Surface protection of Mg alloys in automotive applications: A review
Bibliographic record
Abstract
Mg alloys find widespread applications in transportation industries especially in cars and trucks because of their edges in light-weight design, which can greatly help improve the fuel efficiency and decrease the gas emissions of vehicles; However, Mg alloys’ high sensitivity to the corrosive environments limit their penetration in automotive applications. Surface coating is one of the most effective and economic ways to protect Mg alloys from corrosion. Presently, the currently researched and commercial coatings that are specifically applied to Mg alloys in the automotive industry are reviewed in this paper. With some Mg automotive components subjected to corrosion and repeated load simultaneously, corrosion fatigue of coated Mg alloys are reviewed as well. Additionally, a part of attention in this review is given to the assessment approaches of corrosion and corrosion fatigue performance of coated Mg alloys for the purpose of material/surface coating system selection. Finally, some corrosion-related challenges for the growth of Mg alloys, future developments and research directions on surface coatings and corrosion fatigue testing approaches are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".