
Deleted Journal, Год журнала: 2025, Номер unknown, С. 100169 - 100169
Опубликована: Март 1, 2025
Язык: Английский
Deleted Journal, Год журнала: 2025, Номер unknown, С. 100169 - 100169
Опубликована: Март 1, 2025
Язык: Английский
Energy, Год журнала: 2024, Номер 308, С. 132732 - 132732
Опубликована: Авг. 3, 2024
Язык: Английский
Процитировано
4Journal of the Taiwan Institute of Chemical Engineers, Год журнала: 2024, Номер 163, С. 105650 - 105650
Опубликована: Июль 23, 2024
Язык: Английский
Процитировано
4Scientific African, Год журнала: 2025, Номер unknown, С. e02664 - e02664
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 381 - 418
Опубликована: Апрель 11, 2025
Nanofluids represent a promising frontier in materials science and engineering, offering unprecedented opportunities to enhance heat transfer efficiency, mechanical properties, biomedical applications. Nanofluids, which are suspensions of nanomaterials base fluids, have garnered significant interest due their unique properties potential applications across various fields. This chapter overview recent advancements, preparation methods, stability evaluation, enhancement current for nanofluids. Continued research innovation nanotechnology will play crucial role unlocking the full nanofluids diverse fields, paving way more efficient sustainable technological advancements future.
Язык: Английский
Процитировано
0Heat Transfer, Год журнала: 2025, Номер unknown
Опубликована: Май 23, 2025
ABSTRACT This study aims to enhance the efficiency of heat exchangers in Ocean Thermal Energy Conversion (OTEC) systems by investigating influence geometric parameters on transfer and fluid flow. Numerical simulations were performed under laminar flow conditions for a range Reynolds numbers (50–250), incorporating key parameters, such as aspect ratio (AR) concave–convex ( R ). A two‐dimensional computational model, validated against experimental numerical benchmarks, employs finite volume method steady‐state analysis. Results demonstrate that higher AR values significantly efficiency, while lower increase localized rates at cost greater pressure drops. Interestingly, highest is not observed configurations with Nusselt number. Instead, it occurs those balance moderate reduced drop, highlighting interplay between thermal performance resistance. Using machine learning, importance determining number quantified, identified most critical factor. Additionally, correlation model proposed predicting performance, reducing reliance simulations. These findings provide actionable insights optimizing exchanger designs, supporting development efficient sustainable OTEC systems.
Язык: Английский
Процитировано
0Desalination, Год журнала: 2025, Номер 601, С. 118564 - 118564
Опубликована: Янв. 16, 2025
Язык: Английский
Процитировано
0Journal of Thermal Analysis and Calorimetry, Год журнала: 2025, Номер unknown
Опубликована: Янв. 29, 2025
Язык: Английский
Процитировано
0Journal of Thermal Analysis and Calorimetry, Год журнала: 2025, Номер unknown
Опубликована: Янв. 31, 2025
Язык: Английский
Процитировано
0Applied Thermal Engineering, Год журнала: 2025, Номер unknown, С. 126046 - 126046
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0Journal of Mechanical Science and Technology, Год журнала: 2025, Номер unknown
Опубликована: Март 3, 2025
Язык: Английский
Процитировано
0