Impact of nanoparticle radius and inter-particle space on nanofluid flow on an extending surface: CCHF model with variable heat sources DOI
Humaira Yasmin

Journal of Thermal Analysis and Calorimetry, Год журнала: 2025, Номер unknown

Опубликована: Май 31, 2025

Язык: Английский

Artificial neural network analysis of MHD Maxwell nanofluid flow over a porous medium in presence of Joule heating and nonlinear radiation effects DOI
Muhammad Idrees Afridi,

Bandar Almohsen,

Shazia Habib

и другие.

Chaos Solitons & Fractals, Год журнала: 2025, Номер 192, С. 116072 - 116072

Опубликована: Янв. 31, 2025

Язык: Английский

Процитировано

2

Chemical reaction impact and Buongiorno Model of Trihybrid Nanofluid Blood flow in a squeezed porous Channel using the Levenberg–Marquardt neural network algorithm DOI Creative Commons
Muhammad Jawad, Waris Khan, Zhuojia Fu

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 104252 - 104252

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

2

Numerical Simulations of Thermal Convection in Unsteady Darcy Forchheimer Flow of Radiative Hybrid Nanofluid Over a Slipping Spinning Porous Disk DOI Creative Commons
Zahoor Iqbal, Farhan Ali, Huiying Xu

и другие.

Case Studies in Thermal Engineering, Год журнала: 2025, Номер unknown, С. 105826 - 105826

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

2

An artificial neural network approach to comparative aspects: A predictive analysis of magnetic dipole on the heat transfer of maxwell hybrid nano coolants flow in an inclined cylinder DOI Creative Commons

J. Aruna,

H. Niranjan

Case Studies in Thermal Engineering, Год журнала: 2025, Номер 68, С. 105825 - 105825

Опубликована: Фев. 6, 2025

Язык: Английский

Процитировано

1

Modeling syphilis progression and disability risk with neural networks DOI

Kamel Guedri,

Rahat Zarin, Mowffaq Oreijah

и другие.

Knowledge-Based Systems, Год журнала: 2025, Номер unknown, С. 113220 - 113220

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1

Experimental investigation of graphene-based nanofluid enhanced photovoltaic/thermal system: Energy and exergy analysis DOI Creative Commons

Hussain Madhi,

Sattar Aljabair, Ahmed Abdulnabi Imran

и другие.

Energy Conversion and Management X, Год журнала: 2025, Номер unknown, С. 100995 - 100995

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

1

Analysis of heat transfer of second-grade hybrid nanofluid and optimization using response surface methodology for thermal enhancement DOI Creative Commons

Sk Enamul,

Surender Ontela

Deleted Journal, Год журнала: 2025, Номер 2(1)

Опубликована: Янв. 27, 2025

Язык: Английский

Процитировано

0

Blood-based tri-hybrid nanofluid flow through a porous channel with the impact of thermal radiation used in drug administration DOI Creative Commons
Subhalaxmi Dey, Surender Ontela, P. K. Pattnaik

и другие.

Partial Differential Equations in Applied Mathematics, Год журнала: 2025, Номер unknown, С. 101137 - 101137

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Effect of Coriolis force on thermally radiative rotating hybrid nanofluid flow over a bi-directional stretching sheet DOI Creative Commons
Arpita Mandal, Arindam Sarkar

Hybrid Advances, Год журнала: 2025, Номер unknown, С. 100446 - 100446

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Novel Cu-MXene hybrid nanofluids for the experimental investigation of thermal performance in double pipe heat exchanger DOI Creative Commons

Kodi Rajesh Kumar,

Mohammed Rehaan Chandan,

Bandaru Kiran

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Март 22, 2025

Abstract This work aims at analyzing the performance of a double-pipe heat exchanger (DPHE) using low concentrated (0.02–0.06 vol%) water, methanol, castor oil and silicon based Cu-MXene hybrid nanofluids. Convective transfer experiments were successfully performed in fabricated modular double pipe without any twisted tapes, surfaces effectively measured various parameters such as Nusselt number (Nu), coefficient (h), rate (Q), overall (U), friction factor ( f ), pressure drop (∆P), thermal (TPF). The results indicated considerable improvement Nu, h, U with some penalty ∆P. Moreover, TPF value methanol water-based nanofluids exceeded unity showed superior characteristics, confirming viability improving DPHE. Eventually, LMTD positively validated Aspen HYSYS 12.1 version software to verify experimental variation less than ± 5.35% for LMTD. These demonstrate possible usage proposed management systems, automotive cooling, industrial cooling respectively. In addition, these findings also encourage its use cost-effective technologies.

Язык: Английский

Процитировано

0