Abstrato

Development a methodology for early estimation of the recycled polypropylene fibers photo degradation

Andrey Pimenov


Polypropylene becoming the most widespread plastic in the world due to its resistance to the most of aggressive substances, high durability, low sensitivity to microorganisms, while these characteristics of the polymer remain at high humidity. All these properties contribute to the continuous expansion of polypropylene applications from packaging materials to mechanical engineering and construction. However, according to the American Chemicals Council, polypropylene is rare recyclable plastic due to its fibers destruction during landfilling and recycling.A degradation process manifests in the weakening of chemical bonds and breaking of macromolecules, which ultimately reduces the mechanical and strength properties of the polymer. According to the literature review, there is a lack of knowledge in studying degradation of recycled polypropylene fibers into the landfill conditions. This research has to cover this gap. We model the environmental conditions of polypropylene degradation and study its structural characteristics with FTIR spectroscopy. All pieces of clean and dry plastic flakes were studied before installation to the test bench and compared to the spectra after.The difference in spectra shows the beginning of degradation process inside the polypropylene fibers. It demonstrates that the optical methods could detect the degradation of the polypropylene on the early stage. Based on this data following research is proposed - development of a technology for quality improvement of recycled polypropylene fibers by extracting the most degraded samples from the production cycle. It has to increase the quality of recycled polypropylene fibers


Isenção de responsabilidade: Este resumo foi traduzido usando ferramentas de inteligência artificial e ainda não foi revisado ou verificado

Indexado em

  • CASS
  • Google Scholar
  • Abra o portão J
  • Infraestrutura Nacional de Conhecimento da China (CNKI)
  • CiteFactor
  • Cosmos SE
  • Diretório de indexação de periódicos de pesquisa (DRJI)
  • Laboratórios secretos de mecanismos de pesquisa
  • Fator de impacto do artigo acadêmico (SAJI))
  • ICMJE

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