Impact of Coated Silver Nanoplates on the Thermal Efficiency of Heat Pipes Under Varying Operating Conditions DOI Creative Commons
Ratchagaraja Dhairiyasamy,

Deepika Gabiriel,

V. Gopinath

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 105662 - 105662

Published: Dec. 1, 2024

Language: Английский

Fuzzy logic-supported building design for low-energy consumption in urban environments DOI Creative Commons

M. Arun,

Cristina Efremov, Van Nhanh Nguyen

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 105384 - 105384

Published: Oct. 1, 2024

Language: Английский

Citations

8
Comprehensive Investigation into the Thermal Performance of Nanofluid-Enhanced Heat Pipes for Advanced Thermal Management Systems DOI Creative Commons
Mohan Govindasamy, Manikandan Ezhumalai, Ratchagaraja Dhairiyasamy

et al.

Eng—Advances in Engineering, Journal Year: 2025, Volume and Issue: 6(3), P. 55 - 55

Published: March 17, 2025

This study investigates the thermal performance of heat pipes using nanofluids based on silver (Ag), aluminum oxide (Al2O3), and multi-walled carbon nanotubes (MWCNTs) at varying concentrations. Heat pipes, recognized for their efficiency in passive management, face limitations with traditional fluids. Nanofluids, engineered by dispersing nanoparticles base fluids, were explored as alternatives due to superior conductivity convective properties. Nanofluids prepared ultrasonication, conductivity, viscosity, stability evaluated. Experimental tests conducted under controlled conditions assess impact nanoparticle type, concentration, inclination angle, fluid filling ratio metrics, including resistance (TR) transfer coefficients (HTCs). The results demonstrated that Ag-based outperformed others, achieving a 150% increase an 83% reduction TR compared deionized water. HTCs increased 300% Ag 0.5% concentration. Inclination angles ratios also significantly affected performance, optimal identified 70% 30° angle. findings highlight potential optimizing systems provide framework selecting suitable parameters industrial applications.

Language: Английский

Citations

0
Comparative characterization of heat transfer and entropy generation of micropolar‐Jeffrey, micropolar‐Oldroyd‐B, and micropolar‐Second grade binary nanofluids in PTSCs settings DOI

Philopatir B. Raafat,

M. AbuGhanem,

Fayez N. Ibrahim

et al.

ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, Journal Year: 2024, Volume and Issue: 104(10)

Published: Aug. 9, 2024

Abstract In this paper, we delve into the behavior of binary micropolar nanofluids, specifically micropolar‐Jeffrey, micropolar‐Oldroyd‐B, and micropolar‐Second grade, within parabolic trough solar collector (PTSC) configurations. The primary objective is to enhance collective efficiency device by means a comprehensive comparison amongst three aforementioned nanofluids. governing equations, including continuity, linear momentum, angular energy were systematically formulated. Subsequently, introduction suitable similarity variables facilitated transformation intricate partial differential equations manageable ordinary equations. These resultant then tackled utilizing shooting method via bvp4c numerical package in MATLAB. study critically examines influence diverse parameters that dictate flow dynamics This encompasses nanofluid velocity, temperature distribution, entropy generation, skin friction coefficient, local Nusselt number. Remarkably, research uncovers maximum levels experienced enhancements 12.1134%, 12.0616%, 11.0645% for grade respectively. results imply these nanofluids leads notable thermal PTSCs settings.

Language: Английский

Citations

1
Comparative analysis of machine learning techniques for estimating dynamic viscosity in various nanofluids for improving the efficiency of thermal and radiative systems DOI
Lotfi Snoussi,

Olfa Fakhfakh,

Mohamed Ibn Khedher

et al.

Journal of Radiation Research and Applied Sciences, Journal Year: 2024, Volume and Issue: 18(1), P. 101205 - 101205

Published: Nov. 26, 2024

Language: Английский

Citations

0
A critical analysis and prediction of heat transfer and flow characteristics in the sudden expansion channel with square block using machine learning DOI

V Murugashri,

P Balavignesh,

P. Rahul

et al.

Numerical Heat Transfer Part B Fundamentals, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 25

Published: June 6, 2024

In this article, the numerical simulation of a 2D flow in an SEC (Sudden expansion channel) with square block as VG (Vortex generator) is performed using FVM (Finite volume method) Ansys FLUENT 2022 R1. A 5x5 mm deployed having ER = 2 (Expansion ratio). The impact vortex dynamics on heat interaction amplification and fluid attributes are observed for various values Re ranging from 117 to 583. q 500, 750, 1000 W/m2 have been thoroughly investigated different positions block. working water that flows at step, 10, 20, 30, 40 mm. Machine learning algorithms were utilized forecast most advantageous conditions input variables, including position, flux (q), number, order achieve highest possible overall performance factor (OPF). It predicted maximum OPF achieved 640 when placed 30 step bottom wall.

Language: Английский

Citations

0
An imperative need for machine learning algorithms in heat transfer application: a review DOI

M. Ramanipriya,

S. Anitha

Journal of Thermal Analysis and Calorimetry, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 21, 2024

Language: Английский

Citations

0
Impact of Coated Silver Nanoplates on the Thermal Efficiency of Heat Pipes Under Varying Operating Conditions DOI Creative Commons
Ratchagaraja Dhairiyasamy,

Deepika Gabiriel,

V. Gopinath

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 105662 - 105662

Published: Dec. 1, 2024

Language: Английский

Citations

0