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Extrusion and Injection Molding of Polyethylene Loaded with Recycled Textiles: Mechanical Performance and Thermal Conductivity
Univ Boras, Fac Text Engn & Business, Swedish Ctr Resource Recovery, S-50190 Boras, Sweden..
MuoviTech AB, S-50730 Bramhult, Sweden..
Albany Int AB, S-30241 Halmstad, Sweden..
Jönköping University, JTH, Material och tillverkning.ORCID iD: 0000-0002-7095-1907
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2024 (English)In: Journal of Composites Science, ISSN 2504-477X, Vol. 8, no 10, article id 399Article in journal (Refereed) Published
Sustainable development
According to the author(s), the content of this publication falls within the area of sustainable development.
Abstract [en]

The aim of this project was to assess the thermal conductivity of polyethylene (PE) filled with carbon black (CB), specifically for geothermal pipes. The project explored the potential modification of PE's thermal conductivity by incorporating recycled textile fibers. Different types of shredded recycled fibers were tested, including two types of polyamide fibers with varying contaminations and one type of polyester fiber. Following several preparation steps, various composite materials were manufactured and compared to bulk PE using various testing methods: Differential Scanning Calorimetry analysis (DSC), mechanical testing (flexural and tensile), and laser flash analysis (LFA). The results revealed alterations in the mechanical properties of the composite materials in comparison to PE filled with CB. The LFA tests demonstrated the effectiveness in reducing polymer thermal diffusivity at higher temperatures, particularly when the material was loaded with recycled polyester fillers.

Place, publisher, year, edition, pages
MDPI, 2024. Vol. 8, no 10, article id 399
Keywords [en]
polymer composites, recycled textiles, thermal conductivity, mechanical performance, polyethylene
National Category
Materials Engineering
Research subject
Resource Recovery
Identifiers
URN: urn:nbn:se:hb:diva-32836DOI: 10.3390/jcs8100399ISI: 001342953800001Scopus ID: 2-s2.0-85207676813OAI: oai:DiVA.org:hb-32836DiVA, id: diva2:1915322
Funder
Vinnova, 202202576Knowledge Foundation, 20200142Available from: 2024-11-12 Created: 2024-11-22 Last updated: 2025-09-24Bibliographically approved

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Skrifvars, MikaelKhalili, Pooria

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Leisner, PeterSkrifvars, MikaelKhalili, Pooria
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