Results 21 to 30 of about 54,704 (229)
Numerical simulation on the effectiveness of hybrid nanofluid in jet impingement cooling application
This paper investigates the heat transfer performance of different nanofluid coolants with the employment of a single nozzle, axisymmetric, and confined jet impingement method. A numerical analysis using Ansys FLUENT software is carried out. A mixture of
Nur Syahirah M. Hanafi +5 more
doaj +1 more source
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
This investigation unfolds the hydrothermal behavior and cooling process on the hybrid nanofluid spraying on an inclined revolving disk. The disk is presumed to rotate with the constant angular speed Ω.
Nilankush Acharya
doaj +1 more source
The present work proposes a new cooling system for thermal management and cooling of photovoltaic (PV) systems. Pulsating flow with multiple jet impingement is considered by using different fluid types. Hybrid nanofluid and alumina–water nanofluid having
Samah Maatoug +7 more
doaj +1 more source
A Review on Microreactor Design for Effective Fischer–Tropsch Process Intensification
Design strategies for effective Fischer–Tropsch process intensification are summarized based on experimental and simulation experiences. Recommendations for catalyst loading of packed‐bed and wash‐coated microchannel, microtube, micromonolith, and microstructured reactors are discussed.
Yangjun Wei +5 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
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
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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
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

