Modelling and characterization of Chi phase grain boundary precipitation during agging of Fe-C-Ni-Mo stainless steel
High molybdenum stainless steels may contain the Chi precipitate (, Fe36Cr12Mo10) which may lead to undesirable effects on strength, toughness and corrosion resistance. In the present work, specimens of a 12Cr-9Ni-4Mo wt% steel are heat treated at different temperatures and times, and the average p...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2007 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/77612 |
| Acceso en línea: | http://hdl.handle.net/10261/77612 |
| Access Level: | acceso abierto |
| Palabra clave: | Chi precipitate Precipitation kinetics Particle size distribution Modelling Stainless steel |
| id |
ES_b75d318dedba3f46c1953d1ae9ede932 |
|---|---|
| oai_identifier_str |
oai:digital.csic.es:10261/77612 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
Modelling and characterization of Chi phase grain boundary precipitation during agging of Fe-C-Ni-Mo stainless steelXu, W.San-Martín, DavidRivera-Díaz del Castillo, P.E.J.Zwaag, S. van derChi precipitatePrecipitation kineticsParticle size distributionModellingStainless steelHigh molybdenum stainless steels may contain the Chi precipitate (, Fe36Cr12Mo10) which may lead to undesirable effects on strength, toughness and corrosion resistance. In the present work, specimens of a 12Cr-9Ni-4Mo wt% steel are heat treated at different temperatures and times, and the average particle size and particle size distribution of Chi precipitate are studied quantitatively. A computer model based onthe KWN framework has been developed to describe the evolution of Chi precipitation. The kinetic model takes the natural advantages of the KWN model to describe the precipitate particle size distribution, and is coupled with the thermodynamic software ThermoCalc® for calculating the instantaneous local thermodynamic equilibrium condition at the interface and the driving force for nucleation. A modified version of Zener’s theory accounting for capillarity effects at early growth stages is implemented in this model. The prediction of the model is compared to experimental results and both the average particle size and the particle size distribution are found to be in good agreement with experimental observations.the Netherlands Institute for Metals Research (NIMR) for the provision of funding through the programme “Designing ultra high strength corrosion resistance steels for aerospace applications” (project number MC5.04192) and “Tailoring of processable metastable steels” (project number 02EMM30-3)Peer reviewedElsevier201320132007info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/77612reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1016/j.msea.2007.02.071info:eu-repo/semantics/openAccessoai:digital.csic.es:10261/776122026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Modelling and characterization of Chi phase grain boundary precipitation during agging of Fe-C-Ni-Mo stainless steel |
| title |
Modelling and characterization of Chi phase grain boundary precipitation during agging of Fe-C-Ni-Mo stainless steel |
| spellingShingle |
Modelling and characterization of Chi phase grain boundary precipitation during agging of Fe-C-Ni-Mo stainless steel Xu, W. Chi precipitate Precipitation kinetics Particle size distribution Modelling Stainless steel |
| title_short |
Modelling and characterization of Chi phase grain boundary precipitation during agging of Fe-C-Ni-Mo stainless steel |
| title_full |
Modelling and characterization of Chi phase grain boundary precipitation during agging of Fe-C-Ni-Mo stainless steel |
| title_fullStr |
Modelling and characterization of Chi phase grain boundary precipitation during agging of Fe-C-Ni-Mo stainless steel |
| title_full_unstemmed |
Modelling and characterization of Chi phase grain boundary precipitation during agging of Fe-C-Ni-Mo stainless steel |
| title_sort |
Modelling and characterization of Chi phase grain boundary precipitation during agging of Fe-C-Ni-Mo stainless steel |
| dc.creator.none.fl_str_mv |
Xu, W. San-Martín, David Rivera-Díaz del Castillo, P.E.J. Zwaag, S. van der |
| author |
Xu, W. |
| author_facet |
Xu, W. San-Martín, David Rivera-Díaz del Castillo, P.E.J. Zwaag, S. van der |
| author_role |
author |
| author2 |
San-Martín, David Rivera-Díaz del Castillo, P.E.J. Zwaag, S. van der |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
Chi precipitate Precipitation kinetics Particle size distribution Modelling Stainless steel |
| topic |
Chi precipitate Precipitation kinetics Particle size distribution Modelling Stainless steel |
| description |
High molybdenum stainless steels may contain the Chi precipitate (, Fe36Cr12Mo10) which may lead to undesirable effects on strength, toughness and corrosion resistance. In the present work, specimens of a 12Cr-9Ni-4Mo wt% steel are heat treated at different temperatures and times, and the average particle size and particle size distribution of Chi precipitate are studied quantitatively. A computer model based onthe KWN framework has been developed to describe the evolution of Chi precipitation. The kinetic model takes the natural advantages of the KWN model to describe the precipitate particle size distribution, and is coupled with the thermodynamic software ThermoCalc® for calculating the instantaneous local thermodynamic equilibrium condition at the interface and the driving force for nucleation. A modified version of Zener’s theory accounting for capillarity effects at early growth stages is implemented in this model. The prediction of the model is compared to experimental results and both the average particle size and the particle size distribution are found to be in good agreement with experimental observations. |
| publishDate |
2007 |
| dc.date.none.fl_str_mv |
2007 2013 2013 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 |
| format |
article |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/77612 |
| url |
http://hdl.handle.net/10261/77612 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
http://dx.doi.org/10.1016/j.msea.2007.02.071 |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
Elsevier |
| publisher.none.fl_str_mv |
Elsevier |
| dc.source.none.fl_str_mv |
reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
| instname_str |
Consejo Superior de Investigaciones Científicas (CSIC) |
| reponame_str |
DIGITAL.CSIC. Repositorio Institucional del CSIC |
| collection |
DIGITAL.CSIC. Repositorio Institucional del CSIC |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869417523391234048 |
| score |
15,812429 |