Corrosion and Deposition of Steels and Nickel-Base Alloys in Liquid Sodium

Weeks, J.R.; Isaacs, H.S.

doi:10.1007/978-1-4615-8258-8_1

Cited by 24 publications

(15 citation statements)

References 17 publications

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“…where the first term dominates at early exposures, when nickel is being dissolved at a relatively high rate, and the second term becomes more important at longer times, when the constituents of the steel are released into the liquid metal in proportion to their starting concentration [9]. A weight loss (or dissolution) rate can then be obtained from .long-term data by determination of the slope of the weight loss versus time curve (lcf).…”

Section: Discussionmentioning

confidence: 99%

Corrosion of ferrous alloys exposed to thermally convective Pb-17 at% Li

Tortorelli

DeVan

1986

Journal of Nuclear Materials

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A type 316 stainless steel thermal convection loop with type 316 stainless steel coupons and a Fe-9 Cr-1 Mo steel loop containing Fe-12 Cr-1 MoVW steel specimens circulated molten Pb-17 at. % Li at a maximum temperature of 500°C. Specimens were exposed for greater than 6000 h. Mass loss and surface characterization data were compared for these two alloys. At any particular exposure time, the corrosion of type 316 stainless steel by Pb-17 at. % Li was more severe, and of a different type than that of similarly exposed Fe-12 Cr-1 MoVW steel. The austenitic alloy suffered nonuniform penetration and dissolution by the lead-lithium, whereas the Fe-12 Cr-1 MoVW steel tended to be more uniformly corroded. The presence of a ferritic layer on the type 316 stainless steel, and its susceptibility to spalling during specimen cleaning, were shown to be important in evaluating the data and in comparing corrosion losses for the two types of alloys. A model for the nonuniform penetration of type 316 stainless steel by Pb-17 at. % Li was suggested. By acceptance of thit article, the I publisher or recipient acknowledge! [ the US. Government's right to retein a nonexclusive, royalty-free license in end to any copyright covering the erticle. DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, procsss, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or my agency thereof.

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Section: Discussionmentioning

confidence: 99%

Corrosion of ferrous alloys exposed to thermally convective Pb-17 at% Li

Tortorelli

DeVan

1986

Journal of Nuclear Materials

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“…in heat transfer systems), dissolution of material in one region can lead to mass transfer and deposition of solute in other parts of the system (typically at lower temperature) [41]. Studies with sodium in support of LMFBR concepts led to a more thorough characterization of the factors affecting dissolution [42][43][44] and modeling of mass transfer [36,37,45].…”

Section: Corrosion In Liquid Metal Coolantsmentioning

confidence: 99%

Critical questions in materials science and engineering for successful development of fusion power

Bloom

Busby

Duty

et al. 2007

Journal of Nuclear Materials

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“…Instead of using weight loss rate for corrosion, select the surface recession rate to represent the corrosion rate, it is gotten [24]:…”

Section: Stoichiometric Corrosionmentioning

confidence: 99%

“…Therefore, most of the corrosion models for liquid metal corrosion not considering the coming out particles transport predict a higher corrosion rate compared with experimental data. The particulate model was first developed by Wachtel et al [20] and then analyzed by Polley and Skyrme [6] and Weeks and Isaacs [21].…”

Section: Particulate Modelmentioning

confidence: 99%