EFFECT OF MICROSTRUCTURE AND PHOSPHORUS CONTENT ON THE CORROSION BEHAVIOUR OF ELECTROLESS NICKEL-PHOSPHORUS COATINGS
Bibliographic record
Abstract
The effects of microstructure and phosphorus (P) content on the corrosion characteristics of electroless Ni-P coatings on mild steel in a 3.5 wt% NaCl solution were investigated using a potentiodynamic technique. The results indicate that the anodic and cathodic behaviour of the coatings varied with changes in the structure, morphology and phosphorus contents of the coatings. Different alloy compositions and heat treatment conditions influenced both the microstructural characteristics and crystallization behaviour of the deposit. The addition of thiourea to the electroless plating solution increased the intrinsic stress due to the stabilizing effect on the bath. It is postulated that the coating should enjoy enhanced corrosion resistance for applications where mild steel is in contact with a saline environment.On a étudié les effets de la microstructure et de la teneur en phosphore (P) sur les caractéristiques de corrosion de revêtements de déposition autocatalytique de Ni-P sur l’acier à faible teneur en carbone dans une solution de 3.5% en poids de NaCl, en utilisant une technique potentiocinétique. Les résultats indiquent que les comportements anodique et cathodique des revêtements variaient avec les changements de structure, de morphologie et de teneur en phosphore des revêtements. Différentes compositions d’alliage et différentes conditions de traitement thermique influençaient à la fois les caractéristiques de microstructure et le comportement de cristallisation du dépôt. L’addition de thiourée à la solution de déposition autocatalytique augmentait la contrainte intrinsèque, dû à l’effet de stabilisation du bain. On postule que le revêtement devrait jouir d’une résistance améliorée à la corrosion dans les applications où l’acier à faible teneur en carbone est en contact avec un environnement salin.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".