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Record W3025302671 · doi:10.1149/09707.0505ecst

Investigation of the Effect of Bath Ageing on Electropolishing Efficiency

2020· article· en· W3025302671 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueECS Transactions · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvanced Machining and Optimization Techniques
Canadian institutionsConcordia University
Fundersnot available
KeywordsElectropolishingPolishingPhosphoric acidTitrationMaterials scienceConductivityMetallurgyViscosityChemistryComposite materialInorganic chemistryElectrolytePhysical chemistry

Abstract

fetched live from OpenAlex

The bath age poses a serious challenge while maintaining consistency in polishing qualities during prolonged electropolishing. It is a general practice in the industry to reuse the bath to cut down the cost and to minimise the harmful effects on the environment. The final polishing quality declines over time due to the increased dissolved metal ions. The present study presents the systematic data and a model to quantify the polishing bath status over prolonged electropolishing of stainless steel in an initial bath composed of 50% phosphoric acid, 35% sulphuric acid and remaining water. Variations in the properties of the bath (conductivity, specific gravity and viscosity) were measured and the variations in the quality of standard workpieces polished under identical conditions were determined at various bath ages. Further bath composition was determined periodically by titration.

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.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.831
Threshold uncertainty score0.185

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 head0.007
GPT teacher head0.205
Teacher spread0.198 · 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