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Record W4387415902 · doi:10.1063/5.0150710

Thermal hydraulic static operation of a chloride molten salt shut-off valve

2023· article· en· W4387415902 on OpenAlexaff
Dimitri Madden, Aaron Overacker, Kenneth Armijo, Tom Gosling

Bibliographic record

VenueAIP conference proceedings · 2023
Typearticle
Languageen
FieldEngineering
TopicPhase Change Materials Research
Canadian institutionsVale (Canada)
FundersSolar Energy Technologies OfficeNational Nuclear Security AdministrationSandia National LaboratoriesU.S. Department of Energy
KeywordsMolten saltThermalSafety valveThermal hydraulicsShut downChloridePetroleum engineeringMaterials scienceSalt (chemistry)Nuclear engineeringChemistryGeologyMetallurgyMechanicsHeat transferMechanical engineeringThermodynamicsEngineeringPhysics

Abstract

fetched live from OpenAlex

The Sandia National Laboratories (SNL) National Solar Thermal Test Facility (NSTTF) conducted efficacy testing on a shut-off isolation valve for use with molten ternary chloride salt.A ball valve was tested under controlled N2 ullage gas pressure and connected with flanged fittings that featured a spiral-wound gasket.The valve assembly consisted of boronized nickel coated SS316 components, with design features that greatly reduce the cost of overall valve assembly.Testing results showed that the valve did not leak, and post-test analysis demonstrated that the ball, seat, packing, and body all survived both the heat loads and the relative corrosive environment.Spiral-wound gaskets for flanged connections used in the system also functioned nominally, with no leaks or signs of failures during post-test analysis.However, testing was ultimately forced to rapidly stop after testing between 500-530°C as the actuator used on the valve failed in the heat, preventing the valve from sealing in the closed position.In addition, salt plugs and salt vapor plating also prevented the test from continuing.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.048
GPT teacher head0.287
Teacher spread0.240 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2023
Admission routes1
Has abstractyes

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