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Record W4413196928 · doi:10.1016/j.jobab.2025.07.005

Hierarchically porous coaxial wet-spun cellulose/polyurethane based hexamethylene diisocyanate (PUH) solid-solid phase change fiber for enhanced thermal management

2025· article· en· W4413196928 on OpenAlexaffvenue
Kang Yang, Chao Duan, Yijian Wen, Guodong Tian, Ruoteng Ma, Xiaoshuang Liu, Yucheng Bie

Bibliographic record

VenueJournal of Bioresources and Bioproducts · 2025
Typearticle
Languageen
FieldEngineering
TopicPhase Change Materials Research
Canadian institutionsUniversity of New Brunswick
FundersNational Natural Science Foundation of China
KeywordsMaterials sciencePolyurethaneComposite materialHexamethylene diisocyanateCoaxialFiberCellulosePorosityChemical engineeringComputer science

Abstract

fetched live from OpenAlex

In the present study, we innovatively construct a porous sponge-like solid-solid phase change fiber (SSPCF) based on one-pot coaxial wet spinning process. For the core-sheath SSPCF, cellulose serves as the sheath precursor, while an isocyanate modified polyethylene glycol (PEG), namely polyurethane-based hexamethylene diisocyanate (PUH), acts as the core solid-solid phase change material (SSPCM). Upon the non-solvent induced phase separation (NIPS) during the wet spinning, the unique SSPCF with thin and dense sheath yet thick and porous sponge-like core were successfully fabricated, and they exhibited excellent slow heat release, high-temperature thermal protection. It is hypothesized that the porous structure within the fiber core primarily accounts for the superior temperature control heat release behavior and thermal insulation capability. Additionally, the prepared SSPCFs demonstrate high phase change enthalpy (105.26 J/g), high strength (10.38 MPa), excellent leak-proof and cyclic stability. Compared to solid-liquid phase change fibers (enthalpy: 110.7 J/g) and commercial polyethylene terephthalate (PET) fibers, the thermal response time (900 s) of the SSPCFs is extended by 300 s and 755 s, while their heat release time (450 s) is increased by 127 and 347 s, respectively. This research provides inspiration for the development of high-temperature insulation and slow heat release functional fibers and fabrics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.024
GPT teacher head0.312
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2025
Admission routes2
Has abstractyes

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