A5082443197- Advanced Combustion Engine Technologies
- Plasma and Flow Control in Aerodynamics
- Combustion and flame dynamics
- Advanced Aircraft Design and Technologies
- Vehicle emissions and performance
- Cavitation Phenomena in Pumps
- Plasma Applications and Diagnostics
- Rocket and propulsion systems research
- Advanced Battery Technologies Research
- Aerosol Filtration and Electrostatic Precipitation
- Aerodynamics and Fluid Dynamics Research
- Biodiesel Production and Applications
- Electric Vehicles and Infrastructure
- Catalytic Processes in Materials Science
- Plasma Diagnostics and Applications
- Electric and Hybrid Vehicle Technologies
- Combustion and Detonation Processes
- Hydraulic and Pneumatic Systems
- Advanced Sensor Technologies Research
- Gas Sensing Nanomaterials and Sensors
- Fluid Dynamics and Turbulent Flows
- Flow Measurement and Analysis
- Spacecraft and Cryogenic Technologies
- Radiative Heat Transfer Studies
- Water Systems and Optimization
University of Salento
2016-2025
Innovation Engineering (Italy)
2015-2024
Anadolu University
2022
Eskişehir City Hospital
2022
Eskisehir Technical University
2022
University of Salerno
2019-2021
Multidisciplinary Digital Publishing Institute (Switzerland)
2019
University of Patras
2019
University of Glasgow
2019
Innova (Italy)
2007
A high penetration of wind energy into the electricity market requires a parallel development efficient power forecasting models. Different hybrid methods were applied to prediction, using historical data and numerical weather predictions (NWP). comparative study was carried out for prediction production farm located in complex terrain. The performances Least-Squares Support Vector Machine (LS-SVM) with Wavelet Decomposition (WD) evaluated at different time horizons compared Artificial...
This study focuses on Digital Twin-integrated smart energy systems, which serve as an example of Next-Generation Critical Infrastructures (CI). The resilience these systems is influenced by a variety internal features and external interactions, all are subject to change following cyber-physical disturbances. necessitates real-time monitoring for CI during crises; however, significant gap remains in monitoring. To address this gap, leverages the role Internet Things (IoT) complex enhance...
In this work an integrated heath monitoring platform is proposed and developed for performance analysis degradation diagnostics of gas turbine engines. The aim to link engine measurable data its health status. A numerical tool has been implemented in order calculate design condition create a database expected vales. Then different levels have introduced the two main components, compressor single spool turbojet instruments trained detect component fault. evaluate prediction machine learning...
The aim of the present work is to evaluate influence pilot injection on combustion a TDI Diesel engine for different torque and speed conditions. For this investigation, timing duration were varied wide range values, their effects pressure, rate heat release, main delay, process exhaust emissions in terms NO x smoke analyzed. An in-line, four-cylinder, turbocharged FIAT 1930 cm 3 engine, equipped with Common Rail system, was tested. A piezoelectric sensor located chamber order acquire...
This paper reports a multitechnique investigation of micro dielectric barrier discharge plasma actuator (DBDPA) as promising system to control separated flows. The device was manufactured through photolithographic technique and its performances capabilities were compared with the ones conventional macro DBDPAs. Alternate current operation under sinusoidal voltage excitation studied in absence external flow by means many experimental techniques like imaging, visualizations, particle image...
An efficient maintenance plan is an important aspect for aeronautical companies to increase flight safety and decrease costs. Modern technologies are widely used in the Engine Health Monitoring (EHM) discipline develop intelligent tools capable of monitoring health status engines. In this work, Artificial Neural Networks (ANNs) in-detail Feed-Forward (FFNNs) were exploited addition a Kernel Principal Component Analysis (KPCA) design diagnostic tool predicting Performance Parameters (PPs)...
The engine fuel control system plays a crucial role in performance and economy. Fuel control, traditional systems, is carried out by means of sensor-based methods, which correct the flow rate through correlations or scheduled parameters order to reduce error between measured parameter its desired value. In presence component degradation, however, relationship measurable may lead an increase error. this research, linear models for advanced systems direct components degradation are proposed,...
Abstract In this study, aluminum-based wastes are used as energy carriers for on-demand hydrogen production through sustainable, eco-friendly, and cost-effective controlled electrochemical corrosion in aqueous solution. The process is very effective because it (i) uses waste metals to produce hydrogen, (ii) corroborates circular economy, (iii) produces high purity (iv) based on simple hydrolysis reaction of relevant solutions, (v) electricity not required recovers part the chemical Gibbs...