Influence of quenching rate on the microstructure and magnetic properties of melt-spun L10-FePt∕Fe2B nanocomposite magnets
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Bibliographic record
Abstract
The quenching rate, which is dependent on the surface velocity (Vs) of Cu wheel during melt spinning, has significant influence on the formation of nanocomposite structure in the Fe52Pt32B18 melt-spun ribbons. The L10-FePt∕Fe2B hard magnetic nanocomposite structure was formed at Vs=20–37m∕s, while the soft magnetic fcc-FePt+amorphous phases were formed at Vs=40–50m∕s. The ribbons melt spun at Vs=37m∕s exhibit in-plane coercivity (Hci)=760kA∕m, remanence (Br)=0.71T, and energy product (BH)max=93.4kJ∕m3. The Br=0.74–0.77T, Hci=681–718kA∕m, and (BH)max=101–108kJ∕m3 were obtained for the ribbons melt spun at Vs=50m∕s and annealed at 748–773K for 900s. The improvement in hard magnetic properties is due to the formation of more finer and homogeneous nanocomposite structure, which results in the enhancement in exchange coupling among the nanosized hard L10-FePt and soft Fe2B magnetic phases.
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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 | 0.001 | 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 | 0.001 | 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