Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
Cascade Testing and CFD Applied to Gas Turbine Performance Improvement with Compressor Cleaning [PDF]
With the growing interest in life cycle costs for heavy-duty gas turbines, equipment operators are investigating the trade off between performance improvements and associated maintenance costs. One of the key factors leading to performance degradation
Gannan, Aiad
core
Fuzzy scheduling control for gas turbine aero-engine: a multiobjective approach
This paper investigates the use of a nonconventional approach to control a gas turbine aero-engine. The rationale behind this study is the need to develop advanced tools and techniques that can assist in improving the performance of the system and ...
Bica, B. +2 more
core +1 more source
Analytical Formulation of the Jacobian Matrix for Non-linear Calculation of the Forced Response of Turbine Blade Assemblies with Wedge Friction Dampers [PDF]
A fundamental issue in turbomachinery design is the dynamical stress assessment of turbine blades. In order to reduce stress peaks in the turbine blades at engine orders corresponding to blade natural frequencies, friction dampers are employed.
Gola M.M +4 more
core +1 more source
Additively Manufactured Porous Ceramics as Tunable Dielectrics for Passive Temperature Sensing
Porous ceramic lattices, 3D‐printed from a multicomponent oxide ink, are integrated with LC resonators for passive wireless temperature sensing. By tuning porosity, the dielectric properties and RF response are engineered to produce distinct resonant frequency shifts with temperature. The results establish a structure‐driven approach to customizing the
Sogol Heidarishahrivar +5 more
wiley +1 more source
Method of formulating input parameters of neural network for diagnosing gas-turbine engines
A method of obtaining test and training data sets has been developed. These sets are intended for training a static neural network to recognise individual and double defects in the air-gas path units of a gas-turbine engine.
Mykola Kulyk +3 more
doaj +1 more source
Gas turbine sub-idle performance modelling : altitude relight and windmilling [PDF]
Sub-idle is a very challenging operating region, as the performance of a gas tur¬bine engine changes significantly compared to design conditions. In addition, the regulations for new and existing engines are becoming stricter and the prediction of engine’
Zachos, Pavlos K.
core
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Implications of aero-engine deterioration for a military aircraft's performance [PDF]
World developments have led the armed forces of many countries to become more aware of how their increasingly stringent financial budgets are spent. Major expenditure for military authorities is upon aero-engines.
Naeem, M., Naeem, Muhamma
core
Prediction of jet engine parameters for control design using genetic programming
The simulation of a jet engine behavior is widely used in many different aspects of the engine development and maintenance. Achieving high quality jet engine control systems requires the iterative use of these simulations to virtually test the ...
Giovanna Martinez Arellano +5 more
core +1 more source

