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Identification of the Norton‐Green Compaction Model for the Prediction of the Ti–6Al–4V Densification During the Spark Plasma Sintering Process
Author(s) -
Manière Charles,
Kus Ugras,
Durand Lise,
Mainguy Ronan,
Huez Julitte,
Delagnes Denis,
Estournès Claude
Publication year - 2016
Publication title -
advanced engineering materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 114
eISSN - 1527-2648
pISSN - 1438-1656
DOI - 10.1002/adem.201600348
Subject(s) - spark plasma sintering , compaction , materials science , sintering , powder metallurgy , porosity , metallurgy , spark (programming language) , process (computing) , alloy , composite material , computer science , operating system , programming language
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.