Recent advances on the fundamental physical phenomena behind stability, dynamic motion, thermophysical properties, heat transport, applications, and challenges of …
In the past decade, nanotechnology's rapid developments have created quite a lot of
prospects for researchers and engineers to check up on. And nanofluids are important …
prospects for researchers and engineers to check up on. And nanofluids are important …
A critical review of specific heat capacity of hybrid nanofluids for thermal energy applications
Nanofluids have gained tremendous research interests in diverse fields of study due to their
improved properties, especially as heat transfer fluids. Numerous studies have revealed the …
improved properties, especially as heat transfer fluids. Numerous studies have revealed the …
Recent advances in machine learning research for nanofluid-based heat transfer in renewable energy system
Nanofluids have gained significant popularity in the field of sustainable and renewable
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …
Synthesis, stability, density, viscosity of ethylene glycol-based ternary hybrid nanofluids: Experimental investigations and model-prediction using modern machine …
A direct sol-gel technique was utilized to produce rGO-Fe 3 O 4-TiO 2 ternary hybrid
nanocomposites to produce ethylene glycol (EG) based stable nanofluids, characterized by …
nanocomposites to produce ethylene glycol (EG) based stable nanofluids, characterized by …
ANN-based swarm intelligence for predicting expansive soil swell pressure and compression strength
This research suggests a robust integration of artificial neural networks (ANN) for predicting
swell pressure and the unconfined compression strength of expansive soils (P s UCS-ES) …
swell pressure and the unconfined compression strength of expansive soils (P s UCS-ES) …
Exploring the specific heat capacity of water-based hybrid nanofluids for solar energy applications: A comparative evaluation of modern ensemble machine learning …
The current study aims to give insight into the usefulness of three underutilized yet
exceptionally efficient machine learning approaches in estimating the specific heat capacity …
exceptionally efficient machine learning approaches in estimating the specific heat capacity …
[HTML][HTML] Improving the thermal efficiency of a solar flat plate collector using MWCNT-Fe3O4/water hybrid nanofluids and ensemble machine learning
Z Said, P Sharma, LS Sundar, C Li, DC Tran… - Case Studies in Thermal …, 2022 - Elsevier
The thermal performance of a flat plate solar collector using MWCNT+ Fe 3 O 4/Water hybrid
nanofluids was examined in this research. The flat plate solar collector was tested using …
nanofluids was examined in this research. The flat plate solar collector was tested using …
Multi-attribute optimization of sustainable aviation fuel production-process from microalgae source
Z Said, TH Nguyen, P Sharma, C Li, HM Ali, SF Ahmed… - Fuel, 2022 - Elsevier
The aviation sector has been one of the most significant contributors to greenhouse gas
(GHG) emissions; there is an urgent need to transition from traditional fossil-based jet fuel to …
(GHG) emissions; there is an urgent need to transition from traditional fossil-based jet fuel to …
Heat transfer, entropy generation, economic and environmental analyses of linear Fresnel reflector using novel rGO-Co3O4 hybrid nanofluids
This work aims to enhance the heat transfer of a small prototype linear Fresnel reflector by
using rGO-Co 3 O 4/water hybrid nanofluids at a location in Blida region, in Algeria. Hybrid …
using rGO-Co 3 O 4/water hybrid nanofluids at a location in Blida region, in Algeria. Hybrid …
Experimental analysis of novel ionic liquid-MXene hybrid nanofluid's energy storage properties: Model-prediction using modern ensemble machine learning methods
Abstracts The current work employs two modern ensemble machine learning algorithms,
Matern 5/2 Gaussian process regression (GPR) and quadratic support vector regression …
Matern 5/2 Gaussian process regression (GPR) and quadratic support vector regression …