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Record W2463756653 · doi:10.5539/mas.v10n10p82

Adsorption Aspects, Inhibitory Properties and a Study of Surface Corrosion of Carbon Steel in Acidic Media

2016· article· en· W2463756653 on OpenAlexvenueno aff
A. Yousif Qhatan, A. Al-Zhara Adel

Bibliographic record

VenueModern Applied Science · 2016
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsnot available
Fundersnot available
KeywordsAdsorptionCorrosionCarbon steelMaterials scienceLangmuir adsorption modelElectrochemistryElectrodeLayer (electronics)Corrosion inhibitorCarbon fibersKineticsChemical engineeringInorganic chemistryMetallurgyChemistryComposite materialPhysical chemistryComposite number

Abstract

fetched live from OpenAlex

The impact of cupral compound on steel in presence of deaerated 0.25 M H2SO4 and 0.5M HClacidic solutions at 298.15K was examined by employing electrochemical measurements. It has been observed that the corrosion efficiency increased by increasing of cupral concentration of the corrosion inhibitor and this enhanced the inhibitory action as mixed type inhibitor. Several different adsorption models were examined which indicate the adsorption of cupral compound as inhibitor on the carbon steel electrode surface follows the Langmuir isotherm equation. The thermodynamic factors governing adsorption, as well as the parameters of kinetics corrosion have been estimated. The role of nanosilica has been observed to reduce the values of current density of corrosion process and this was confirmed by study the surface morphology of electrode via SEM-EDX and AFM techniques by formation a protective layer on carbon steel electrode.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.315

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.032
GPT teacher head0.233
Teacher spread0.201 · 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 designBench or experimental
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

Citations4
Published2016
Admission routes1
Has abstractyes

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