Developments and applications of porous medium combustion: A recent review
Global attention on fuel efficiency, reduced emissions and the ability to operate with a wide
range of fuels having low calorific values, continues to drive research and development in …
range of fuels having low calorific values, continues to drive research and development in …
A comprehensive review of methods of heat transfer enhancement in shell and tube heat exchangers
A wide range of studies was conducted to increase the heat transfer rate and reduce the size
and cost of shell and tube heat exchangers (STHE). The paper's contributions lie in its ability …
and cost of shell and tube heat exchangers (STHE). The paper's contributions lie in its ability …
A machine learning approach to the prediction of transport and thermodynamic processes in multiphysics systems-heat transfer in a hybrid nanofluid flow in porous …
Comprehensive analyses of transport phenomena and thermodynamics of complex
multiphysics systems are laborious and computationally intensive. Yet, such analyses are …
multiphysics systems are laborious and computationally intensive. Yet, such analyses are …
[HTML][HTML] Modelling of thermo-hydraulic behavior of a helical heat exchanger using machine learning model and fire hawk optimizer
The study of the fluid flow in heat exchangers and its related mass and heat transfer
processes is a very complicated research subject. Modeling of coupled fluid flow and heat …
processes is a very complicated research subject. Modeling of coupled fluid flow and heat …
Leveraging machine learning in porous media
The emergence of artificial intelligence (AI) and, more particularly, machine learning (ML),
has had a significant impact on engineering and the fundamental sciences, resulting in …
has had a significant impact on engineering and the fundamental sciences, resulting in …
Machine learning algorithms for improving the prediction of air injection effect on the thermohydraulic performance of shell and tube heat exchanger
In this study, improved prediction methods based on supervised machine-learning
algorithms is proposed to predict the effect of the application of air injection and transverse …
algorithms is proposed to predict the effect of the application of air injection and transverse …
Body-fitted topology optimization of 2D and 3D fluid-to-fluid heat exchangers
We present a topology optimization approach for the design of fluid-to-fluid heat exchangers
which rests on an explicit meshed discretization of the phases at stake, at every iteration of …
which rests on an explicit meshed discretization of the phases at stake, at every iteration of …
Pore-scale convection-conduction heat transfer and fluid flow in open-cell metal foams: A three-dimensional multiple-relaxation time lattice Boltzmann (MRT-LBM) …
Flow and heat transfer in porous foams are usually simulated based on averaged properties
that are far from the actual values and can lead to substantial inaccuracies in the results. The …
that are far from the actual values and can lead to substantial inaccuracies in the results. The …
Multi-objective optimization and exergoeconomic analysis of a continuous solar-driven system with PCM for power, cooling and freshwater production
In this article, three different modes of a novel integrated system would be evaluated by the
application of high temperature Thermal Energy Storage (TES) to produce electricity …
application of high temperature Thermal Energy Storage (TES) to produce electricity …
Application of porous-embedded shell and tube heat exchangers for the waste heat recovery systems
Among the techniques offered to improve the efficiency of Waste Heat Recovery Shell and
Tube Heat Exchangers (WHR-STHX), the porous-filling is reported as an effective technique …
Tube Heat Exchangers (WHR-STHX), the porous-filling is reported as an effective technique …