• Title of article

    Multi-Objective Optimization of Different Channel Shapes in Heat Exchangers

  • Author/Authors

    Salimi, Saeid Department of Chemical Engineering - Faculty of Engineering - University of Kurdistan, Sanandaj, Iran , Beigzadeh, Reza Department of Chemical Engineering - Faculty of Engineering - University of Kurdistan, Sanandaj, Iran

  • Pages
    26
  • From page
    293
  • To page
    318
  • Abstract
    The effect of geometric parameters of the zigzag, rectangular, and serpentine channels on convective heat transfer coefficient and pressure drop was investigated using computational fluid dynamics (CFD). The same boundary conditions were considered in all channels, and the number of steps was equal to 10. The simulations were performed for turbulent flows (liquid water as the operating fluid), and the Reynolds number (Re) range between 20000 and 60000 was selected. The zigzag channel showed the best thermal performance, and the serpentine channel showed the best hydraulic performance. The thermal-hydraulic performance (THP) factor was employed for comparing the channels. As the complexity of the channel’s surfaces increased, the two parameters of convective heat transfer coefficient (positive factor) and pressure drop (negative factor) increased simultaneously. Therefore, predictive correlations for friction factor and Nusselt number were presented using a genetic algorithm (GA), The multi-objective optimization was performed to obtain the most appropriate Nusselt number and minimum friction factor as the two basic objective functions. The resulting Pareto set, which includes the optimum geometric dimensions of the heat exchangers, allows a designer to chooce the geometries based on higher heat transfer or lower pumping power.
  • Keywords
    Computational Fluid Dynamics (CFD) , Genetic Algorithm Multi-Objective Optimization , Heat Exchanger , Rectangular , Serpentine , Zigzag
  • Journal title
    Journal of Chemical and Petroleum Engineering
  • Serial Year
    2021
  • Record number

    2703098