Modelling Nucleation of Recrystallisation in Aluminium Alloys
The predictions from a grain cluster deformation texture model, GIA, are utilized to study the nucleation texture of recrystallisation of aluminium alloys. In combination with a dislocation based work hardening model, the propensity of specific grains in their granular environment for select nucleat...
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Veröffentlicht in: | Materials science forum 2007-01, Vol.550, p.85-94 |
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creator | Schäfer, C. Crumbach, Mischa Gottstein, Günter |
description | The predictions from a grain cluster deformation texture model, GIA, are utilized to study
the nucleation texture of recrystallisation of aluminium alloys. In combination with a dislocation
based work hardening model, the propensity of specific grains in their granular environment for
select nucleation mechanisms is investigated. Quantitative criteria for the nucleation events can be
formulated. The results can be fed into a growth model of recrystallisation to predict
recrystallisation textures and lend themselves to through-process modelling. |
doi_str_mv | 10.4028/www.scientific.net/MSF.550.85 |
format | Article |
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the nucleation texture of recrystallisation of aluminium alloys. In combination with a dislocation
based work hardening model, the propensity of specific grains in their granular environment for
select nucleation mechanisms is investigated. Quantitative criteria for the nucleation events can be
formulated. The results can be fed into a growth model of recrystallisation to predict
recrystallisation textures and lend themselves to through-process modelling.</description><identifier>ISSN: 0255-5476</identifier><identifier>ISSN: 1662-9752</identifier><identifier>EISSN: 1662-9752</identifier><identifier>DOI: 10.4028/www.scientific.net/MSF.550.85</identifier><language>eng</language><publisher>Trans Tech Publications Ltd</publisher><ispartof>Materials science forum, 2007-01, Vol.550, p.85-94</ispartof><rights>2007 Trans Tech Publications Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c226t-7caeb5268f4b9ba4634656ca6b521e8f4bc6919df28f37f8e3416bf70dede5503</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://www.scientific.net/Image/TitleCover/64?width=600</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Schäfer, C.</creatorcontrib><creatorcontrib>Crumbach, Mischa</creatorcontrib><creatorcontrib>Gottstein, Günter</creatorcontrib><title>Modelling Nucleation of Recrystallisation in Aluminium Alloys</title><title>Materials science forum</title><description>The predictions from a grain cluster deformation texture model, GIA, are utilized to study
the nucleation texture of recrystallisation of aluminium alloys. In combination with a dislocation
based work hardening model, the propensity of specific grains in their granular environment for
select nucleation mechanisms is investigated. Quantitative criteria for the nucleation events can be
formulated. The results can be fed into a growth model of recrystallisation to predict
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the nucleation texture of recrystallisation of aluminium alloys. In combination with a dislocation
based work hardening model, the propensity of specific grains in their granular environment for
select nucleation mechanisms is investigated. Quantitative criteria for the nucleation events can be
formulated. The results can be fed into a growth model of recrystallisation to predict
recrystallisation textures and lend themselves to through-process modelling.</abstract><pub>Trans Tech Publications Ltd</pub><doi>10.4028/www.scientific.net/MSF.550.85</doi><tpages>10</tpages></addata></record> |
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title | Modelling Nucleation of Recrystallisation in Aluminium Alloys |
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