Numerical Simulation of Zr-based Bulk Metallic Glass During Continuous Casting Solidification Process
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Materials research (São Carlos. Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392015000700003 |
Resumo: | A numerical simulation method was used to analyze the solidification process of Zr-based bulk metallic glass (BMG) during the horizontal continuous casting (HCC) process. The large-scale general-purpose finite element analysis software ANSYS was adopted to develop a temperature field model. The variation of temperature field in the specific area at different time was studied. Its accuracy was verified by the experimental results of Zr48Cu36Ag8Al8 bulk metallic glass continuous casting solidification process. The effects of casting parameters include intermittent casting procedure (drawing and stopping), casting speed, pouring temperature and cooling rate. The results show that the optimum casting speed range is 1-2 mm/s, pouring temperature is 1223 K and cooling rate of 10 mm rod casting is 5 L/min respectively. A fully Zr-based bulk metallic glass whose diameter is 10 mm and length has no limitation has been successfully fabricated. |
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Materials research (São Carlos. Online) |
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Numerical Simulation of Zr-based Bulk Metallic Glass During Continuous Casting Solidification Processbulk metallic glasscontinuous castingcomposite water cold copper-graphite moldnumerical simulation of casting processtemperature fieldA numerical simulation method was used to analyze the solidification process of Zr-based bulk metallic glass (BMG) during the horizontal continuous casting (HCC) process. The large-scale general-purpose finite element analysis software ANSYS was adopted to develop a temperature field model. The variation of temperature field in the specific area at different time was studied. Its accuracy was verified by the experimental results of Zr48Cu36Ag8Al8 bulk metallic glass continuous casting solidification process. The effects of casting parameters include intermittent casting procedure (drawing and stopping), casting speed, pouring temperature and cooling rate. The results show that the optimum casting speed range is 1-2 mm/s, pouring temperature is 1223 K and cooling rate of 10 mm rod casting is 5 L/min respectively. A fully Zr-based bulk metallic glass whose diameter is 10 mm and length has no limitation has been successfully fabricated.ABM, ABC, ABPol2015-11-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392015000700003Materials Research v.18 suppl.1 2015reponame:Materials research (São Carlos. Online)instname:Universidade Federal de São Carlos (UFSCAR)instacron:ABM ABC ABPOL10.1590/1516-1439.319814info:eu-repo/semantics/openAccessTang,RenhongZhou,BingwenMa,YuejiaoJia,FeiZhang,Xingguoeng2015-12-03T00:00:00Zoai:scielo:S1516-14392015000700003Revistahttp://www.scielo.br/mrPUBhttps://old.scielo.br/oai/scielo-oai.phpdedz@power.ufscar.br1980-53731516-1439opendoar:2015-12-03T00:00Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR)false |
dc.title.none.fl_str_mv |
Numerical Simulation of Zr-based Bulk Metallic Glass During Continuous Casting Solidification Process |
title |
Numerical Simulation of Zr-based Bulk Metallic Glass During Continuous Casting Solidification Process |
spellingShingle |
Numerical Simulation of Zr-based Bulk Metallic Glass During Continuous Casting Solidification Process Tang,Renhong bulk metallic glass continuous casting composite water cold copper-graphite mold numerical simulation of casting process temperature field |
title_short |
Numerical Simulation of Zr-based Bulk Metallic Glass During Continuous Casting Solidification Process |
title_full |
Numerical Simulation of Zr-based Bulk Metallic Glass During Continuous Casting Solidification Process |
title_fullStr |
Numerical Simulation of Zr-based Bulk Metallic Glass During Continuous Casting Solidification Process |
title_full_unstemmed |
Numerical Simulation of Zr-based Bulk Metallic Glass During Continuous Casting Solidification Process |
title_sort |
Numerical Simulation of Zr-based Bulk Metallic Glass During Continuous Casting Solidification Process |
author |
Tang,Renhong |
author_facet |
Tang,Renhong Zhou,Bingwen Ma,Yuejiao Jia,Fei Zhang,Xingguo |
author_role |
author |
author2 |
Zhou,Bingwen Ma,Yuejiao Jia,Fei Zhang,Xingguo |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Tang,Renhong Zhou,Bingwen Ma,Yuejiao Jia,Fei Zhang,Xingguo |
dc.subject.por.fl_str_mv |
bulk metallic glass continuous casting composite water cold copper-graphite mold numerical simulation of casting process temperature field |
topic |
bulk metallic glass continuous casting composite water cold copper-graphite mold numerical simulation of casting process temperature field |
description |
A numerical simulation method was used to analyze the solidification process of Zr-based bulk metallic glass (BMG) during the horizontal continuous casting (HCC) process. The large-scale general-purpose finite element analysis software ANSYS was adopted to develop a temperature field model. The variation of temperature field in the specific area at different time was studied. Its accuracy was verified by the experimental results of Zr48Cu36Ag8Al8 bulk metallic glass continuous casting solidification process. The effects of casting parameters include intermittent casting procedure (drawing and stopping), casting speed, pouring temperature and cooling rate. The results show that the optimum casting speed range is 1-2 mm/s, pouring temperature is 1223 K and cooling rate of 10 mm rod casting is 5 L/min respectively. A fully Zr-based bulk metallic glass whose diameter is 10 mm and length has no limitation has been successfully fabricated. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-11-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392015000700003 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392015000700003 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1516-1439.319814 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
ABM, ABC, ABPol |
publisher.none.fl_str_mv |
ABM, ABC, ABPol |
dc.source.none.fl_str_mv |
Materials Research v.18 suppl.1 2015 reponame:Materials research (São Carlos. Online) instname:Universidade Federal de São Carlos (UFSCAR) instacron:ABM ABC ABPOL |
instname_str |
Universidade Federal de São Carlos (UFSCAR) |
instacron_str |
ABM ABC ABPOL |
institution |
ABM ABC ABPOL |
reponame_str |
Materials research (São Carlos. Online) |
collection |
Materials research (São Carlos. Online) |
repository.name.fl_str_mv |
Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR) |
repository.mail.fl_str_mv |
dedz@power.ufscar.br |
_version_ |
1754212666614743040 |