Results 31 to 40 of about 52,698 (232)
In this investigation, experimental data of nanofluids have been modeled by the Artificial Neural Network (ANN) method for Functionalized COOH-MWCNT nanoparticles based on water in the heat exchanger.
Mohammad Hemmat Esfe +3 more
doaj +1 more source
The foremost purpose of the current study is to examine the heat transmission characteristics of two-phase and hybrid phase rotating nanofluid flow in three dimension over the stretchable sheet in the applied magnetic field.
Mubashar Arshad +7 more
doaj +1 more source
Buoyancy-induced convection of water-based nanofluids in differentially-heated horizontal Semi-Annuli [PDF]
A two-phase model based on the double-diffusive approach is used to perform a numerical study on natural convection of water-based nanofluids in differentially- heated horizontal semi-annuli, assuming that Brownian diffusion and thermophoresis are the ...
Quintino, Alessandro +3 more
core +3 more sources
This work aims to experimentally study the viscosity and thermal conductivity of water based Fe3O4 nanofluid with highly disaggregated nanoparticles. The citric acid is modified on Fe3O4 nanoparticles with carboxyl groups, which enables particles to be ...
Zeyu Liu +3 more
doaj +1 more source
A Comprehensive Review of Waste‐Derived Materials for Solar Still Performance Enhancement
Solar desalination reduces energy use and produces freshwater sustainably, but its productivity is limited and cannot meet rising demand. Thus, solar desalination system improvements are sought to boost water productivity. Waste materials are abundantly available and burden the environment, making them low‐cost enhancers for solar desalination systems.
A. S. Abdullah +6 more
wiley +1 more source
This investigation aimed to evaluate the thermal conductivity ratio (TCR) of SWCNT-CuO/Water nanofluid (NF) using experimental data in the T range of 28–50 ℃ and solid volume fraction range of SVF = 0.03 to 1.15% by an artificial neural network (ANN ...
Mohammad Hemmat Esfe +3 more
doaj +1 more source
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source
Simulation of the integration of PVT and TEG with a cooling duct filled with nanofluid
Recognizing the pivotal role of the cooling method in enhancing Photovoltaic-Thermal (PVT) efficiency, this study delves into the combined application of two innovative techniques: a finned tube and a confined jet. Additionally, the integration of a TEG (
E. Azizi, Z. Khalili, M. Sheikholeslami
doaj +1 more source
Background and objectives: Current article gives a comprehensive shape factor analysis of MoS2-SiO2 water based hybrid nanofluid in a semi vertical inverted porous cone along with the influence of transverse magnetic field, viscous dissipation and ...
E.N. Maraj +3 more
doaj +1 more source
The present work explores the physical aspects of the alumina and silver nanoparticles on the magnetohydrodynamic (MHD) flow of mixed convection micropolar hybrid nanofluid with ethylene glycol + water ( EG − H 2 O ) base fluid via stretching surface ...
Amjid Rashid, Muhammad Ayaz, Saeed Islam
doaj +1 more source

