3D‐ECT Velocimetry for Flow Structure Quantification of Gas‐Liquid‐Solid Fluidized Beds
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Bibliographic record
Abstract
Abstract The electrical capacitance tomography (ECT) velocimetry techniques, namely tomography tracking velocimetry (TTV) and tomography image velocimetry (TIV) are proposed in this study to quantify the flow structure of gas‐liquid‐solid fluidized beds based on the ECT images. The tomography images of the bubbles in the three‐phase system are obtained from image reconstruction using the neural network multi‐criteria optimization image reconstruction technique (NN‐MOIRT), developed earlier by the authors. The TTV is based on an auto‐correlation of tomography images in a single plane sensor to track the three‐dimensional position of a bubble swarm. The TIV is based on a cross‐correlation of tomography images in two plane sensors to calculate the three‐dimensional velocity components of the bubble swarm. The bubble spiral motions, the fluctuations of the three‐dimensional bubble swarm velocity components and fluxes in three‐dimensional space are discussed along with the effect of gas superficial velocity, the presence of solid particles and the column height.
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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 it