Modeling and optimization of gaseous thermal slip flow in rectangular microducts using a particle swarm optimization algorithm

Nawaf N. Hamadneh, Waqar A. Khan, Ilyas Khan, Ali Alsagri

Research output: Contribution to journalJournal articlepeer-review

7 Scopus citations

Abstract

In this study, pressure-driven flow in the slip regime is investigated in rectangular microducts. In this regime, the Knudsen number lies between 0.001 and 0.1. The duct aspect ratio is taken as 0 ≤ ε ≤ 1. Rarefaction effects are introduced through the boundary conditions. The dimensionless governing equations are solved numerically using MAPLE and MATLAB is used for artificial neural network modeling. Using a MAPLE numerical solution, the shear stress and heat transfer rate are obtained. The numerical solution can be validated for the special cases when there is no slip (continuum flow), ε = 0 (parallel plates) and ε = 1 (square microducts). An artificial neural network is used to develop separate models for the shear stress and heat transfer rate. Both physical quantities are optimized using a particle swarm optimization algorithm. Using these results, the optimum values of both physical quantities are obtained in the slip regime. It is shown that the optimal values ensue for the square microducts at the beginning of the slip regime.

Original languageEnglish
Article number488
JournalSymmetry
Volume11
Issue number4
DOIs
StatePublished - 1 Apr 2019

Keywords

  • Artificial neural networks
  • Forced convection
  • Knudsen number
  • Microducts
  • Nusselt number
  • Particle swarm optimization

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