A novel correlation proposal for the thermal conductivity of graphene-water nanofluids

Şahin F., Genç Ö.

V. INTERNATIONAL TURKIC WORLD CONGRESS ON SCIENCE AND ENGINEERING (TURK-COSE 2023) PROGRAMME, Bishkek, Kırgızistan, 15 - 17 Eylül 2023, ss.235

  • Yayın Türü: Bildiri / Özet Bildiri
  • Basıldığı Şehir: Bishkek
  • Basıldığı Ülke: Kırgızistan
  • Sayfa Sayıları: ss.235
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

The most fundamental property expected from nanofluids is to improve the thermal conductivity and therefore the heat transfer properties of the base fluid. Since its discovery in 2004, studies on graphene have progressed very rapidly in every field. Graphene's high thermal conductivity has made it a high potential particle for nanofluids. Due to the high cost and time consumption of experimental measurements, researchers are trying to find a theoretical relationship to estimate the thermal conductivity of nanofluids. Nowadays, artificial neural networks (ANN) inspired by the behavior of the human brain are one of the suitable methods to predict and model the thermal conductivity of different materials such as gases, liquids, and solids. In this study, experimental data of graphene-water nanofluid belonging to 4 different mass ratios (0.001, 0.005, 0.015 and 0.045) found in the literature were trained in artificial neural networks with MSE and R values of 9.3916E-04 and 0.9998, respectively, and a new correlation based on temperature and mass ratio was proposed using the obtained outputs.