Statistical Modeling of Heat Transfer Enhancements through Controlled Temperature and Surface Modifications: A fundamental understanding of nanofluid behavior DOI Creative Commons
Ratchagaraja Dhairiyasamy, Saurav Dixit,

Subhav Singh

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103790 - 103790

Published: Dec. 1, 2024

Language: Английский

Comparative analysis of nanoparticle-based nanofluids in heat pipes: enhancing thermal conductivity with graphene oxide, copper oxide, iron oxide, and titanium oxide DOI Creative Commons
Radhakrishnan Nallusamy,

Senthilkumar Rathinasamy

Matéria (Rio de Janeiro), Journal Year: 2025, Volume and Issue: 30

Published: Jan. 1, 2025

ABSTRACT A heat pipe with low thermal resistance and high conductance is one of the most effective transfer devices. It can move large amounts over a small cross-sectional area extremely little temperature variations between two limits. This study uses Design Expert software to evaluate performance various nanofluids as working fluid for pipe, including copper oxide, graphene iron titanium oxide. The base used in this analysis an aqueous solution n-Octanol. parameters considered are condenser flow rate, filling ratio, angle inclination, input. In order assess efficiency pipe's fluids, all operational factors assessed using Central Composite (CCD) matrix Response Surface Methodology during experiment design. experimental findings demonstrate that suggested model predict within 1% variation. As result, be forecast efficiency.

Language: Английский

Citations

0

Statistical Modeling of Heat Transfer Enhancements through Controlled Temperature and Surface Modifications: A fundamental understanding of nanofluid behavior DOI Creative Commons
Ratchagaraja Dhairiyasamy, Saurav Dixit,

Subhav Singh

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103790 - 103790

Published: Dec. 1, 2024

Language: Английский

Citations

2