Performance of conventional and new lubricants used for single compaction of steel PM parts
Bibliographic record
Abstract
The role of lubricant during compaction is crucial and is even more important those days with the increased number of PM parts with higher densities and/or challenging ejection conditions. It is for that reason that significant level of efforts were devoted during the last 20 years to the development of environmental friendly PM lubricants that improve both the compaction processing of steel pre-mixes such as the ejection, density, robustness, productivity, surface finish, etc., as well as the performances of the PM parts after sintering. The development of new lubricants for single compaction requires an excellent understanding of the lubrication mechanisms and the behaviour of these new compounds. In this presentation, the effect of different compacting processing parameters such as the pressure, temperature, compaction speed and part aspect ratio on the lubrication behaviour of iron-based powder mixes containing various types of lubricants are reviewed. A particular attention will also be given to the effect of the type and concentration of lubricants on the delubrication behaviour and mechanical properties obtained after sintering.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".