A Theoretical Study of a Micro-Channel Pressure-Driven Flow of Electrically Conducting Liquids in the Presence of a Transversal Magnetic Field
Bibliographic record
Abstract
This work examines the effects of a transversal and uniform magnetic field on an electrically conducting liquid.The bottom wall is porous and therefore penetrable, where the jump of shear stress is given in terms of a suitable relative velocity by a semi-empirical boundary condition.The formulation of the flow problem is based on the incompressible Magnetohydrodynamics (MHD) governing equations in terms of non-dimensional variables.The relevant physical parameter measuring the relative importance between magnetic and viscous forces is identified as the Hartmann number.The solution of the problem shows the existence of a flow deceleration strongly dependent upon the Hartmann number.In addition, another interesting result is a decrease in the magnitude of the longitudinal component of the magnetic flux density as Hartmann number increases.The application of a transverse magnetic field in the flow of an electrically conducting fluid in tiny pores can produce an effective effect like the flow deceleration produced as the porous medium permeability is decreased.Therefore, it seems to be possible to produce such an effect by just monitoring the magnetic field instead of changing the complex microstructure of a porous medium.Exact and asymptotic solutions are obtained for the velocity and pressure fields of the unidirectional channel flow.The asymptotic solution describes very well the physical behavior of the flow for Hartmann less than unit.In addition, using the asymptotic solutions is possible to split the flow solution in two parts: a purely hydrodynamic contribution and a leading order magnetic contribution in terms of the Hartmann number.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".