JOURNAL ARTICLE

UV and outdoor weathering of glass fiber reinforced polycarbonate/acrylonitrile-butadiene-styrene composites and recycling of aged composites.

  • Published In: Journal of Thermoplastic Composite Materials, 2025, v. 38, n. 4. P. 1427 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Kuram, Emel; Ozcelik, Babur; Kocoglu, Hurol; Ayas, Hamza; Dogan, Mehmet 3 of 3

Abstract

This article investigates the effects of natural and artificial ultraviolet (UV) ageing on the mechanical, rheological, and morphological properties of glass fiber reinforced polycarbonate/acrylonitrile-butadiene-styrene (PC/ABS) composites with varying glass fiber content. Specimens were exposed to outdoor natural ageing for 12 months in Gebze, Turkey, and accelerated UV ageing for 336 hours, then ground and reprocessed by blending with virgin composites at different ratios to assess property retention after recycling. Results showed that ageing generally caused yellowing, surface cracking, and decreased mechanical properties such as tensile strength, elongation at break, flexural strength, and impact strength, although higher glass fiber content improved tensile and flexural strength. Incorporation of virgin PC/ABS into aged materials partially restored mechanical properties and increased melt flow index (MFI), indicating that recycling with virgin polymer can mitigate some degradation effects from ageing. This study contributes novel data on the behaviour of PC/ABS composites with different glass fiber contents under natural and UV ageing and subsequent recycling.

Additional Information

  • Source:Journal of Thermoplastic Composite Materials. 2025/04, Vol. 38, Issue 4, p1427
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2025
  • ISSN:0892-7057
  • DOI:10.1177/08927057241270890
  • Accession Number:183891713
  • Copyright Statement:Copyright of Journal of Thermoplastic Composite Materials is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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