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Record W4408300595 · doi:10.3390/pr13030809

Mechanical Recycling of Crosslinked High-Density Polyethylene (xHDPE)

2025· article· en· W4408300595 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProcesses · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPolyethyleneMaterials scienceHigh-density polyethyleneComposite materialEnvironmental scienceChemical engineeringPolymer scienceEngineering

Abstract

fetched live from OpenAlex

This study introduces a mechanical recycling technique for crosslinked high-density polyethylene (xHDPE) using cryogenic pulverization and compression molding. This method is shown to effectively transform xHDPE into valuable fillers for recycled HDPE (rHDPE(B)) sourced from recycled bottles using different concentrations (15–60%) and particle sizes (0–250 µm, 250–500 µm, and 500–1000 µm). In particular, the recycling method significantly reduced the gel content from 60.5% to 41.8% for the 0–250 µm particles, indicating partial decrosslinking. Morphological analysis revealed good interfacial adhesion between rHDPE(B) and recycled xHDPE (r-xHDPE), improving the overall performance and resulting in a balanced combination of properties from both materials. The r-xHDPE samples exhibited improved thermal stability. While particle size had minimal effect on material properties, increasing its concentration significantly improved impact strength (612%) with a slight (3%) reduction in density at 60% 500–1000 µm particles. This research underscores the possibility of recycling crosslinked polymers and highlights the need for further studies to optimize the material properties and expand the methodology to a wider range of polymers.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.631
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.008
GPT teacher head0.256
Teacher spread0.248 · 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