Synthesis and Characterization of Bio-pitch from Bio-oil
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Coal-tar-pitch (CTP) is a fossil carbon material, currently used as a the binder in carbon anode manufacturing process. Regardless of the technical benefits of coal-tar-pitch, it contains polycyclic aromatic hydrocarbons (PAHs), known to be carcinogenic for humans and detrimental to the environment. To overcome this challenge, research was carried out to search for a suitable substitution with health- and environmental-friendly properties. Bio-pitch, produced from bio-oil, could be a potential alternative binder for the carbon anode manufacturing process, due to its similarity with CTP. However, the properties of bio-pitch could be significantly different from those of CTP depending on its origins and process conditions. This study focuses on the synthesis of bio-pitches from bio-oil under different vacuum extraction conditions and characterization of its physical and chemical properties, aiming at the determination of the conditions that may result in suitable properties for anode formulation. Both typical characterization and profound chemical analysis of bio-pitches were carried out, including the determination of density, softening point, coking value, quinoline insolubles, PAH content, molecular weight, viscosity, and elemental composition and the identification of chemical structures. In addition, the condensed fraction produced was also analyzed to identify the reaction mechanisms occurring during the pyrolysis process.
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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 | 0.000 |
| 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 it