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
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 …
Predictive analytics for fresh concrete rheological characteristics using artificial intelligence approaches
Acquiring precise knowledge of the rheological characteristics of fresh concrete is
particularly important for ensuring its pumpability and flowability. The present study aims to …
particularly important for ensuring its pumpability and flowability. The present study aims to …
Minimum spouting velocity of fine particles in fountain confined conical spouted beds using machine learning and least square fitting approaches
The present study concerns the development of new models to estimate the minimum
spouting velocity (U ms) in various configurations of fountain‐confined conical spouted beds …
spouting velocity (U ms) in various configurations of fountain‐confined conical spouted beds …
Robust and comprehensive predictive models for methane hydrate formation condition in the presence of brines using black-box and white-box intelligent techniques
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 …
Comprehensive models to estimate the Isobaric heat capacity of deep eutectic solvents based on Machine learning algorithms
Deep eutectic solvents (DESs) have recently gained significant attention due to their
sustainable and environmentally friendly properties. Acquiring exact knowledge regarding …
sustainable and environmentally friendly properties. Acquiring exact knowledge regarding …
[HTML][HTML] Sensitive dependency of minimum spouting velocity on angle of repose of solid particles and cone angle in conical spouted beds
PK Mollick, M Tellabide, M Bolaños, I Estiati… - Powder Technology, 2024 - Elsevier
Minimum spouting velocity (u ms) varies with the geometry of a Spouted Bed (SB) contactor
and the gas-solid properties. The angle of repose (θ r), being an important bulk property of …
and the gas-solid properties. The angle of repose (θ r), being an important bulk property of …