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Optimization of heat transfer nanofluid blood flow through a stenosed artery in the presence of Hall effect and hematocrit dependent viscosity
(2023-05-18)
The heat transfer rate of the MHD nanofluid blood flow through a stenosed composite artery with hematocrit-dependent viscosity and Hall effect is optimized by using the response surface methodology (RSM). An experimental ...
Testing of self-similarity and helical symmetry in vortex generator flow simulations
(Wiley, 2016-06)
Vortex generators (VGs) are used increasingly by the wind turbine industry as flow control devices to improve rotor blade
performance. According to experimental observations, the vortices generated by VGs have previously ...
Numerical performance of CO2 accumulation and droplet dispersion from a cough inside a hospital lift under different ventilation strategies
(Nature, 2024)
The impact of mechanical ventilation on airborne diseases is not completely known. The recent pandemic of COVID-19 clearly showed that additional investigations are necessary. The use of computational tools is an advantage ...
Parametric study of low-profile vortex generators
(Elsevier, 2017-07-13)
Vortex generators (VGs) are flow control devices employed to avoid or delay flow separation. In most cases, the VG is calculated with the same height as the boundary layer (BL) thickness at the device position. However, ...
Variable Speed Wind Turbine Controller Adaptation By Reinforcement Learning
(ACM, 2016-12-30)
The control of Variable Speed Wind Turbines (VSWT) to achieve optimal balance of power generation stability and rotor angular speed is impeded by the non-linear dynamics of the turbine-wind interaction and sudden changes ...
Sizing a Battery Energy Storage System for Hybrid Renewable Power Plants Based on Optimal Market Participation Under Different Market Scenarios
(IEEE, 2022-07-08)
This article presents a method for selecting
the best battery sizing based on an optimal market
participation strategy in a hybrid renewable power
plant. The proposed formulation consid-ers different
scenarios to ensure ...
Systematic modeling of photovoltaic modules based on artificial neural networks
(Elsevier, 2016-06-03)
Using accurate models of photovoltaic modules is of major importance to make realistic simulations of these systems in order to study their elements for a better performance. In this paper we address the problem of the ...
Computational Modeling of a 2D Vanadium Redox Flow Battery Cell
(Springer Nature, 2024-01)
These days, the implementation of sustainable power generation has led to a
difference in propensity in the energy creation and capacity frameworks,
compelling them to conquer the hardships that it addresses. Considering ...
2D PIV/PTV–3D uRANS RSM Investigation on the Combined Effect of Iron Filings Filtering Techniques in a Backward Facing Step Flow
(Springer, 2023-03)
The presence of suspended particles in liquid fluids is one of the main reasons for hydraulic system failure. Metallic impurities in particular increase the presence of toxic substances in wastewater; therefore, it is vital ...
Electrochemical Impedance Spectrum Equivalent Circuit Parameter Identification Using a Deep Learning Technique
(MDPI, 2023-12-18)
Physical models are suitable for the development and optimization of materials and cell designs, whereas models based on experimental data and electrical equivalent circuits (EECs) are suitable for the development of ...