Formulation of Oil Spill Dispersants using Biobased Surfactants and the Study of Flow-induced Breakup of Floating Oil Drops
Bibliographic record
Abstract
This thesis deals with two challenges related to oil spills. First, the Hydrophilic-Lipophilic Difference (HLD) framework was used to develop a lecithin formulation containing food-grade lipophilic and hydrophilic linkers in combination with a non-volatile, mineral oil solvent with food additive status. The HLD parameters of the components were used to determine the lecithin-linker formulations and the interfacial tensions were of the order of 10-2 mN/m and emulsification effectiveness in the range of 75- 85%. The second part of this thesis addresses the breakup oil drops floating on water/aqueous medium under simple shear flow, using a counter-rotating circular Couette device. It was observed that floating drops produce fine droplets via tip-streaming in viscosity matched systems too. At a solvent to bitumen (S/B) ratio of 2, diluted bitumen drops formed a rigid network upon spreading on the interface, but at lower S/B ratios (0.5), they formed drops that rotated like rigid structures.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".