<p>Improving heat transfer (HT) efficiency in microchannel heat exchangers (MCHEs) is vital for advanced cooling applications. Ternary-hybrid nanofluids, which combine three types of nanoparticles in a base fluid, within complex wavy microchannel geometries, are a relatively unexplored area. The research focuses on enhancing heat transfer rate (HTR) while managing pressure drops under laminar flow. It examines how flow configurations, channel shapes, and nanofluid properties affect thermal and hydrodynamic performance, aiming to identify the optimal combination of nanoparticle type, shape, and concentration to boost ɛ. It analyzes the thermal and flow characteristics of a two-layered wavy-shaped MCHE using multi-walled carbon nanotubes (MWCNT), boron nitride (BN), and graphene (G) in distilled water. The numerical approach is solved using the finite element method (FEM), which is based on the Navier–Stokes and energy conservation equations. Effects of <i>Re</i>, volume fractions, sizes, shape factors, and concentration ratios of nanoparticles are examined. Flow fields and thermal distributions are analyzed using isotherms and streamlines and further assessed through analysis of variance (ANOVA) and sensitivity analysis (SA). Results indicate that the maximum ɛ value is 69% at <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(Re = 20\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>R</mi> <mi>e</mi> <mo>=</mo> <mn>20</mn> </mrow> </math></EquationSource> </InlineEquation>, and the growth rate of <i>Nu</i> reaches 89.56% as it rises from 20 to 200. The nanoparticle composition of (4/3:1/3:1/3) produced the highest HTR. Specifically, <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(Nu\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi mathvariant="italic">Nu</mi> </mrow> </math></EquationSource> </InlineEquation> exhibited an enhancement of 14.84% relative to the (1:1:0) ratio, 7.41% compared to the (1/3:1/3:4/3) ratio, and 1.87% in comparison with the uniformly distributed mixture (2/3:2/3:2/3). Conversely, <i>ɛ</i> demonstrated an increase of 8.24 and 6.31% when compared to the (0:1:1) and (1/3:4/3:1/3) ratios, respectively. A comprehensive parametric analysis of ternary-hybrid nanofluids in a wavy-shaped MCHE offers valuable design insights for improved heat management in electrical, biological, and energy systems.</p>

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Sensitivity study of thermal enhancement featuring ternary-hybrid nanofluid in a two-layered cross-flow microchannel heat exchanger

  • Salma Jahan,
  • Rehena Nasrin

摘要

Improving heat transfer (HT) efficiency in microchannel heat exchangers (MCHEs) is vital for advanced cooling applications. Ternary-hybrid nanofluids, which combine three types of nanoparticles in a base fluid, within complex wavy microchannel geometries, are a relatively unexplored area. The research focuses on enhancing heat transfer rate (HTR) while managing pressure drops under laminar flow. It examines how flow configurations, channel shapes, and nanofluid properties affect thermal and hydrodynamic performance, aiming to identify the optimal combination of nanoparticle type, shape, and concentration to boost ɛ. It analyzes the thermal and flow characteristics of a two-layered wavy-shaped MCHE using multi-walled carbon nanotubes (MWCNT), boron nitride (BN), and graphene (G) in distilled water. The numerical approach is solved using the finite element method (FEM), which is based on the Navier–Stokes and energy conservation equations. Effects of Re, volume fractions, sizes, shape factors, and concentration ratios of nanoparticles are examined. Flow fields and thermal distributions are analyzed using isotherms and streamlines and further assessed through analysis of variance (ANOVA) and sensitivity analysis (SA). Results indicate that the maximum ɛ value is 69% at \(Re = 20\) R e = 20 , and the growth rate of Nu reaches 89.56% as it rises from 20 to 200. The nanoparticle composition of (4/3:1/3:1/3) produced the highest HTR. Specifically, \(Nu\) Nu exhibited an enhancement of 14.84% relative to the (1:1:0) ratio, 7.41% compared to the (1/3:1/3:4/3) ratio, and 1.87% in comparison with the uniformly distributed mixture (2/3:2/3:2/3). Conversely, ɛ demonstrated an increase of 8.24 and 6.31% when compared to the (0:1:1) and (1/3:4/3:1/3) ratios, respectively. A comprehensive parametric analysis of ternary-hybrid nanofluids in a wavy-shaped MCHE offers valuable design insights for improved heat management in electrical, biological, and energy systems.