Comprehensive data-driven methods for estimating the thermal conductivity of biodiesels and their blends with alcohols and fossil diesels
Biodiesels offer viable alternatives to fossil diesels as renewable and clean energy sources.
Understanding the thermal conductivity of biodiesels is crucial for engine design and heat …
Understanding the thermal conductivity of biodiesels is crucial for engine design and heat …
Reliable smart models for estimating frictional pressure drop in two-phase condensation through smooth channels of varying sizes
Reliable and comprehensive predictive tools for the frictional pressure drop (FPD) are of
particular importance for systems involving two-phase flow condensation. However, the …
particular importance for systems involving two-phase flow condensation. However, the …
Estimation of frost layer characteristics during natural convection on vertical and inverted cold surfaces based on smart approaches
MA Moradkhani, GAO Runmiao, SH Hosseini… - Applied Thermal …, 2024 - Elsevier
This study aimed to make a progress in the modeling of frost layer characteristics during
natural convection on vertical and inverted cold surfaces, by directing focus towards the …
natural convection on vertical and inverted cold surfaces, by directing focus towards the …
Comprehensive modeling of frictional pressure drop during carbon dioxide two-phase flow inside channels using intelligent and conventional methods
Environmentally friendly nature of CO 2, associated with its safety and high efficiency, has
made it a widely used working fluid in heat exchangers. Since CO 2 has strange …
made it a widely used working fluid in heat exchangers. Since CO 2 has strange …
Rheological behavior of polyvinylidene fluoride/dimethylacetamide solutions: Experimental investigation and machine learning modeling
This study aimed to investigate the rheological properties of polyvinylidene fluoride/
dimethylacetamide solutions. The influences of shear rate, temperature, and additives …
dimethylacetamide solutions. The influences of shear rate, temperature, and additives …
Robust and comprehensive predictive models for methane hydrate formation condition in the presence of brines using black-box and white-box intelligent techniques
MR Nezhad, MA Moradkhani, B Bayati… - International Journal of …, 2024 - Elsevier
Accurate estimation of gas hydrate formation condition is crucial for many reasons. In one
hand, the gas hydrate formation is a promising approach for gas separation, cold energy …
hand, the gas hydrate formation is a promising approach for gas separation, cold energy …
CFD modelling and multi-objective optimization of MHO for hydrodynamic cavitation generator using a radial basis function neural network, and NSGA-II
In this study, the design of a multi-hole orifice (MHO) commonly used in cavitation reactors,
is optimized to maximize the vapor production and the turbulence intensity downstream of …
is optimized to maximize the vapor production and the turbulence intensity downstream of …
Process modeling and simulation of natural gas sweetening by absorption processes
AB Vakylabad - Advances Natural Gas: Formation, Processing, and …, 2024 - Elsevier
Natural gas sweetening is an essential process in the oil and gas industry to remove
impurities like hydrogen sulfide (H 2 S) and carbon dioxide (CO 2) from raw natural gas. This …
impurities like hydrogen sulfide (H 2 S) and carbon dioxide (CO 2) from raw natural gas. This …
Two-phase Flow Condensation Inside Smooth Channels of Various Sizes: Universal Smart Models to Estimate the Frictional Pressure Drop
MA Moradkhani, SH Hosseini, M Song, A Abbaszadeh - 2024 - researchsquare.com
Reliable and comprehensive predictive tools for the frictional pressure drop (FPD) are of
particular importance for systems involving two-phase flow condensation. However, the …
particular importance for systems involving two-phase flow condensation. However, the …