High-throughput ion irradiation of additively manufactured compositionally complex alloys

Moorehead, Michael; Nelaturu, Phalgun; Elbakhshwan, Mohamed; Parkin, Calvin; Zhang, Chuan; Sridharan, Kumar; Thoma, Dan J.; Couet, Adrien

doi:10.1016/j.jnucmat.2021.152782

Cited by 22 publications

(9 citation statements)

References 29 publications

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“…The alloy compositions were targeted toward high Ni and low Cr to stabilize a single‐phase FCC structure across all compositions and follow molten salt alloy design baseline requirements. To remove the dendritic compositional segregation and residual stresses, which are often observed in the as‐printed alloys, [ 14 ] the 25 printed alloys were simultaneously homogenized at 1000 °C for 24 h in a vacuum furnace with a base pressure of 10 –6 torr. A follow‐up heat‐treatment was also performed at 700 °C for 24 h to obtain a stable microstructure of the printed alloys for subsequent corrosion testing.…”

Section: Resultsmentioning

confidence: 99%

Integrated High‐Throughput and Machine Learning Methods to Accelerate Discovery of Molten Salt Corrosion‐Resistant Alloys

et al. 2022

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Insufficient availability of molten salt corrosion-resistant alloys severely limits the fruition of a variety of promising molten salt technologies that could otherwise have significant societal impacts. To accelerate alloy development for molten salt applications and develop fundamental understanding of corrosion in these environments, here an integrated approach is presented using a set of high-throughput (HTP) alloy synthesis, corrosion testing, and modeling coupled with automated characterization and machine learning. By using this approach, a broad range of Cr-Fe-Mn-Ni alloys are evaluated for their corrosion resistances in molten salt simultaneously demonstrating that corrosion-resistant alloy development can be accelerated by 2 to 3 orders of magnitude. Based on the obtained results, a sacrificial protection mechanism is unveiled in the corrosion of Cr-Fe-Mn-Ni alloys in molten salts which can be applied to protect the less unstable elements in the alloy from being depleted, and provided new insights on the design of high-temperature molten salt corrosion-resistant alloys.

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Section: Resultsmentioning

confidence: 99%

Integrated High‐Throughput and Machine Learning Methods to Accelerate Discovery of Molten Salt Corrosion‐Resistant Alloys

et al. 2022

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“…Therefore, the DED technique can readily produce functionally graded materials. Figure 3 shows the work performed by Yu et al screening the composition space for metallic glass formation using the laser-based powder-feed DED process [12] . The XRD can be applied to identify the amorphous phase formation.…”

Section: Ht Processing Using Ammentioning

confidence: 99%

“…Another work performed by Moorehead et al also demonstrated the advantage of the in-situ alloying capability of the DED system [13] . Similar to the study by Yu et al, the printed alloy sample matrix was subjected to ion irradiation to identify alloy compositions that are less susceptible to irradiation damage [12] . In another representative study by Nie et al, a simple bimetallic sample from stainless steel (SS) 316L -431 was printed on the carbon steel substrate and then subjected to a corrosion test evaluating the corrosion behavior with such a bi-material gradient [14] .…”

Section: Ht Processing Using Ammentioning

confidence: 99%

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Additive manufacturing as a tool for high-throughput experimentation

Xiong¹

2022

J Mater Inf

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Additive manufacturing (AM) is a disruptive technology with a unique capability in fabricating parts with complex geometry and fixing broken supply chains. However, many AM techniques are complicated with their processing features due to complex heating and cooling cycles with the melting of feedstock materials. Therefore, it is quite challenging to directly apply the materials design and processing optimization method used for conventional manufacturing to AM techniques. In this viewpoint paper, we discuss some of the ongoing efforts of high-throughput (HT) experimentation, which can be used for materials development and processing design. Particularly, we focus on the beam- and powder-based AM techniques since these methods have demonstrated success in HT experimentation. In addition, we propose new opportunities to apply AM techniques as the materials informatic tools contributing to materials genome.

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“…The irradiation damage and the irradiationassisted stress corrosion cracking behavior of both proton-irradiated AM and wrought 316L stainless steel were examined with about 4% plastic strain [53]. The AM alloys were homogenized at 1000 °C for 24 h and each sample was irradiated using 4 MeV Ni 2+ ions at room temperature to a peak damage of 50 dpa, with the hardness increases ranging from ∼ 1 to 1.5 GPa [54]. In situ high-energy X-ray diffraction and X-ray tomography were used to study the room-temperature tensile behavior of AM 316L stainless steel, which showed that the AM 316L had a very low dislocation barrier strength throughout the plastic deformation and large pores close to the surface might have significant roles in the necking stage [55].…”

Section: Irradiation Damage Behaviorsmentioning

confidence: 99%

A Review of the Latest Developments in the Field of Additive Manufacturing Techniques for Nuclear Reactors

Zhang

et al. 2022

Crystals

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This review paper provides insights the into current developments in additive manufacturing (AM) techniques. The comprehensive presentations about AM methods, material properties (i.e., irradiation damage, as-built defects, residual stresses and fatigue fracture), experiments, numerical simulations and standards are discussed as well as their advantages and shortages for the application in the field of nuclear reactor. Meanwhile, some recommendations that need to be focused on are presented to advance the development and application of AM techniques in nuclear reactors. The knowledge included in this paper can serve as a baseline to tailor the limitations, utilize the superiorities and promote the wide feasibilities of the AM techniques for wide application in the field of nuclear reactors.

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High-throughput ion irradiation of additively manufactured compositionally complex alloys

Cited by 22 publications

References 29 publications

Integrated High‐Throughput and Machine Learning Methods to Accelerate Discovery of Molten Salt Corrosion‐Resistant Alloys

Integrated High‐Throughput and Machine Learning Methods to Accelerate Discovery of Molten Salt Corrosion‐Resistant Alloys

Additive manufacturing as a tool for high-throughput experimentation

A Review of the Latest Developments in the Field of Additive Manufacturing Techniques for Nuclear Reactors

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