Comparison of the Recycling Efficiency of Metakaolin and Laboratory-Synthesized Zeolite Types LTA and LSX on Used Lubricant Engine Oil
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Bibliographic record
Abstract
Zeolite types LTZ and LSX were synthesized from bauxite and kaolin in Ghana and characterized by x-ray diffraction, scanning electron microscopy, energy dispersive x-ray spectroscopy and Fouries transformed infrared spectroscopy. The zeolites were then applied to used lubricant oil and parameters lubricant engine oil were measured and compared to those of fresh ones. Parameters such as flashpoint, viscosity index, pour point, sulfur content, heavy metals, specific gravity, refractive index and carbon residue were analyzed. The results obtained showed that zeolite types A and X successfully removed heavy metals, particularly lead, copper and iron that were in the spent oil. A removal efficiency of 23.40 % Fe, 96.76 % Zn, 19.05 % Cu and 12 % Cr were obtained for Zeolite A with a yield of 62 % whilst 32.81 % Fe, 39.00 %, Zn, 47.61 %, Cu and 24 % Cr were obtained for zeolite LSX with a yield of 67 %. The viscosity index of the virgin, zeolite LTA treated and zeolite LSX treated oils were 115, 121 and 115 respectively. These results showed that used engine oils recovered using glacial acetic acid and zeolites A and LSX can be reused.
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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 | 0.001 |
| 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