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Record W2331540271 · doi:10.2495/hpsm080061

Development of creep-resistant magnesium casting alloys for high temperature automotive applications

2008· article· en· W2331540271 on OpenAlexafffund
Lihong Han, Hong Hu, D. O. Northwood

Bibliographic record

VenueWIT transactions on the built environment · 2008
Typearticle
Languageen
FieldMaterials Science
TopicMagnesium Alloys: Properties and Applications
Canadian institutionsUniversity of Windsor
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of OntarioUniversity of Windsor
KeywordsMaterials scienceCastabilityEutectic systemCreepMetallurgyGrain boundarySolid solution strengtheningAlloyMicrostructureGrain Boundary SlidingCastingCorrosion

Abstract

fetched live from OpenAlex

The low specific gravity of magnesium has made Mg-alloys attractive for automotive and aerospace applications. Conventional Mg casting alloys have been based on the Mg-Al system with additions of Zn, Mn or Si, e.g. AZ91 alloy (Mg-9.0Al-1.0Zn, wt.%). Such alloys, which have good castability, mechanical properties and corrosion resistance, are widely used in the automotive industry. However, due to the rapid degradation of the mechanical properties at elevated temperatures, especially the creep resistance, application of these alloys has been limited to specific components that operate at temperatures below 150 o C. New creep-resistant Mg casting alloys are required for application as transmission cases (temperatures up to ~175 o C), engine blocks (~250 o C) and pistons (~300 o C). The development of such high performance creep-resistant alloys requires the development of microstructures in the cast alloy that both prevent grain boundary sliding and restrict the motion of lattice dislocations within the primary -Mg grains. The development of Mg-Al-Ca casting alloys is described where Ca-containing eutectic phases are precipitated along the grain boundaries and where dislocation motion within the grains is restricted due to solid solution hardening and the presence of dispersed nanoscale eutectic phases

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.207
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.208
Teacher spread0.183 · 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.

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
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueWIT transactions on the built environmentSame topicMagnesium Alloys: Properties and ApplicationsFrench-language works237,207