Precipitation in long term thermally aged high copper, high nickel model RPV steel welds

Styman, Paul; Hyde, J.M.; Wilford, K.; Morley, Andrew; Smith, George Adam

doi:10.1016/j.pnucene.2011.10.010

Cited by 71 publications

(25 citation statements)

References 23 publications

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“…Previous thermodynamic models suggested that in addition to enriching the Cu core, solutes such as Mn, Ni and Si form a surrounding shell due to reduction of the high interfacial energy between Fe and Cu [18]. Such core-shell structures were subsequently widely reported in APT studies, both under irradiation and thermal aging conditions [16,[19][20][21]. More recently, APT showed that at longer times (or higher irradiation fluence) after Cu in matrix is depleted, and when more Mn, Ni and Si atoms come out of solution, the core-shell structure gives way to a Cu-core-MnNiSi-appendage co-precipitate morphology.…”

Section: Introductionmentioning

confidence: 95%

Thermodynamics and kinetics of core-shell versus appendage co-precipitation morphologies: An example in the Fe-Cu-Mn-Ni-Si system

Shu¹,

Wells²,

Almirall³

et al. 2018

Acta Materialia

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What determines precipitate morphologies in co-precipitating alloy systems? We focus on alloys of two precipitating phases, with the fast-precipitating phase acting as heterogeneous nucleation sites for a second phase manifesting slower kinetics. Kinetic lattice Monte Carlo simulations show that the interplay between interfacial and ordering energies, plus active diffusion paths, strongly affect the selection of core-shell verses appendage morphologies. We study a FeCuMnNiSi alloy using the combination of atom probe tomography and simulations, and show that the ordering energy reduction of the MnNiSi phase heterogeneously nucleated on a pre-existing copper-rich precipitate exceeds the energy penalty of a predominantly Fe/Cu interface, leading to initial appendage, rather than core-shell, formation. Diffusion of Mn, Ni and Si around and through the Cu core towards the ordered phase results in subsequent appendage growth. We further show that in cases with higher primary precipitate interface energies and/or suppressed ordering, the coreshell morphology is favored.3

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Section: Introductionmentioning

confidence: 95%

Thermodynamics and kinetics of core-shell versus appendage co-precipitation morphologies: An example in the Fe-Cu-Mn-Ni-Si system

Shu¹,

Wells²,

Almirall³

et al. 2018

Acta Materialia

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“…As commonly seen in Tables 2~4, higher Mo and Mn are observed in the area where Cr and C concentrations are relatively high. According to Styman et al [26], C has a very strong attraction for Mo, Mn and Cr, and so drives the segregation of these elements to the boundary, which in turn drives more C to the boundary. In addition, Mo has a strong affinity with P and so drives this to the boundary.…”

Section: Resultsmentioning

confidence: 99%

“…There are similar precedents that some precipitates were observed by 3D APT. Miller et al [23][24][25][26][27][28][29][30][31][32][33][34][35] observed copper-, nickel-, manganese-and silicon-enriched precipitates in reactor pressure vessel weld steel and base steel by using 3D APT. They applied the technology of 3D APT to show that the precipitates coarsened during neutron irradiation and post irradiation heat treatment.…”

Section: Discussionmentioning

confidence: 99%

“…They applied the technology of 3D APT to show that the precipitates coarsened during neutron irradiation and post irradiation heat treatment. In addition, Styman et al [26] found copper-enriched precipitation in long-term, thermally aged high copper and high nickel mode reactor pressure vessel steel welds. As shown in the previous studies, the atom probe is a tool able to analyze nanoscale precipitates.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Three Dimensional Atom Probe Study of Ni-Base Alloy/Low Alloy Steel Dissimilar Metal Weld Interfaces

Choi¹,

Shin²,

Kim³

et al. 2012

Nuclear Engineering and Technology

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“…A prominent example is the investigation of nucleation during the early stages of phase transformations in materials [15][16][17][18][19]. Other popular applications include the onset of segregation of solute ions to defects in materials subject to extreme environments, such as ion/neutron irradiation [20][21][22][23], and the clustering of solute ions in semiconductor devices [24][25][26][27].…”

Section: Defining and Assessing Randomnessmentioning

confidence: 99%

Mining information from atom probe data

et al. 2015

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Whilst atom probe tomography (APT) is a powerful technique with the capacity to gather information containing hundreds of millions of atoms from a single specimen, the ability to effectively use this information creates significant challenges. The main technological bottleneck lies in handling the extremely large amounts of data on spatial-chemical correlations, as well as developing new quantitative computational foundations for image reconstruction that target critical and transformative problems in materials science. The power to explore materials at the atomic scale with the extraordinary level of sensitivity of detection offered by atom probe tomography has not been not fully harnessed due to the challenges of dealing with missing, sparse and often noisy data. Hence there is a profound need to couple the analytical tools to deal with the data challenges with the experimental issues associated with this instrument. In this paper we provide a summary of some key issues associated with the challenges, and solutions to extract or "mine" fundamental materials science information from that data.

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Precipitation in long term thermally aged high copper, high nickel model RPV steel welds

Cited by 71 publications

References 23 publications

Thermodynamics and kinetics of core-shell versus appendage co-precipitation morphologies: An example in the Fe-Cu-Mn-Ni-Si system

Thermodynamics and kinetics of core-shell versus appendage co-precipitation morphologies: An example in the Fe-Cu-Mn-Ni-Si system

Three Dimensional Atom Probe Study of Ni-Base Alloy/Low Alloy Steel Dissimilar Metal Weld Interfaces

Mining information from atom probe data

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