Nonlinear function estimation fuzzy system (NFEFS) as a novel statistical approach to estimate nanofluids' thermal conductivity according to empirical data 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 . 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

webpage

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