Microstructure, Tensile and Fracture Behaviors of Squeeze Cast Wrought Mg Alloy AZ80
Bibliographic record
Abstract
Wrought magnesium alloy AZ80 with a thick section of 20 mm was prepared by squeeze casting (SC) and permanent steel mold casting (PSMC). The porosity measurements of the SC and PSMC showed that the SC AZ80 had a porosity of 0.52%, which was the 77% lower than that (2.21%) of the PSMC counterpart. The microstructure analyses and phase identification indicated that the cast AZ80 alloy consisted of a primary α-Mg phase, eutectic Mg-Al-Zn phases and Al-Mn intermetallic. The fine primary α-Mg dendrites and a high amount of the intermetallic phase were present in the SC AZ80 alloy. The yield strength (YS), ultimate yield strength (UTS), elongation (ef), elastic modulus (E) and strain hardening rate of the cast AZ80 specimens were evaluated by tensile testing. The measured engineering stress versus strain curves showed that the SC AZ80 alloy exhibited 84.68 MPa in YS, 168.23 MPa in UTS, 5.07% in ef, and 25.1GPa in modulus while the YS, UTS and ef of the PSMC specimen were only 71.61 MPa, 109.04 MPa, 1.85% and 21.9GPa. The calculated resilience and tensile toughness indicated that the SC AZ80 was more capable of resisting energy loads in elastic deformation and had an ability to absorb energy during plastic deformation than that of the PSMC AZ80. Also, the analyses of the true stress versus strain curves revealed that, upon the onset of plastic deformation, the strain-hardening rate of the SC AZ80 sample was 10,341 MPa, which was 9% higher than that (9,489 MPa) of the PSMC AZ80 specimen. The obtained mechanical properties showcased the fit of the casting process to wrought magnesium AZ80 alloy, which was squeeze casting. The low porosity level, fine dendritic structure and a high content of intermetallic phase should be somewhat responsible for high mechanical properties of the SC AZ80 alloy.
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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) | 0.000 | 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) | 0.001 | 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 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".