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Characterization of microstructure and property evolution in advanced cladding and duct: Materials exposed to high dose and elevated temperature

Published online by Cambridge University Press:  20 May 2015

Todd R. Allen
Affiliation:
Engineering Physics, University of Wisconsin, Madison, Wisconsin 53706, USA
Djamel Kaoumi*
Affiliation:
Mechanical Engineering, The University of South Carolina, Columbia, South Carolina 29208, USA
Janelle P. Wharry
Affiliation:
Materials Science & Engineering, Boise State University, Boise, Idaho 83725, USA
Zhijie Jiao
Affiliation:
Materials Science & Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA
Cem Topbasi
Affiliation:
Mechanical and Nuclear Engineering, Penn State University, University Park, Pennsylvania 16802, USA
Aaron Kohnert
Affiliation:
Nuclear Engineering, University of Tennessee, Knoxville, Tennessee 37996, USA
Leland Barnard
Affiliation:
Materials Science & Engineering, University of Wisconsin–Madison, Madison, Wisconsin 53706, USA
Alicia Certain
Affiliation:
Pacific Northwest National Laboratory, Richland, Washington 99352, USA
Kevin G. Field
Affiliation:
Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6136, USA
Gary S. Was
Affiliation:
Materials Science & Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA
Dane L. Morgan
Affiliation:
Materials Science & Engineering, University of Wisconsin–Madison, Madison, Wisconsin 53706, USA
Arthur T. Motta
Affiliation:
Mechanical and Nuclear Engineering, Penn State University, University Park, Pennsylvania 16802, USA
Brian D. Wirth
Affiliation:
Nuclear Engineering, University of Tennessee, Knoxville, Tennessee 37996, USA
Y. Yang
Affiliation:
Nuclear Engineering, University of Florida, Gainesville, Florida 32611, USA
*
a) Address all correspondence to this author. e-mail: djamelkaoumi@gmail.com

Abstract

Designing materials for performance in high-radiation fields can be accelerated through a carefully chosen combination of advanced multiscale modeling paired with appropriate experimental validation. The studies reported in this work, the combined efforts of six universities working together as the Consortium on Cladding and Structural Materials, use that approach to focus on improving the scientific basis for the response of ferritic–martensitic steels to irradiation. A combination of modern modeling techniques with controlled experimentation has specifically focused on improving the understanding of radiation-induced segregation, precipitate formation and growth under radiation, the stability of oxide nanoclusters, and the development of dislocation networks under radiation. Experimental studies use both model and commercial alloys, irradiated with both ion beams and neutrons. Transmission electron microscopy and atom probe are combined with both first-principles and rate theory approaches to advance the understanding of ferritic–martensitic steels.

Figure 0

TABLE I. Alloy composition.

Figure 1

FIG. 1. Bell-shaped temperature dependence of Cr RIS in several FM alloys, all irradiated to 3 dpa, showing crossover from Cr enrichment to depletion.

Figure 2

FIG. 2. Temperature dependence of Si, Ni, and Cu RIS in alloy T91 irradiated with 2.0 MeV protons to 3 dpa, showing enrichment between 400 and 500 °C and RIS suppression at 300 and 600 °C.

Figure 3

FIG. 3. Dependence of Cr RIS on grain boundary misorientation in Fe–9Cr model alloy irradiated with fast neutrons to 3 dpa at 500 °C, or with 2.0 MeV protons to 2–3 dpa at 400 °C. Note increasing RIS magnitudes with increasing misorientation for low-angle (<10°) boundaries, and decreasing RIS magnitudes near Σ3 grain boundaries (60°).

Figure 4

FIG. 4. Dependence of Cr RIS on irradiation dose rate for NF616 and T91 irradiated with fast neutrons (∼10−7 dpa/s) and 2.0 MeV protons (∼10−5 dpa/s) at 500 °C to 3 dpa, and with 5.0 MeV Fe++ ions (∼10−3 dpa/s) at 400 °C to 7 dpa.

Figure 5

FIG. 5. Experimental (data points) and predicted (dashed line) grain boundary Cr concentration for a range of boundary misorientations under 3 dpa, 400 °C proton irradiation. Reprinted from Ref. 33.

Figure 6

FIG. 6. Temperature dependence of IK modeled Cr RIS for Fe–9Cr, compared with experimental measurements from 2.0 MeV proton-irradiated T91, at 3 dpa, 10−5 dpa/s.

Figure 7

FIG. 7. Diffusion coefficient ratios of Cr to Fe for vacancies and interstitials in bcc Fe–Cr binary alloys. Crossover temperature, Tcross, decreases for increasing bulk Cr content. Below Tcross, Cr interstitial diffusion dominates, causing Cr enrichment. Above Tcross, Cr vacancy diffusion dominates, resulting in Cr depletion.

