Experiment design for the neutron irradiation of PM-HIP alloys for nuclear reactors

Guillen, Donna Post; Wharry, Janelle P.; Housley, G. K.; Hale, Cody; Brookman, Jason; Gandy, David

doi:10.1016/j.nucengdes.2022.112114

Cited by 12 publications

(8 citation statements)

References 34 publications

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“…The irradiation temperatures were determined to be 448, 430, and 683 °C, respectively [ 27 ], based on ABAQUS calculations with input from reactor instrumentation and SiC melt wires, following methods described in ref. [ 28 ] with temperature uncertainties of approximately ±20 °C.…”

Section: Methodsmentioning

confidence: 99%

“…The irradiation temperatures were determined to be 448, 430, and 683 • C, respectively [27], based on ABAQUS calculations with input from reactor instrumentation and SiC melt wires, following methods described in ref. [28] with temperature uncertainties of approximately ±20 • C. A proton irradiation was also conducted to conditions falling within the dose and temperature range bounded by the neutron irradiations, as shown in Table 2. For proton irradiation, a specimen from the same ingot of alloy D9 was cut into a 2 mm × 2 mm × 20 mm matchstick using EDM.…”

Section: Alloy Preparation and Irradiationmentioning

confidence: 99%

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Nanocluster Evolution in D9 Austenitic Steel under Neutron and Proton Irradiation

Mullurkara,

Bejawada,

Sen

et al. 2023

Materials

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Austenitic stainless steel D9 is a candidate for Generation IV nuclear reactor structural materials due to its enhanced irradiation tolerance and high-temperature creep strength compared to conventional 300-series stainless steels. But, like other austenitic steels, D9 is susceptible to irradiation-induced clustering of Ni and Si, the mechanism for which is not well understood. This study utilizes atom probe tomography (APT) to characterize the chemistry and morphology of Ni–Si nanoclusters in D9 following neutron or proton irradiation to doses ranging from 5–9 displacements per atom (dpa) and temperatures ranging from 430–683 °C. Nanoclusters form only after neutron irradiation and exhibit classical coarsening with increasing dose and temperature. The nanoclusters have Ni3Si stoichiometry in a Ni core–Si shell structure. This core–shell structure provides insight into a potentially unique nucleation and growth mechanism—nanocluster cores may nucleate through local, spinodal-like compositional fluctuations in Ni, with subsequent growth driven by rapid Si diffusion. This study underscores how APT can shed light on an unusual irradiation-induced nanocluster nucleation mechanism active in the ubiquitous class of austenitic stainless steels.

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Section: Methodsmentioning

confidence: 99%

Section: Alloy Preparation and Irradiationmentioning

confidence: 99%

Nanocluster Evolution in D9 Austenitic Steel under Neutron and Proton Irradiation

Mullurkara,

Bejawada,

Sen

et al. 2023

Materials

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“…Experimental data sources can vary widely depending on research goals, and available resources. Experiments in nuclear engineering are performed for different applications (Geslot et al, 2023;Guillen et al, 2023;Zhang et al, 2023).…”

Section: Experimental Data Sourcesmentioning

confidence: 99%

Application of artificial intelligence technologies and big data computing for nuclear power plants control: a review

Ejigu,

Tuo,

Liu

2024

Front. Nucl. Eng.

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Nuclear power plants produce a massive amount of clean energy and necessitate safe operation through intelligence technologies. Recently, the rapid advancements in communication infrastructures including artificial intelligence, big data computing, and Internet of Things devices moving the nuclear industries towards digitalization and intelligence to improve safety. The integration of these technologies into the nuclear sector offers effective tactics in addressing several challenges in the control and safe operation of nuclear power plants. This can be achieved through the insights generated from massive amounts of data. This paper comprehensively reviews the literature on artificial intelligence technologies and big data, seeking to provide a holistic perspective on their relations and how they can be integrated with nuclear power plants. The utilization of computing platforms boosts the deployment of artificial intelligence and big data analytics effectively in nuclear power plants. Further, this review also points out the future opportunities as well as challenges for applying artificial intelligence and big data computing in the nuclear industry.

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“…More comprehensive description of the alloy compositions, fabrication and heat treatment details, and specimen machining methods are described in ref. (Guillen et al, 2023).…”

Section: The Nsuf Programmentioning

confidence: 99%

Materials qualification through the Nuclear Science User Facilities (NSUF): a case study on irradiated PM-HIP structural alloys

Wharry,

Guillen,

Clement

et al. 2023

Front. Nucl. Eng.

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This article presents neutron irradiation and post-irradiation examination (PIE) capabilities available to the nuclear materials research community through the US Department of Energy’s Nuclear Science User Facilities (NSUF). The pressing need to deploy advanced nuclear reactors to combat climate change requires qualification of new fuels and materials. Among advanced manufacturing processes, powder metallurgy with hot isostatic pressing (PM-HIP) is nearest to becoming qualified for nuclear applications. This article provides examples from a recent irradiation and PIE program on a series of structural alloys fabricated by PM-HIP to illustrate how NSUF capabilities can be used to generate qualification data. The neutron irradiation experiments are described, and a sampling of results from tensile testing, nanoindentation, transmission electron microscopy, and atom probe tomography are presented, showing the favorable performance of PM-HIP alloys compared to their cast or forged counterparts under irradiation. This article provides a perspective on leveraging NSUF for future nuclear fuels and materials testing and qualification.

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Experiment design for the neutron irradiation of PM-HIP alloys for nuclear reactors

Cited by 12 publications

References 34 publications

Nanocluster Evolution in D9 Austenitic Steel under Neutron and Proton Irradiation

Nanocluster Evolution in D9 Austenitic Steel under Neutron and Proton Irradiation

Application of artificial intelligence technologies and big data computing for nuclear power plants control: a review

Materials qualification through the Nuclear Science User Facilities (NSUF): a case study on irradiated PM-HIP structural alloys

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