Two-phase continuum theory of magnetically induced heating of colloidal suspensions in capillary flow
Bibliographic record
Abstract
This study presents a two-phase continuum model for heat generation and transfer in magnetic colloidal suspensions, distinguishing the thermal behavior of the liquid and nanoparticle phases. It incorporates the magnetocaloric effect, where nanoparticles align under time-dependent magnetic fields, generating heat via magnetic entropy reduction. Two field types are examined: oscillating (OMF), which does not induce flow, and rotating (RMF), which induces spin-up flow. The magnetocaloric effect is frequency-dependent and becomes significant when the field period is shorter than the Brownian relaxation time. This leads to fluid heating and sustained alignment of nanoparticle magnetic moments with the RMF. A parametric study shows that field strength, nanoparticle concentration, and size influence thermal output. RMF produces nearly twice the heat of OMF at equal frequency and amplitude. These results indicate that magnetocaloric heating under rotating fields can simultaneously supply thermal energy and promote mixing, which may benefit reactions in microfluidic systems without direct contact or embedded heaters.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".