Effect of particle characteristics on the rheology of polymer-metallic particle suspensions
Bibliographic record
Abstract
Particle suspensions are used in a variety of material processes including powder injection molding, polymer composite molding and metallic foam production. The flow behavior of the suspensions is critical for the adequate processing of such materials. It is well known that particle characteristics have a significant impact on the flow behavior of these solid-liquid systems. In order to better understand the effect of particle characteristics on the rheology of these filled systems, the elastic and viscous moduli G' and G'' of suspensions prepared with particles of different chemical natures (Ni, Cu, Ti, Ti6Al4V, Fe, bronze, SS316L) in molten low-density polyethylene were evaluated under stress sweep using a plate-plate dynamic controlled-stress rheometer (DSR). Correlations between the moduli, and several particle properties (size, shape, surface area, apparent and tap density) were evaluated and hypotheses on the mechanisms of suspension deformation are proposed.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".