Entropy generation of graphene-platinum hybrid nanofluid flow through a wavy cylindrical microchannel solar receiver by using neural networks Article

Khosravi, Raouf, Rabiei, Saeed, Khaki, Mohammad et al. (2021). Entropy generation of graphene-platinum hybrid nanofluid flow through a wavy cylindrical microchannel solar receiver by using neural networks . JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY, 145(4), 1949-1967. 10.1007/s10973-021-10828-w

International Collaboration

cited authors

  • Khosravi, Raouf; Rabiei, Saeed; Khaki, Mohammad; Safaei, Mohammad Reza; Goodarzi, Marjan

authors

publication date

  • August 1, 2021

published in

keywords

  • Artificial neural network
  • Bejan number
  • CHANNEL
  • CONDUCTIVITY
  • Chemistry
  • Chemistry, Analytical
  • Chemistry, Physical
  • EXCHANGER
  • Entropy generation
  • GEOMETRICAL PARAMETERS
  • HEAT-TRANSFER ENHANCEMENT
  • HYDROTHERMAL PERFORMANCE
  • Hybrid nanofluid
  • NUMERICAL-SIMULATION
  • OPTIMAL-DESIGN
  • Physical Sciences
  • SINK
  • Science & Technology
  • THERMAL PERFORMANCE
  • Thermodynamics
  • Wavy-shaped fins

Digital Object Identifier (DOI)

publisher

  • SPRINGER

start page

  • 1949

end page

  • 1967

volume

  • 145

issue

  • 4