Evidence map›Paper›PMID 41741660›Full record

ArticleScientific reports2026

CFD-based numerical investigation of convective heat transfer in multi-channel micro-exchangers using MWCNT-water nanofluid.

G Anjaneya, S Sunil, M B Hanamantraygouda, N K Manjunatha, K Ravikiran, C Solaimuthu, H Ramesha, S Harish, B P Dileep, C Durga Prasad and 1 more

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

G AnjaneyaDepartment of Mechanical Engineering, RV College of Engineering, Bengaluru, Karnataka, India.
S SunilDepartment of Mechanical Engineering, Sri Venkateshwara College of Engineering, Bengaluru, Karnataka, India.
M B HanamantraygoudaDepartment of Mechanical Engineering, Sir M. Visvesvaraya Institute of Technology, Bengaluru, Karnataka, India.
N K ManjunathaDepartment of Basic Science, Sri Venkateshwara College of Engineering, Bengaluru, Karnataka, India.
K RavikiranDepartment of Mechanical Engineering, RV College of Engineering, Bengaluru, Karnataka, India.
C SolaimuthuDepartment of Mechanical Engineering, RV Institute of Technology and Management, Bengaluru, Karnataka, 560076, India.
H RameshaDepartment of Mechanical Engineering, Dayananda Sagar College of Engineering, Bengaluru, Karnataka, India.
S HarishDepartment of Mechanical Engineering, Cambridge Institute of Technology, Bengaluru, Karnataka, India.
B P DileepDepartment of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, Karnataka, India.
C Durga PrasadDepartment of Mechanical Engineering, RV Institute of Technology and Management, Bengaluru, Karnataka, 560076, India.
Aymen AdemDepartment of Mechanical Engineering, Bulehora University, Bule Hora, Ethiopia. aymenadem914@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficient cooling is a key factor influencing the performance of compact electronic systems, which requires advanced thermal management. Microchannel Heat Exchangers (MCHEs) are increasingly becoming popular due to their high surface area-to-volume ratio and ability to dissipate high heat flux. The current study aims to explore the performance of MCHEs using a water-based, multiwalled carbon nanotube-blended nanofluid as coolant under different channel counts and geometries. A 3D CFD model was developed in ANSYS Fluent using the finite volume method, assuming constant thermophysical properties and steady-state, laminar flow, with uniform heat flux boundary conditions. An aluminum MCHE of dimensions 45 mm × 45 mm × 7 mm was analyzed with five channel geometries (square, circular, sawtooth, cross, and curved sawtooth) at three channel counts (5, 8, and 11). Two concentrations of multi-walled carbon nanotube (MWCNT)–water nanofluid (0.1 and 0.2%) were considered. Results exhibited that the baseline configuration (Square channel, 5 channels, water as coolant) achieved a convective heat transfer coefficient of 2008.24 W/m²K, overall heat transfer coefficient (U) of 1258.75 W/m²K, and thermal effectiveness (ε) of 0.102. The optimum configuration, curved sawtooth geometry with 5 channels and 0.2% MWCNT nanofluid, yielded h = 8271 W/m²K, U = 6590 W/m²K, and ε = 0.4765. ANOVA analysis confirmed channel geometry as the most influential factor, contributing 70.6% to effectiveness and 78.2% to the overall heat transfer coefficient.

Indexed as

Ansys fluentChannel geometryConvective heat transfer coefficientEffectivenessMicrochannel heat exchanger (MCHE)Multi-walled carbon nanotubes (MWCNT)Thermal performance

Identifiers

PMID41741660
PMCPMC13043688

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LicenceCC BY-NC-ND
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