Production and Anisotropic Tensile Properties of Stainless Steel Wire Mesh/ZA8 Alloy Composites Produced by Squeeze Casting
Bibliographic record
Abstract
Novel stainless steel/zinc alloy composites are produced by infiltrating ZA8 zinc alloy into rolled 304 stainless steel wire mesh preforms via squeeze casting. Microstructural characteristics of the composite are observed, and the uniaxial tensile properties at different temperatures are investigated. The tensile properties of the composites of sintered preforms are compared with those of the composites of unsintered preforms. The results indicate that the microstructures and tensile behavior of the composites exhibit anisotropy. The tensile strength of the composite in the longitudinal direction is higher than that in the radial direction and increases with increasing wire fraction. The tensile strength and elongation at the maximum stress of the composite are lower than those of the unreinforced ZA8 alloy tested at room temperature. At an elevated temperature, the tensile strength of the alloy is improved but ductility decreases after adding wire mesh with wire fraction more than a certain value. The strength and elastic modulus of the alloy and composites sharply decrease with an increase in testing temperatures. The tensile strength of the composite decreases after sintering preforms. The fracture surface of the composite shows anisotropy in different directions and different morphologies at different temperatures.
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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".