Estimate the shear rate & apparent viscosity of multi-phased non-Newtonian hybrid nanofluids via new developed Support Vector Machine method coupled with sensitivity analysis Article

Tian, Zhe, Arasteh, Hossein, Parsian, Amir et al. (2019). Estimate the shear rate & apparent viscosity of multi-phased non-Newtonian hybrid nanofluids via new developed Support Vector Machine method coupled with sensitivity analysis . Physica A: Statistical Mechanics and its Applications, 535 10.1016/j.physa.2019.122456

International Collaboration

cited authors

  • Tian, Zhe; Arasteh, Hossein; Parsian, Amir; Karimipour, Arash; Safaei, Mohammad Reza; Truong, Khang Nguyen

authors

publication date

  • December 1, 2019

published in

keywords

  • BOILING HEAT-TRANSFER
  • COPPER-WATER NANOFLUID
  • LATTICE BOLTZMANN METHOD
  • LID-DRIVEN CAVITY
  • MIXED-CONVECTION FLOW
  • Multi-phase
  • NATURAL-CONVECTION
  • Nanofluid
  • Non-Newtonian
  • Physical Sciences
  • Physics
  • Physics, Multidisciplinary
  • RHEOLOGICAL BEHAVIOR
  • SLIP VELOCITY
  • Science & Technology
  • Sensitivity analysis
  • Support Vector Machine
  • THERMAL-CONDUCTIVITY
  • THERMOPHYSICAL PROPERTIES

Digital Object Identifier (DOI)

volume

  • 535