Investigation of the Replication Quality of Microstructures on Injection Moulded Specimens Made from Recycled Polypropylene Composites Reinforced with Carbon Nanotubes

Authors

  • Krisztián Kun
    Affiliation
    Department of Innovative Vehicles and Materials, GAMF Faculty Engineering and Computer Science, John von Neumann University, H-6000 Kecskemét, Izsáki st. 10., Hungary
  • Attila Bata
    Affiliation
    Department of Innovative Vehicles and Materials, GAMF Faculty Engineering and Computer Science, John von Neumann University, H-6000 Kecskemét, Izsáki st. 10., Hungary
  • Ferenc Ronkay
    Affiliation
    Department of Innovative Vehicles and Materials, GAMF Faculty Engineering and Computer Science, John von Neumann University, H-6000 Kecskemét, Izsáki st. 10., Hungary
https://doi.org/10.3311/PPme.37288

Abstract

During the research, functional microstructures were created on the cavity surface of the injection moulding tool using femtosecond laser technology. Automotive-grade polypropylene (PP), as well as its recycled and carbon nanotube-reinforced composites, were used as the raw materials. The replicated structures were examined using confocal microscopy. It is expected that by optimizing the process parameters, the filling of the structured cavity surface with nanocomposite materials can reach a quality level comparable to plastic specimens made from non-reinforced raw materials. The aim is to provide results of scientific and industrial value to demonstrate the influence of the modified mould surface on the flow of the polymer melt and thus on the filling of the injection moulded products.

Keywords:

carbon nanotubes, recycling, microstructure, replication, end-of-life vehicles

Citation data from Crossref and Scopus

Published Online

2024-07-22

How to Cite

Kun, K., Bata, A., Ronkay, F. “Investigation of the Replication Quality of Microstructures on Injection Moulded Specimens Made from Recycled Polypropylene Composites Reinforced with Carbon Nanotubes”, Periodica Polytechnica Mechanical Engineering, 68(3), pp. 247–253, 2024. https://doi.org/10.3311/PPme.37288

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Articles