Freeze Concentration to Regenerate Concentrated Draw Solution (CDS) and Recover Water from Industrial Effluents
Why this work is in the frame
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Bibliographic record
Abstract
This work focuses on industrial water recovery using freeze concentration (FC) as a stand-alone water recovery process (part 1), and investigates the possibility of an integrated forward osmosis-freeze concentration (FO-FC) process (part 2). In part 1, A 3-L bench-scale layer freeze crystallizer was designed, and 0.5-1.5 m NaCl and MgCl2 solutions were used to mimic effluents from the mining and extractive metallurgy industries. A maximum impurity reduction of 82 % and 68 % can be achieved from 0.5 m NaCl and MgCl2 solutions, respectively. Agitation at 50 rpm significantly improved ice purity even at a high concentration of 1.5 m MgCl2. In part 2, the results showed that the regeneration of the 2-m MgCl2 concentrated draw solution can be achieved by adjusting the jacket temperature. The multi-step operation further improved ice purity by 14.6 % without sacrificing the CDS regeneration objectives.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it