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Record W2954775723 · doi:10.3934/matersci.2019.4.567

Surface protection of Mg alloys in automotive applications: A review

2019· review· en· W2954775723 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAIMS Materials Science · 2019
Typereview
Languageen
FieldMaterials Science
TopicMagnesium Alloys: Properties and Applications
Canadian institutionsUniversity of WaterlooNatural Resources Canada
Fundersnot available
KeywordsCorrosionAutomotive industryCoatingMaterials scienceTruckMetallurgyMaterial selectionSurface engineeringCorrosion fatigueAutomotive engineeringComposite materialEngineering

Abstract

fetched live from OpenAlex

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.

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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.915
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.075
GPT teacher head0.340
Teacher spread0.265 · 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