Ultra-strong fibres by super drawing of gel-spun UHMWPE/SWCNT
Bibliographic record
Abstract
UHMWPE fibre is one of the most popular high performance fibres that have been widely used for load bearing and high-energy absorption applications. An examination of the theoretical strength of PE suggests that the strength of the state-of-the-art UHMWPE is still far from reaching its theoretical potential. The discovery of carbon nanotubes (CNT) has created promising opportunities for super high performance materials. A natural scientific enquiry is the feasibility of creating super strong fibres by reinforcing UHMWPE (ultrahigh molecular weight polyethylene) with CNT. Several groups including the Hong Kong Polytechnic University and Donghua University have explored the CNT/UHMWPE composite fibre concept. The Hong Kong group reported a 11.6%, 18.8% and 15.4% increase in tensile modulus, strength and strain respectively with the addition of 5% MWCNT (multi-wall carbon nanotube tube) in UHMWPE whereas the Donghua group reported an 8.88%, 1.34% and 14.1% increase in tensile modulus, strength and breaking strain respectively by the addition of 1% MWCNT. However, considering the theoretical strength of UHMWPE fibre and the reported range of CNT strength on the order of 30 to 180 GPa, the load transfer efficiency from CNT to the matrix is still far from being fully realized. This may be attributed to the lack of strong chemical bonding between the CNT and UHMWPE matrix. To address the weak fibre-matrix interface issue a thin layer of polymer (grafted and in situ polymerized PS) was coated on to SWCNT(single-wall carbon nanotube) surface with desired functional groups, which were further reacted with PE-g-GMA for additional interfacial compatibility. The polymer coated SWCNT-PE composite was successfully gel-spun and super drawn (as high as DR=100). The strength of the gel-spun fibres was shown to be diameter dependent following a classical exponential relationship. It was found that the critical fibre diameter to achieve high strength appears to be below 15 micron. Fibre strength as high as 6.7 GPa was produced with elongation at break of 18%o. This remarkable combination of strength and toughness implied significant improvement of interfacial bonding between SWCNT and UHMWPE and that the strength of individual SWCNT could be as high as 75GPa (in the 1 middle range 30GPa to 180GPa as reported in the literature). The processing, structure and properties of the super strong UHMWPE/SWCNT composite fibres are reported in this paper.
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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) | 0.002 | 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".