</description><subject>Analytical methods</subject><subject>Applied sciences</subject><subject>Computer simulation</subject><subject>Exact sciences and technology</subject><subject>Grain growth</subject><subject>Grain size distribution</subject><subject>Iron</subject><subject>Kinetics</subject><subject>Mathematical analysis</subject><subject>Metals. Metallurgy</subject><subject>Microstructure</subject><subject>Monte Carlo methods</subject><subject>Serials</subject><subject>Simulation</subject><subject>Three dimensional</subject><subject>Weibull distribution</subject><issn>1359-6462</issn><issn>0956-716X</issn><issn>1872-8456</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><recordid>eNqFkU9v3CAQxVGVSk22_Q5cGuViFzAG-5is-k-KlEt7RhjGDSsbOwxOm376stpIuTWnQaPfezPMI4RyVnPG1adDjS6FNdvZ5lowpmrGa8b0G3LOOy2qTrbqrLybtq-UVOIduUA8sAJywc8J7pd5tSngEukyUhvt9JSDsxP9lWyIFMNfoD5gTmHYclgi0t8h39N8nwAqH2aIWLqFd8Voy5CKZN4me2Jt9BT-rJCOYC6Ut9m-J29HOyF8eK478vPL5x_7b9Xt3dfv--vbykkuciUHGLz3UkrVCN8wpx2XqnfCd0JzpdtG-1b3rGv0MPYeBtHIsYVBcdUOkttmRy5PvmtaHjbAbOaADqbJRlg2NKLTveoaUcCr_4KcdYJrJcoiO9KdUJcWxASjWcvfbHoqkDkGYg7mJRBzDMQwbkogRfrxeYrFcuAx2egCvuh1K3Xf88LdnDgot3kMkIphgOjAhwQuG7-E14f9AxjIqUk</recordid><startdate>20060501</startdate><enddate>20060501</enddate><creator>Rios, P.R.</creator><creator>Dalpian, T.G.</creator><creator>Brandão, V.S.</creator><creator>Castro, J.A.</creator><creator>Oliveira, A.C.L.</creator><general>Elsevier Ltd</general><general>Elsevier Science</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>7SC</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20060501</creationdate><title>Comparison of analytical grain size distributions with three-dimensional computer simulations and experimental data</title><author>Rios, P.R. ; Dalpian, T.G. ; Brandão, V.S. ; Castro, J.A. ; Oliveira, A.C.L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c412t-4bebddd444632d30c7c1469c2d827167537d5790837bf9deb234f5eb6165b41a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Analytical methods</topic><topic>Applied sciences</topic><topic>Computer simulation</topic><topic>Exact sciences and technology</topic><topic>Grain growth</topic><topic>Grain size distribution</topic><topic>Iron</topic><topic>Kinetics</topic><topic>Mathematical analysis</topic><topic>Metals. Metallurgy</topic><topic>Microstructure</topic><topic>Monte Carlo methods</topic><topic>Serials</topic><topic>Simulation</topic><topic>Three dimensional</topic><topic>Weibull distribution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rios, P.R.</creatorcontrib><creatorcontrib>Dalpian, T.G.</creatorcontrib><creatorcontrib>Brandão, V.S.</creatorcontrib><creatorcontrib>Castro, J.A.</creatorcontrib><creatorcontrib>Oliveira, A.C.L.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>Computer and Information Systems Abstracts</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>Scripta materialia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rios, P.R.</au><au>Dalpian, T.G.</au><au>Brandão, V.S.</au><au>Castro, J.A.</au><au>Oliveira, A.C.L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of analytical grain size distributions with three-dimensional computer simulations and experimental data</atitle><jtitle>Scripta materialia</jtitle><date>2006-05-01</date><risdate>2006</risdate><volume>54</volume><issue>9</issue><spage>1633</spage><epage>1637</epage><pages>1633-1637</pages><issn>1359-6462</issn><issn>0956-716X</issn><eissn>1872-8456</eissn><abstract>Analytical grain size distributions are compared with three-dimensional computer simulations employing widely different techniques: phase-field, evolver, vertex and Monte Carlo and with an experimental grain size distribution for pure iron obtained by serial sectioning. Both Rios and Weibull distributions show good agreement with available data.</abstract><cop>New York, NY</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.scriptamat.2006.01.007</doi><tpages>5</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1359-6462
ispartof Scripta materialia, 2006-05, Vol.54 (9), p.1633-1637
issn 1359-6462
0956-716X
1872-8456
language eng
recordid cdi_proquest_miscellaneous_28796832
source ScienceDirect Journals (5 years ago - present)
subjects Analytical methods
Applied sciences
Computer simulation
Exact sciences and technology
Grain growth
Grain size distribution
Iron
Kinetics
Mathematical analysis
Metals. Metallurgy
Microstructure
Monte Carlo methods
Serials
Simulation
Three dimensional
Weibull distribution
title Comparison of analytical grain size distributions with three-dimensional computer simulations and experimental data
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T22%3A14%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Comparison%20of%20analytical%20grain%20size%20distributions%20with%20three-dimensional%20computer%20simulations%20and%20experimental%20data&rft.jtitle=Scripta%20materialia&rft.au=Rios,%20P.R.&rft.date=2006-05-01&rft.volume=54&rft.issue=9&rft.spage=1633&rft.epage=1637&rft.pages=1633-1637&rft.issn=1359-6462&rft.eissn=1872-8456&rft_id=info:doi/10.1016/j.scriptamat.2006.01.007&rft_dat=%3Cproquest_cross%3E1082176246%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1082176246&rft_id=info:pmid/&rft_els_id=S135964620600056X&rfr_iscdi=true