The influence of mechanical processing of chip waste from cast Al – Si – B4C composites on the structure and properties of consolidated billets
Bibliographic record
Abstract
In order to increase the efficiency of material extraction during recycling of non-compact waste, solid-phase processing methods are currently being developed to reduce energy consumption in the manufacturing of secondary products. This study provides a comparative evaluation of the influence of high-energy ball milling of chip waste from turning ingots of AlSi12 + 10 vol.% B4C aluminum matrix composite on changes in the structure and mechanical properties of consolidated billets compared to compacted unprepared chips and as-cast state. It was found that the samples consolidated from powder are characterized by increased strength properties in comparison with the cast composite and chips pressed composite. Specifically, the yield strength of the powder consolidated specimens increased by ~1.5 and ~2.3 times compared to the cast composite and chips pressed composite, respectively. The hardness of the cast composite was 39.35 ± 3.2 HRB, while the hardness of the samples consolidated from chips and powder was 42.75 ± 1.2 and 71.4 ± 1.5 HRB, correspondingly. The observed mechanical behavior is associated with a reduction in the sizes of the structural constituents of the matrix alloy, fragmentation of the reinforcing particles, a decrease in the porosity fraction, as well as an increase in the uniformity of particles distribution in the volume of the powder-pressed specimen. The results demonstrate the potential of solid-phase methods for processing non-compact waste in the manufacturing of products from metal matrix composites. This research was funded by the Russian Science Foundation (Project № 21-79-10432, https://rscf.ru/project/21-79-10432/). The study was carried out using the equipment of the interregional multispecialty and interdisciplinary center for the collective usage of promising and competitive technologies in the areas of development and application in industry/mechanical engineering of domestic achievements in the field of nanotechnology (Agreement No. 075-15-2021-692 of August 5, 2021).
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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 | 0.001 | 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".