Skip to main navigation Skip to search Skip to main content

Numerical Modelling and Optimization of Thermal Performance of Heat Sink with Uniform Cross-Sectional Area using Shape Optimized Al2 O3-SiC Nanoparticles in Base Fluid

  • Ammembal Gopalkrishna Pai
  • , Rekha Gopalkrishna Pai*
  • , Abdullah Abdul Samat
  • , Akshatha Bekal Laxmish
  • *Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This study explores the flow characteristics of proposed “Integrated hybrid nanofluid heat sink model (IHNFHSM)” with a novel mixture of Al2O3–SiC nanoparticles of various shape in base fluid. The primary objective is to evaluate the influence of various similarity parameters on the heat transfer performance of the fin structure subjected to convective and insulated tip boundary conditions. A novel combination of Al2O3–SiC hybrid nanoparticles offer a significant potential for improved dissipation of heat in engineering applications. The analysis is carried out using Darcy's model, incorporating temperature-dependent natural convection, and radiation effects. The governing energy equations are non-dimensionalized and solved using three stage Lobatto quadrature numerical technique with suitable boundary conditions. The results provide insight into the effect of similarity parameters on the thermal performance of the system under consideration. Quantitatively, the findings reveal an increase of 23% in the thermal conductivity of base fluid with hybrid nanoparticles. The heat transfer rate of convective fin tip was enhanced by an average of 17.13% at Nc = Nr = m2 = 1 compared to an insulated fin tip. An optimal thermal performance of the model in terms of heat transfer rate was observed by an enhancement of 100% in Nc, Nr and m2 values from 10 to 20. Additionally, dimensionless fin temperature at Nc = 1 enhanced by 12.16% for the lamina – lamina shape combination of nanoparticles over lamina – spherical, clearly showing its dominance in the thermal performance over the rest of the combinations.

    Original languageEnglish
    Pages (from-to)145-169
    Number of pages25
    JournalJournal of Advanced Research in Fluid Mechanics and Thermal Sciences
    Volume125
    Issue number2
    DOIs
    Publication statusPublished - 01-2025

    All Science Journal Classification (ASJC) codes

    • Fluid Flow and Transfer Processes

    Fingerprint

    Dive into the research topics of 'Numerical Modelling and Optimization of Thermal Performance of Heat Sink with Uniform Cross-Sectional Area using Shape Optimized Al2 O3-SiC Nanoparticles in Base Fluid'. Together they form a unique fingerprint.

    Cite this