International Journal of Thermal Sciences, Journal Year: 2024, Volume and Issue: 210, P. 109661 - 109661
Published: Dec. 24, 2024
Language: Английский
International Journal of Thermal Sciences, Journal Year: 2024, Volume and Issue: 210, P. 109661 - 109661
Published: Dec. 24, 2024
Language: Английский
Heat Transfer, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 10, 2025
ABSTRACT Creating a high heat transfer flux is not common phenomenon and occurs only when source of production (or consumption) placed in small volume; precision casting systems, should be done at velocity due to the presence thin molten branches. Nanofluids present significant opportunity improve thermal efficiency. In this research, combination different solutions enhance has been evaluated simultaneously. For purpose, current aluminum oxide non‐Newtonian nanofluid volume percentages 0, 0.5, 1.5, 2 investigated torsional exchanger with rotating triangular blade around tube. The base fluid consists water 0.1% mass carboxymethyl cellulose. study's results, exchanger's performance predicted. Combining neural network optimization code numerical simulation double‐tube spiral geometry using increase innovation research.
Language: Английский
Citations
0Heat and Mass Transfer, Journal Year: 2025, Volume and Issue: 61(4)
Published: April 1, 2025
Language: Английский
Citations
0Matéria (Rio de Janeiro), Journal Year: 2025, Volume and Issue: 30
Published: Jan. 1, 2025
ABSTRACT Heat pipes, known for their high efficiency and reliability, are widely used in these systems, but performance is dependent on the thermal properties of working fluid. Traditional coolants have limitations, prompting exploration nanofluids—suspensions nanoparticles base fluids—to enhance performance. This study investigates effect silver nanomaterial-based nanofluids with distinct morphologies—nanospheres nanocubes—along hybrid compositions incorporating carbon nanotubes, graphene, quantum dot-metal oxide semiconductors (QD-MOS). Using an experimental approach, evaluates heat transfer coefficients, efficiency, TR across varying concentrations power inputs. Response Surface Methodology (RSM) machine learning techniques were employed optimization. Results indicate that nanosphere-based HTC by 38% compared to DI water, while nanofluids, particularly Ag-Graphene, achieve a 47% improvement. significantly reduced, nanocube-based fluids performing better at higher These findings highlight potential tailored nanofluid formulations pipe industrial applications.
Language: Английский
Citations
0Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 124417 - 124417
Published: Sept. 1, 2024
Language: Английский
Citations
3Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 106198 - 106198
Published: April 1, 2025
Language: Английский
Citations
0International Journal of Thermal Sciences, Journal Year: 2024, Volume and Issue: 210, P. 109661 - 109661
Published: Dec. 24, 2024
Language: Английский
Citations
1