Microstructure and magnetic properties of isotropic bulk NdxFe94−xB6 (x=6,8,10) nanocomposite magnets prepared by spark plasma sintering
Bibliographic record
Abstract
Nd 2 Fe 14 B ∕ α - Fe isotropic bulk nanocomposite magnets were prepared by spark plasma sintering (SPS) technique using melt-spun powders with a nominated composition of NdxFe94−xB6, with x=6, 8, and 10. It was found that higher sintering temperature improved the densification of the magnets, while it deteriorated their magnetic properties simultaneously due to the excess crystal grain growth. An increased compressive pressure led to better magnetic properties and higher density for the SPS magnets. An increase in the Nd amount resulted in a gradual increase in intrinsic coercivity and an obvious reduction of the remanence of the magnets simultaneously. A magnet with the composition of Nd8Fe86B6 possessed a Br of 0.99T, a Hci of 386kA∕m, and a (BH)max of 101kJ∕m3 under the optimal sintering condition. In addition, microstructure observation using transmission electron microscopy showed that compared with the starting powders the full-density magnets nearly maintain the morphology, indicating that there was no sign of pronounced crystal grain growth during the densification process.
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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".