Three-component, three-dimensional velocity measurement technique for micro- channel applications using a scanning µPIV
Bibliographic record
Abstract
A micro-fluidic measurement technique capable of measuring three components of the velocity in the micro-channel has been developed in this paper. In the measurement system, a high speed CCD camera takes slices of planar (x,y) images in the micro channel while a piezoelectric scans the focal plane of an infinity corrected objective through the volume in the z-direction. The time series data set is reconstructed into individual scan volumes which are cross-correlated using a 3D algorithm. This leads to obtaining a near instantaneous three-dimensional velocity vector field. A benefit of this approach is that a large number of velocity vectors are generated to define the flow motion in comparison to the defocusing method. This technique has been designed for a specific micro-fluidic application that uses dielectrophoresis to levitate near-wall particles and to investigate mixing in micro-channel flows. Measurement uncertainty of the maximum out-of-plane velocity component depends on particle size, depth of focus of the system optics, frame rate of the single CCD detector and the scan rate of the piezo-electric scanning system.
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 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".