Physicochemical Properties of Carbon Fiber Formulated from Melt-Spun Raw Asphaltene
Bibliographic record
Abstract
One of the challenges in carbon fiber production centers around the high cost of raw materials required for fiber precursors or complex production processes involving multiple steps. This research paper delves into the utilization of asphaltene sourced from Alberta oil sands as an alternative precursor material that is low cost for carbon fiber production. We investigated the carbon fiber production process using a blend of different asphaltene types via melt-spinning technology. Carbon fibers produced from asphaltene-based precursors exhibit an average diameter of 12.66 ± 3.06 μm, an ultimate tensile strength (UTS) of 524.07 ± 218.53 MPa, an elastic modulus of 34.68 ± 15.61 GPa, and a strain at the UTS of 2.48 ± 0.97%. The results validate the viability of asphaltene as a precursor fiber and highlight the potential of carbon fibers.
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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".