Identification of the Norton-Green Compaction Model for the Prediction of the Ti-6Al-4V Densification During the Spark Plasma Sintering Process
One of the main challenges for the industrialization of the spark plasma sintering (SPS) is to resolve issues linked to the compaction of real parts with complex shapes. The modeling of powder compaction is an interesting tool to predict how the densification field varies during sintering. However,...
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| Published in | Advanced engineering materials Vol. 18; no. 10; pp. 1720 - 1727 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Blackwell Publishing Ltd
01.10.2016
Wiley |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1438-1656 1527-2648 |
| DOI | 10.1002/adem.201600348 |
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| Abstract | One of the main challenges for the industrialization of the spark plasma sintering (SPS) is to resolve issues linked to the compaction of real parts with complex shapes. The modeling of powder compaction is an interesting tool to predict how the densification field varies during sintering. However, expressing the behavior law which reflect the powder compaction is often a difficult and long step in the model establishment. In this paper, a simple methodology for the identification of the densification parameters is proposed. Dense and porous creep tests combined with SPS die compaction tests are employed to determine a complete densification law on a Ti–6Al–4V alloy directly in a SPS machine. The compaction model obtained is successfully validated through prediction of the densification of new SPSed samples.
An in situ SPS identification, using a complete and non‐reductive method of the Norton‐Green law is performed on a Ti–6Al–4V materials. The identified model is tested on two independent SPS experiments for the densification of this powder material and shows very good prediction of the experimental sintering trajectory. |
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| AbstractList | One of the main challenges for the industrialization of the spark plasma sintering (SPS) is to resolve issues linked to the compaction of real parts with complex shapes. The modeling of powder compaction is an interesting tool to predict how the densification field varies during sintering. However, expressing the behavior law which reflect the powder compaction is often a difficult and long step in the model establishment. In this paper, a simple methodology for the identification of the densification parameters is proposed. Dense and porous creep tests combined with SPS die compaction tests are employed to determine a complete densification law on a Ti-6Al-4V alloy directly in a SPS machine. The compaction model obtained is successfully validated through prediction of the densification of new SPSed samples. An in situ SPS identification, using a complete and non-reductive method of the Norton-Green law is performed on a Ti-6Al-4V materials. The identified model is tested on two independent SPS experiments for the densification of this powder material and shows very good prediction of the experimental sintering trajectory. One of the main challenges for the industrialization of the spark plasma sintering (SPS) is to resolve issues linked to the compaction of real parts with complex shapes. The modeling of powder compaction is an interesting tool to predict how the densification field varies during sintering. However, expressing the behavior law which reflect the powder compaction is often a difficult and long step in the model establishment. In this paper, a simple methodology for the identification of the densification parameters is proposed. Dense and porous creep tests combined with SPS die compaction tests are employed to determine a complete densification law on a Ti–6Al–4V alloy directly in a SPS machine. The compaction model obtained is successfully validated through prediction of the densification of new SPSed samples. An in situ SPS identification, using a complete and non‐reductive method of the Norton‐Green law is performed on a Ti–6Al–4V materials. The identified model is tested on two independent SPS experiments for the densification of this powder material and shows very good prediction of the experimental sintering trajectory. One of the main challenges for the industrialization of the spark plasma sintering (SPS) is to resolve issues linked to the compaction of real parts with complex shapes. The modeling of powder compaction is an interesting tool to predict how the densification field varies during sintering. However, expressing the behavior law which reflect the powder compaction is often a difficult and long step in the model establishment. In this paper, a simple methodology for the identification of the densification parameters is proposed. Dense and porous creep tests combined with SPS die compaction tests are employed to determine a complete densification law on a Ti–6Al–4V alloy directly in a SPS machine. The compaction model obtained is successfully validated through prediction of the densification of new SPSed samples. |
| Author | Estournès, Claude Huez, Julitte Kus, Ugras Mainguy, Ronan Delagnes, Denis Durand, Lise Manière, Charles |
| Author_xml | – sequence: 1 givenname: Charles surname: Manière fullname: Manière, Charles organization: CIRIMAT, Université de Toulouse, CNRS, INPT, UPS 118 route de Narbonne, 31062, Toulouse cedex 9, France – sequence: 2 givenname: Ugras surname: Kus fullname: Kus, Ugras organization: CIRIMAT, Université de Toulouse, CNRS, INPT, UPS 118 route de Narbonne, 31062, Toulouse cedex 9, France – sequence: 3 givenname: Lise surname: Durand fullname: Durand, Lise organization: CEMES, CNRS UPR 8011 and Université de Toulouse, 29 rue Jeanne Marvig, 31055, Toulouse, France – sequence: 4 givenname: Ronan surname: Mainguy fullname: Mainguy, Ronan organization: CIRIMAT, Université de Toulouse, CNRS, INPT, UPS 4 allée Emile Monso, 31030, Toulouse cedex 4, France – sequence: 5 givenname: Julitte surname: Huez fullname: Huez, Julitte organization: CIRIMAT, Université de Toulouse, CNRS, INPT, UPS 4 allée Emile Monso, 31030, Toulouse cedex 4, France – sequence: 6 givenname: Denis surname: Delagnes fullname: Delagnes, Denis organization: Université de Toulouse, CNRS, Mines Albi, INSA, UPS, ISAE, ICA (Institut Clément Ader), Campus Jarlard, 81013, Albi, France – sequence: 7 givenname: Claude surname: Estournès fullname: Estournès, Claude email: estournes@chimie.ups-tlse.fr organization: CIRIMAT, Université de Toulouse, CNRS, INPT, UPS 118 route de Narbonne, 31062, Toulouse cedex 9, France |
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| Copyright | 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Distributed under a Creative Commons Attribution 4.0 International License |
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| Keywords | Ti–6Al–4V Spark Plasma Sintering Process Norton-Green Compaction Model f |
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| Notes | ArticleID:ADEM201600348 istex:B45AEF4F70EDC92B96A8A200901B695D2065E465 The support of the Plateforme Nationale CNRS de Frittage Flash (PNF2/CNRS) is gratefully appreciated. C. M. and C. E. thank the French National Research Agency (ANR) for financial support of this study within project ANR09 MAPR-007 Impulsé. ark:/67375/WNG-F4KT4284-S ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
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| SubjectTerms | Creep tests Densification Engineering Sciences Industrial development Materials Mathematical models Parameter identification Sintering (powder metallurgy) Spark plasma sintering Titanium base alloys |
| Title | Identification of the Norton-Green Compaction Model for the Prediction of the Ti-6Al-4V Densification During the Spark Plasma Sintering Process |
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