Study on the prediction of thermal conductivity for Al-CuO/water nanofluids using artificial neural networks DOI

M. Dinesh Babu,

M. Naresh Babu,

Yuvarajan Devarajan

и другие.

Multiscale and Multidisciplinary Modeling Experiments and Design, Год журнала: 2024, Номер 8(1)

Опубликована: Дек. 4, 2024

Язык: Английский

A comprehensive assessment on recent advancements in spent fuel reprocessing and waste management: pioneering technologies for a sustainable nuclear future DOI

V. Sakthi Murugan,

Yuvarajan Devarajan

Kerntechnik, Год журнала: 2025, Номер unknown

Опубликована: Фев. 5, 2025

Abstract This work analyzes advancements in nuclear energy, focusing on spent fuel reprocessing and waste disposal. Key technologies such as pyroprocessing, aqueous reprocessing, the DUPIC (Direct Use of Spent PWR Fuel CANDU) process are examined for their effectiveness reducing environmental safety risks. Pyroprocessing is highlighted its ability to enhance actinide recovery reduce volume, while PUREX demonstrates high efficiencies uranium plutonium. The integration Computational Fluid Dynamics (CFD) chemical kinetics modeling optimizes parameters, improving outcomes. method shows potential reactor performance minimizing waste. Long-term management strategies, dry cask storage geological disposal, also explored, with heat dissipation technologies. Innovations like autonomous passive cooling antineutrino monitoring promising security. Additionally, study highlights Generation IV reactors Small Modular Reactors (SMRs) critical energy’s impact. emphasizes continued progress address technical, economic, challenges, ensuring viability energy.

Язык: Английский

Процитировано

0

Study on the prediction of thermal conductivity for Al-CuO/water nanofluids using artificial neural networks DOI

M. Dinesh Babu,

M. Naresh Babu,

Yuvarajan Devarajan

и другие.

Multiscale and Multidisciplinary Modeling Experiments and Design, Год журнала: 2024, Номер 8(1)

Опубликована: Дек. 4, 2024

Язык: Английский

Процитировано

0