Investigating Effect of Curliness on Porosity for Random Fibrous Networks


Kayalı Y., Balci M. N., Demirci E.

19th International Conference on Machine Design and Production (UMTIK2022), Nevşehir, Türkiye, 31 Ağustos - 03 Eylül 2022, ss.1, (Özet Bildiri)

  • Yayın Türü: Bildiri / Özet Bildiri
  • Basıldığı Şehir: Nevşehir
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1
  • Hacettepe Üniversitesi Adresli: Evet

Özet

Fibrous materials are plentiful in nature. Moreover, fibrous materials can be both natural and synthetics. Cellulosic papers, for instance, can be an example of natural fibrous networks. Nonwoven fibrous networks, on the other hand, are an example of manmade fibrous networks. Due to the complex microstructure of the fibrous network that inherits from the fibre crimp and random distribution of fibres, fibrous networks are commonly preferred to use in filtration applications. The effect of fibre curliness on the filtration performance of fibrous networks is
evaluated in this study. In addition to fibre crimp, the effect of basis weight regarding fibre crimp is also investigated within the scope of this research. To understand the effect of curliness on porosity, two distinct types of fibrous networks – for the first type, crimp fibres are used and the second one generated with straight fibres – are created with a fully parametric in-house software written in Python® programming language. With the developed parametric fibre network generation algorithm, crimp and non-crimp fibrous networks are generated according to user-defined basis weight values. The developed in-house script, moreover, can compute the porosity for each fibrous network. In this way, the filtration performance of generated fibrous networks can predict with the porosity parameter. In summary, the effect of fibre crimp on the filtration performance of fibrous networks is evaluated with the porosity value in the computer environment in this study. To do that, the developed in-house script can be used. The designed algorithm allows user to optimize their fibrous networks within the computer environment. In this way, maximum filtration performance can be achieved by optimising porosity parameter with respect to fibre curliness for various basis weight values. As a result of doing optimisation in the computer environment, significant time and money can be saved to develop optimum filtration capability for fibrous networks.