Polymer grafted aramid nanofiber reinforces immiscible waste polypropylene/poly(ethylene terephthalate)

• Published in: Journal of applied polymer science Vol. 140; no. 41
• Main Authors: Martey, Shawn, Traywick, Andrew, Kelly, Jesse C., Sobkowicz, Margaret J., Chen, Wan‐Ting
• Format: Journal Article
• Language: English
• Published: Hoboken Wiley Subscription Services, Inc 05.11.2023; Wiley Blackwell (John Wiley & Sons)
• Subjects: Contaminants; Grafting; Materials science; Mechanical properties; Nanofibers; Polyethylene terephthalate; Polymers; Polypropylene; Positron emission; Rheological properties; Rheology; Waste management
• ISSN: 0021-8995; 1097-4628
• DOI: 10.1002/app.54534

Polypropylene (PP) and poly(ethylene terephthalate) (PET) are plastics commonly used for packaging because of their excellent barrier and mechanical properties. The properties of these plastics are often diminished after mechanical recycling, inevitably causing down‐cycling. This problem is exacerbated when different kinds of polymers mix. Aramid nanofibers have the potential to improve the mechanical properties of polymers due to their excellent mechanical properties but their poor dispersion in polymers is a challenge. Grafting polymers onto nanofibers can help address this challenge. In this work, different loading levels (1%, 2%, and 5%) of polymer grafted aramid nanofibers (ANFs) are blended with waste PP/PET (90/10), simulating a PP waste stream containing traces of PET contaminants. Scanning electronic microscopy, rheology, and differential scanning calorimetry results show the affinity of PP functionalized aramid nanofibers (PP_ANF) towards the PP matrix. At 1 wt% of the nanofiber, the size of the PET droplets in the PP matrix of the PP_ANF blend range from 0.2 to 2.0 μm while that of unmodified ANF and PET_ANF blends are in the range of 0.1–6.2 and 0.5–7.4 μm, respectively. In summary, polymer grafted ANFs have the tendency of improving properties of its like polymers due to similarity in the grafting polymer and the polymer matrix.