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Active flow control on airfoils by reinforcement learning
(Elsevier, 2023-11-05)
Active flow control is a widespread practice for airfoil aerodynamic performance enhancement. Within active flow control, reactive strategies are very effective, but the adequate design of these strategies is often complex. ...
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 ...
Performance enhancement of the artificial neural network– based reinforcement learning for wind turbine yaw control
(Wiley, 2019-11-03)
The yaw angle control of a wind turbine allows maximization of the power absorbed
from the wind and, thus, the increment of the system efficiency. Conventionally, classical
control algorithms have been used for the yaw ...
Alzheimer’s Disease Diagnosis Using Machine Learning: A Survey
(MDPI, 2023-07-18)
Alzheimer’s is a neurodegenerative disorder affecting the central nervous system and cognitive processes, explicitly impairing detailed mental analysis. Throughout this condition, the affected individual’s cognitive abilities ...
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 ...
Vanadium Redox Flow Batteries: A Review Oriented to Fluid-Dynamic Optimization
(MDPI, 2020-12-31)
Large-scale energy storage systems (ESS) are nowadays growing in popularity due to the increase in the energy production by renewable energy sources, which in general have a random intermittent nature. Currently, several ...
Delamination Fracture Behavior of Unidirectional Carbon Reinforced Composites Applied to Wind Turbine Blades
(MDPI, 2021-01-27)
One of the materials that is used widely for wind turbine blade manufacturing are fiber-reinforced composites. Although glass fiber reinforcement is the most used in wind turbine blades, the use of carbon fiber allows ...
Computational Methods for Modelling and Optimization of Flow Control Devices
(MDPI, 2020-07-19)
Over the last few years, the advances in size and weight for wind turbines have led to the development of flow control devices. The current work presents an innovative method to model flow control devices based on a cell-set ...
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 ...
Automatic Identification Algorithm of Equivalent Electrochemical Circuit Based on Electroscopic Impedance Data for a Lead Acid Battery
(MDPI, 2021-06-06)
Obtaining tools to analyze and predict the performance of batteries is a non-trivial challenge because it involves non-destructive evaluation procedures. At the research level, the development of sensors to allow cell-level ...