2011
DOI: 10.1179/026708309x12506933873503
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Microstructural control of maraging steel C300

Abstract: The microstructure evolution and precipitation kinetics of maraging steel C300 have been studied in the aging temperature range from 400 to 600°C. The relation between mechanical properties and precipitation hardening response is explained, and modelling is used to optimise the properties. Ultrafine needle shaped Ni3Ti phase is the main strengthening precipitate in maraging C300, and it shows very high resistance to coarsening. A spherically shaped Fe2Mo phase is formed at higher temperatures and in the overag… Show more

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Cited by 50 publications
(23 citation statements)
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“…For a prior-austenite grain size of 20 μm, σ Mart = 450 MPa, whereas for the alloys tested, σ ss values range between 300 and 500 MPa. This gives the initial hardness to be in the range 250-330 H v , being these predictions in agreement with experimental estimations for the hardness in as-quenched conditions [3,20,25,26].…”
Section: U N C O R R E C T E D P R O O Fsupporting
confidence: 75%
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“…For a prior-austenite grain size of 20 μm, σ Mart = 450 MPa, whereas for the alloys tested, σ ss values range between 300 and 500 MPa. This gives the initial hardness to be in the range 250-330 H v , being these predictions in agreement with experimental estimations for the hardness in as-quenched conditions [3,20,25,26].…”
Section: U N C O R R E C T E D P R O O Fsupporting
confidence: 75%
“…For NiAl, γ p has been estimated to be 0.02 J m −2 in Fe-Ni-Al-Mo [72]; however, the kinetics of NiAl and variants increase with Mn content [25]; hence, based on the effect of Mn in NiMn and austenite reversion, the factor exp(7x Mn ) is added to the interfacial energy: γ NiAl = 0.02exp(7x Mn ) J m −2 ; For Ni 2 AlMn and Ni 2 AlTi, the interfacial energy is assumed to be γ Ni2AlMn = γ Ni2AlTi = 0.1exp(7x Mn ) J m −2 . The interfacial energy of Ni 3 Ti is estimated to be [20] These results provide descriptions with a direct link between the microstructure evolving during ageing and chemical composition. This will allow us to integrate microstructure-based models for yield stress in different steels.…”
Section: Modelling Precipitation Kineticsmentioning
confidence: 71%
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