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Record W4232577852 · doi:10.32920/ryerson.14656953

Development and Characterization of Cast Modified SI-CU-MG Alloys for Heat Resistant Power Train Applications

2021· preprint· en· W4232577852 on OpenAlexafffund
S.K. Shaha

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicAluminum Alloys Composites Properties
Canadian institutionsToronto Metropolitan University
FundersNatural Resources CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceEutectic systemUltimate tensile strengthAlloyMicrostructureIntermetallicMetallurgyScanning electron microscopeComposite material

Abstract

fetched live from OpenAlex

High temperature tensile, compression and low cycle fatigue tests were performed to assess the influence of micro-additions of Ti, V and Zr on the Al-7Si-1Cu-0.5Mg (wt.%) alloy in the as-cast and heat treated conditions. A combination of electron microscopy and high temperature X-ray diffraction was used to identify phases and temperature ranges of their thermal stability. The microstructure of the as-cast Al-7Si-1Cu-0.5Mg (wt.%) base and modified alloys consisted of α-Al, eutectic Si, and Cu-, Mg- and Fe-based phases Al2.1Cu, Al8.5Si2.4Cu, Al7.2Si8.3Cu2Mg6.9 and Al14Si7.1FeMg3.3. In addition, the micro-sized Ti/V/Zr-rich phases Al6.8Si1.4Ti, Al21.4Si4.1Ti3.5VZr3.9, Al6.7Si1.2TiZr1.8, Al2.8Si3.8V1.6Zr and Al5.1Si35.4Ti1.6Zr5.7Fe were identified in the modified alloys. During solution treatment, Cu- and Mg- based phases were completely dissolved, while the eutectic silicon, Fe- and Ti-V-Zr-rich intermetallics partially dissolved. The TEM analysis confirmed the presence of nano-sized precipitates of (AlSi)3(TiVZr) with D023 tetragonal crystal structure. The tensile tests of the alloy in the as-cast state showed that with increasing testing temperature from 25°C to 400°C the yield strength and tensile strength of the studied alloy decreased from 161 MPa to 84 MPa and from 261 MPa to 102 MPa, respectively. Accordingly, the T6 heat treated alloy modified with additions of a higher content of Ti-V-Zr achieved the highest tensile strength of 343 MPa over the base alloy and alloys modified with additions of Ti, Ti-Zr and lower contents of Ti-V-Zr. The fatigue life of the studied alloy in the T6 condition was substantially longer than those of the reference alloys A356 and the same Al-7Si-1Cu-0.5Mg base alloy with lower additions of V, Zr and Ti in the T6 condition. The fractography revealed tensile crack propagation through the eutectic Si and primary phases, exhibiting intergranular fracture along with some cleavage-like features of the plate-shaped Ti-V-Zr-rich intermetallics with a presence of fatigue striations on the latter, indicating their ductile nature. It is believed that the intermetallic precipitates containing Zr, Ti and V improve the fatigue life of the studied alloy in the T6 condition.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.022
GPT teacher head0.216
Teacher spread0.194 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2021
Admission routes2
Has abstractyes

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