3D‐ECT Velocimetry for Flow Structure Quantification of Gas‐Liquid‐Solid Fluidized Beds
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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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".