MétaCan
Menu
Back to cohort
Record W4385392005 · doi:10.2172/1992648

FY 2016 Progress Report on the ANL Sodium Draining and Refilling Experiments

2016· report· en· W4385392005 on OpenAlexaff
David Chojnowski, E. Boron, J.J. Sienicki, Dennis Kildonk, C. B. Reed

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicThermodynamic and Structural Properties of Metals and Alloys
Canadian institutionsCascades (Canada)
FundersArgonne National LaboratoryUniversity of ChicagoU.S. Department of Energy
KeywordsSodiumSodium-cooled fast reactorDecay heatHeat exchangerSodium channelChemistryMaterials scienceWaste managementNuclear chemistryThermodynamicsMetallurgyEngineeringPhysics

Abstract

fetched live from OpenAlex

The main incentive for utilization of compact diffusion-bonded sodium-to-CO<sub>2</sub> heat exchangers for a Sodium-Cooled Fast Reactor (SFR) with a supercritical carbon dioxide (sCO<sub>2</sub>) Brayton cycle power converter is the potential for reduction in heat exchanger size and cost relative to traditional shell-and-tube technology. There is an incentive for the designer to reduce the width of the sodium and CO<sub>2</sub> channels as much as possible to realize the greatest size and cost reductions. However, there are practical limits on minimum channel size due to fundamental phenomena particular to sodium and CO<sub>2</sub>. One is that the channel size must be large enough to enable the rapid draining of sodium from the heat exchanger sodium channels in the event that a sodium leak is detected in an intermediate sodium heat transport system loop, in order to rapidly drain the sodium into the loop sodium storage vessel/tank and thereby limit the sodium mass released that could potentially burn if exposed to air. Information about the minimum sodium channel size can only be obtained by actually draining sodium from representative stainless steel sodium channels under prototypical conditions. It is not possible to obtain such information through modeling and simulation or through simulant experiments. The ANL Sodium Draining and Refilling experiment facility has been designed and is being assembled to obtain data on the draining of sodium from compact diffusion bonded sodium-to-carbon dioxide heat exchanger sodium channels including the mass of sodium drained versus time, the mass of sodium retained inside of the channels, and the potential for sodium to bridge the channel, freeze, and form a plug inside the channel versus the channel size. This information is needed to determine the minimum sodium channel size required to meet the requirements for sodium draining without bridges being left inside of the channels. Initial shakedown testing has been initiated using water and glass tubes before transitioning to sodium and stainless steel test sections. For the latter, the test sections will be heated to promote rapid sodium wetting of the stainless steel prior to draining. Testing with sodium will be initiated in FY 2017.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.789
Threshold uncertainty score0.729

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.263
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicThermodynamic and Structural Properties of Metals and AlloysFrench-language works237,207