Nonlinear function estimation fuzzy system (NFEFS) as a novel statistical approach to estimate nanofluids' thermal conductivity according to empirical data (Retracted article. See vol. 30, pg. 3267, 2020) Article

Tian, Zhe, Bagherzadeh, Seyed Amin, Ghani, Kamal et al. (2020). Nonlinear function estimation fuzzy system (NFEFS) as a novel statistical approach to estimate nanofluids' thermal conductivity according to empirical data (Retracted article. See vol. 30, pg. 3267, 2020) . INTERNATIONAL JOURNAL OF NUMERICAL METHODS FOR HEAT & FLUID FLOW, 30(6), 3267-3281. 10.1108/HFF-12-2018-0768

International Collaboration

cited authors

  • Tian, Zhe; Bagherzadeh, Seyed Amin; Ghani, Kamal; Karimipour, Arash; Abdollahi, Ali; Bahrami, Mehrdad; Safaei, Mohammad Reza

authors

publication date

  • January 1, 2020

published in

keywords

  • ARTIFICIAL NEURAL-NETWORK
  • CONVECTION HEAT-TRANSFER
  • COPPER-WATER NANOFLUID
  • ETHYLENE-GLYCOL
  • LATTICE BOLTZMANN METHOD
  • LID-DRIVEN CAVITY
  • Mathematics
  • Mathematics, Interdisciplinary Applications
  • Mechanics
  • Nanofluid preparation
  • Physical Sciences
  • RHEOLOGICAL BEHAVIOR
  • SLIP VELOCITY
  • Science & Technology
  • Statistical fuzzy system
  • THERMOPHYSICAL PROPERTIES
  • Technology
  • Thermal conductivity
  • Thermodynamics
  • WALL CARBON NANOTUBES

Digital Object Identifier (DOI)

publisher

  • EMERALD GROUP PUBLISHING LTD

start page

  • 3267

end page

  • 3281

volume

  • 30

issue

  • 6