ALUMINUM PROTECTIVE COATINGS - FATIGUE AND BOND STRENGTH PROPERTIES WITH RESPECT TO SURFACE PREPARATION TECHNIQUES: LASER ABLATION, SHOT PEENING AND GRIT BLASTING
Bibliographic record
Abstract
Aluminum coatings can provide galvanic cathodic protection for several metals and alloys. In order to be a suitable protective solution on structural components, the mechanical integrity must be preserved. In particular, the fatigue properties are a challenge for thermal spray protective coatings on mechanical structures. To address the issue of the fatigue integrity of 7075 aluminum alloy with an arc sprayed protective coating, different surface preparations prior to arc spraying were considered. In the present work, a feasibility study was performed using laser ablation as a surface preparation technique before or during arc spraying of coatings through collaboration between the LERMPS laboratory in France, the National Research Council of Canada and the Royal Military College of Canada. Both fatigue and adhesive properties of aluminum coatings were evaluated in relation to substrate surface preparation techniques including laser ablation (PROTAL® process), grit blasting and shot peening. Results indicate that a combination of key conditions including using nitrogen as the arc spray gas, shot peening and proper laser energy density for ablation provides high fatigue resistance of metallic coated 7075 alloy substrates. Specimens prepared under these conditions show a similar fatigue resistance to uncoated substrates.Les revêtements en aluminium peuvent fournir une protection galvanique cathodique à plusieurs métaux et alliages. Afin de constituer une solution protectrice adéquate pour les éléments de structure, le procédé d’application du revètement doit préserver l’intégrité mécanique du substrat. En particulier, les propriétés de fatigue constituent un défi pour les revêtements protecteurs par projection thermique sur les structures mécaniques. Pour examiner le problème de l’intégrité de la fatigue de l’alliage d’aluminium 7075 avec un revêtement protecteur appliqué par projection à l’arc électrique, on a considéré différentes préparations de la surface avant l’application. Dans le travail présent, on a effectué une étude de faisabilité en utilisant l’ablation laser comme technique de préparation de la surface avant ou pendant l’application à l’arc de revêtements, par l’intermédiaire d’une collaboration entre le laboratoire LERMPS en France, le Conseil National de la Recherche du Canada et le Collège Militaire Royal du Canada. On a évalué les propriétés de fatigue ainsi que de résistance d’adhérence de revêtements en aluminium, en relation avec les techniques de préparation de la surface du substrat, incluant l’ablation laser (procédé PROTAL®), le sablage au jet de sable et le grenaillage. Les résultats indiquent qu’une combinaison de conditions clés incluant l’usage de l’azote comme gaz de projection à l’arc, le grenaillage et une densité appropriée d’énergie du laser pour l’ablation fourni une résistance élevée à la fatigue de substrats d’alliage 7075 revêtus d’un revètement métallique . Les échantillons préparés sous ces conditions montrent une résistance à la fatigue similaire aux substrats non revêtus.
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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".