КАТАЛИТИЧЕСКОЕ ГИДРОДЕХЛОРИРОВАНИЕ ХЛОРУГЛЕВОДОРОДОВ В СРЕДЕ РАСТВОРОВ ГИДРОКСИДА НАТРИЯ Часть 1. Превращения четыреххлористого углерода
Bibliographic record
Abstract
In the production of chlorohydrocarbons (chloromethanes, perchlorethylene, etc.) a carbon tetrachloride formed as a by-product. The Montreal Protocol refer it to ozone depleting substances. The process of liquid-phase catalytic hydrodechlorination of CCl4 in the presence of aqueous sodium hydroxide to form useful products: sodium formate, hexachloroethane and perchlorethylene, was investigated to develop a rational (another then burning) method of disposal of CCl4. Experiments were performed in a 300 ml autoclave at pressures up to 1,5 MPa in the temperature range 80–120 °C, the catalyst - Pd on sibunit (5 fractions from 0,1 to 1,6 mm). The dependence of CCl4 conversion and main products selectivity from the initial CCl4 and NaOH concentration, temperature, hydrogen partial pressure, size of catalyst particles and palladium content were studied. Based on these results, scheme of the process is proposed, recommendations on the conditions of the process depending on the specific composition of the products are given, optimal parameters of the catalyst are determined: 1,5 wt.% Pd on sibunit with grains 0,315–0,63 mm. The proposed process will not only solve the problem of waste disposal containing CCl4, but also ensured the production of three commercially popular products.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".