An Evaluation of the Global Effects of Tritium Emissions from Nuclear Fusion Power

Larsen, George K.; Babineau, D.

doi:10.1016/j.fusengdes.2020.111690

Cited by 13 publications

(2 citation statements)

References 48 publications

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“…Nuclear power plays a great role in promoting energy transition, and the safety, maintenance, and overhaul of nuclear power facilities are crucial links in the nuclear power industry (Larsen and Babineau, 2020 ; Liu et al, 2020 ; Mallants et al, 2020 ; Park and Lee, 2020 ; Zhao et al, 2020 ). In recent years, more and more robots have been developed to serve nuclear power plants (Kim et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Neural network aided flexible joint optimization with design of experiment method for nuclear power plant inspection robot

Wang

Li²,

Ma³

et al. 2023

Front. Neurorobot.

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IntroductionThe flexible joint is a crucial component for the inspection robot to flexible interaction with nuclear power facilities. This paper proposed a neural network aided flexible joint structure optimization method with the Design of Experiment (DOE) method for the nuclear power plant inspection robot.MethodsWith this method, the joint's dual-spiral flexible coupler was optimized regarding the minimum mean square error of the stiffness. The optimal flexible coupler was demonstrated and tested. The neural network method can be used for the modeling of the parameterized flexible coupler with regard to the geometrical parameters as well as the load on the base of the DOE result.ResultsWith the aid of the neural network model of the stiffness, the dual-spiral flexible coupler structure can be fully optimized to a target stiffness, 450 Nm/rad in this case, and a given error level, 0.3% in the current case, with regard to the different loads. The optimal coupler is fabricated with wire electrical discharge machining (EDM) and tested.DiscussionThe experimental results demonstrate that the load and angular displacement keep a good linear relationship in the given load range and this optimization method can be used as an effective method and tool in the joint design process.

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Section: Introductionmentioning

confidence: 99%

Neural network aided flexible joint optimization with design of experiment method for nuclear power plant inspection robot

Wang

Li²,

Ma³

et al. 2023

Front. Neurorobot.

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“…However, the environment conditions in thermonuclear fusion applications are even harsher, which raise additional challenges for the materials being used in such applications [4]. In particular, the materials used in the reactor are exposed to a high flux of neutrons, gamma-ray and X-ray radiation, and products/byproducts of nuclear reaction, including tritium [5,6].…”

Section: Introductionmentioning

confidence: 99%

Photoluminescence Induced in Mineral Oil by Ionizing Radiation

Bliznyuk,

Smith,

Guin

et al. 2023

Lubricants

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We have studied photoluminescence (PL) properties of vacuum pump mineral oil as a function of the type and intensity of ionizing radiation exposure. The mineral oil has a simple aliphatic structure, which possesses no chromophore in the traditional sense. Unexpected PL in the mineral oil has characteristic features such as variation of the emission peak wavelength depending on the excitation wavelength and intensity dramatically increasing with radiation dose. The observed behavior can be understood in the framework of a previously suggested model introducing aggregation-induced PL and the formation of conjugated clusters comprising nontraditional chromophores. Our findings can be used for the development of optical sensors for real-time monitoring of oil utilized in vacuum pumps in nuclear fusion reactors.

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Bifunctionally Hydrophobic MOF‐Supported Platinum Catalyst for the Removal of Ultralow Concentration Hydrogen Isotope

Heo,

Jang,

Jeong

et al. 2024

Energy & Environ Materials

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Water often presents significant challenges in catalysts by deactivating active sites, poisoning the reaction, and even degrading composite structure. These challenges are amplified when the water participates as a reactant and is fed as a liquid phase, such as trickle bed‐type reactors in a hydrogen‐water isotope exchange (HIE) reaction. The key balance in such multiphase reactions is the precise control of catalyst design to repel bulk liquid water while diffusing water vapor. Herein, a platinum‐incorporated metal‐organic framework (MIL‐101) based bifunctional hydrophobic catalyst functionalized with long alkyl chains (C12, dodecylamine) and further manufactured with poly(vinylidene fluoride), Pt@MIL‐101‐12/PVDF, has been developed which can show dramatically improved catalytic activity under multi‐phase reactions involving hydrogen gas and liquid water. Pt@MIL‐101‐12/PVDF demonstrates enhanced macroscopic water‐blocking properties, with a notable reduction of over 65% in water adsorption capacity and newly introduced liquid water repellency, while exhibiting a negligible increase in mass transfer resistance, i.e., bifunctional hydrophobicity. Excellent catalytic activity, evaluated via HIE reaction, and its durability underscore the impact of bifunctional hydrophobicity. In situ DRIFTS analysis elucidates water adsorption/desorption dynamics within the catalyst composite, highlighting reinforced water diffusion at the microscopic level, affirming the catalyst's bifunctionality in different length scales. With demonstrated radiation resistance, Pt@MIL‐101‐12/PVDF emerges as a promising candidate for isotope exchange reactions.

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An Evaluation of the Global Effects of Tritium Emissions from Nuclear Fusion Power

Cited by 13 publications

References 48 publications

Neural network aided flexible joint optimization with design of experiment method for nuclear power plant inspection robot

Neural network aided flexible joint optimization with design of experiment method for nuclear power plant inspection robot

Photoluminescence Induced in Mineral Oil by Ionizing Radiation

Bifunctionally Hydrophobic MOF‐Supported Platinum Catalyst for the Removal of Ultralow Concentration Hydrogen Isotope

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