Characterization of the formation of nickel-rich areas in PM steels and their effect on mechanical properties
Bibliographic record
Abstract
Admixed chemical elements may lead to the formation of heterogeneous microstruc-tures in sintered steels. This is due primarily to low bulk-diffusion coefficients at conventional sintering tem peratures. For powder met allurgy (PM) steels, admixed nickel is well known to produce such heterogeneous microstructures where the element is not distributed evenly upon sintering, resulting in the formation of nickel-rich areas (NRAsj. In contrast, the principal mechanisms of nickel diffusion in PM steels are often misunderstood. This work presents a new approach to measure the bulk-diffusion coefficients of nickel in PM steels in order to determine the sintering conditions required to maximize its homogeneity in a steel matrix. Also, the influence of the local concentration of nickel on sintered microstructures is discussed. The characterization approach presented here could be used to characterize the diffusion of other alloying elements in PM steels, either admixed as elemental powders or introduced via master alloys.
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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".