Peculiarities of application of natural and man-caused materials for steel alloying and modifying
Why this work is in the frame
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Bibliographic record
Abstract
Considerable reserves of improvement of steel quality and reduction of costs of its production are concealed in a possibility of active and purposeful formation their structure and the properties by introduction into the melt modifiers, alloying and microalloying additives. Due to the task of decreasing costs, studies on alloying and modifying of metal by natural and man-caused materials are very actual. Thermodynamic regularities of steel alloying and modifying processes by natural and man-caused materials, including manganese ores of various structures, BOF vanadium slag, barium- strontium modifier, obtained from the complex ores containing barium and strontium considered. Possibilities of wide application of various structure manganese ores for steel alloying by manganese without use of standard manganese alloys as well as vanadium slag for microalloying by vanadium demonstrated. Metallurgical properties barium-strontium natural modifier obtained and the possible mechanism of the modifying impact of barium and strontium on quality of metal studied. It was determined, that the effect of modifying by barium can revealed in steels, deoxidized only by silicon, and for modifying by strontium or joint modifying by barium and strontium it is necessary to apply aluminum as deoxidizing agent. Industrial testing of the above-stated materials showed reliability of studies, accomplished at thermodynamic modeling and laboratory studies of calculations and conclusions. Recommendations on optimization of technologies of steel alloying and modifying made. It was proved that use of the materials of the study allows to improve technical and economic indices of the process of production of steels and to increase considerably quality of final steel products. Conclusions on significant expansion of natural and man-caused materials prospects worded.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it