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Record W3025178834 · doi:10.29169/1927-5129.2020.16.02

Eco-Friendly Tri-Sodium Citrate as Corrosion Inhibitor for Mild Steel in Synthetic Cooling Water System

2020· article· en· W3025178834 on OpenAlexvenueno aff
Touir, A. Koulou, Mohammed Chahboune, Y. El Kacimi, H. Larhzil

Bibliographic record

VenueJournal of Basic & Applied Sciences · 2020
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsnot available
Fundersnot available
KeywordsDielectric spectroscopyCorrosionAdsorptionScanning electron microscopePoint of zero chargeLangmuir adsorption modelElectrochemistryPolarization (electrochemistry)DissolutionMaterials scienceCorrosion inhibitorNuclear chemistryChemistrySodium citrateInorganic chemistryMetallurgyComposite materialOrganic chemistryElectrodePhysical chemistry

Abstract

fetched live from OpenAlex

The influence of an ecofriendly tri-sodium citrate (TSC) on the inhibition of mild steel corrosion in synthetic cooling water was studied by using potentiodynamic polarization (PP), and electrochemical impedance spectroscopy (EIS) measurements. The state of mild steel surface was characterized by scanning microscopy electron (SEM) analysis. It is found that TSC acts as an anodic type inhibitor where its inhibition increases with concentration to reach a maximum of 89 % at 10-3 M. Indeed, the EIS plots revealed that TSC increases the polarization resistance of mild steel confirming the current-potential measurement and indicated that the inhibition efficiency of TSC increase with immersion time until 24 h of immersion. SEM investigation demonstrated that the inhibition of mild steel in corrosive/TSC solution was realized by the TSC molecules adsorption onto mild steel to prevent the dissolution process by blocking the active sites on its surface. Thus, it is shown that the TSC obey to the Langmuir isotherm and it is adsorbed via both physical and chemical adsorption which can explain by potential of zero charge (PZC) technique.

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)0.002
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 score0.005
Threshold uncertainty score0.533

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.030
GPT teacher head0.262
Teacher spread0.233 · 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

Citations5
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Basic & Applied SciencesSame topicCorrosion Behavior and InhibitionFrench-language works237,207