Figure 8

FIG. 8. Experimental measurements of the direction of Cr RIS in FM alloys, according to the literature (open symbols) and this work (closed symbols), as compared to the crossover temperature calculated in this work.

Figure 9

FIG. 9. Comparison of irradiation dose evolution of carbides, Cr RIS, and Cr-rich precipitates in T91 and HCM12A irradiated with 2.0 MeV protons at 400 °C.

Figure 10

FIG. 10. Comparison of irradiation dose evolution of Ni–Si–Mn precipitates, and Ni and Si RIS in T91 and HCM12A irradiated with 2.0 MeV protons at 400 °C.

Figure 11

TABLE II. Summary of experimental conditions for RIS investigations.

Figure 12

TABLE III. Precipitate size, number density, volume fraction, and composition as a function of irradiation condition [Jiao 2011, 2012]. N.O. indicates not observed.

Figure 13

FIG. 11. APT image of a tip from HCM12A irradiated with 2 MeV protons to 7 dpa at 400 °C containing NSMPs, CuRPs, and CrRPs. (a) Ni (green), Cu (blue), and Cr (pink) atom maps. (b) NSMPs (green), CuRPs (blue), and CrRPs (pink) highlighted using isosurface plots. The dimensions of the box are 250 × 63 × 63 nm3.

Figure 14

FIG. 12. Dose dependence of precipitate size and number density in HCM12A irradiated with 2 MeV protons at 400 °C.

Figure 15

FIG. 13. Temperature dependence of precipitate size and number density in HCM12A irradiated with 2 MeV protons to 7 dpa.

Figure 16

FIG. 14. Alloy dependence of precipitate size and number density following irradiation with 2 MeV protons to 7 dpa at 400 °C.

Figure 17

FIG. 15. Distribution of Cu-rich, Ni/Si/Mn-rich, and Cr-rich precipitates in T91, HCM121A, and HT-9 following irradiation to 7 dpa at 400 °C. The concentrations of Cr, Cu, Ni, and Si are also listed.

Figure 18

FIG. 16. Effect of dose and irradiation temperature on (a) grain boundary precipitate size and percentage coverage on PAGBs for T91 alloy irradiated at 400 and 500 °C, and (b) relative change (with respect to the unirradiated condition) in the concentration ratios Cr/Fe of M23C6 precipitates present at the PAGBs of alloy T91 following irradiation to 7 dpa at 400 °C and 500 °C.

Figure 19

FIG. 17. Evolution of Ni/Si/Mn-rich and Cu-rich precipitates with dose in HCM12A following Fe++ irradiated at 400 °C.

Figure 20

FIG. 18. Formation of M6C carbides in HCM12A following Fe++ irradiation to 500 dpa at 500 °C.

Figure 21

FIG. 19. Set of Fe–M jump-ratio images from a control 14YWT sample, and 14YWT samples irradiated to 100 dpa at temperatures ranging from −75 to 600 °C. The darker areas correspond to the nanoclusters.

Figure 22

FIG. 20. Bright-field TEM images of the lath structure inside prior-austenite grains of (a) NF616 and (b) 9Cr-model alloys.

Figure 23

FIG. 21. Dark-field TEM images of microstructure evolution of NF616 under 1 MeV Kr irradiation at −223 °C.

Figure 24

FIG. 22. Dark-field TEM images of microstructure evolution of NF616 under 1 MeV Kr irradiation at 200 °C.

Figure 25

FIG. 23. Bright-field transmission electron micrographs of extended defects observed in NF616 and 9Cr-model alloys under 1 MeV Kr irradiations performed at 400 °C (a) and 25 °C (b), respectively.89

Figure 26

FIG. 24. Normalized defect cluster areal density of (a) NF616 and (b) 9Cr-model alloys as a function of dose. The defect cluster density is normalized to the highest value acquired (5.5 dpa at −223 °C for NF616 and 2 dpa at −223 °C for 9Cr-model alloy), plus the error bar.89

Figure 27

FIG. 25. Average defect cluster size of (a) NF616 and (b) 9Cr-model alloys as a function of dose.89

Figure 28

FIG. 26. Saturation density as a function of temperature for each of the three interstitial migration scenarios. The critical size refers to the smallest interstitial cluster which diffuses with a 1.3 eV activation energy.

Figure 29

FIG. 27. Saturation density for each of the three thermal migration scenarios including induced motion for interstitial clusters with 4 or more members.