Exergy as a useful tool for the performance assessment of aircraft gas turbine engines: A key review
It is known that aircraft gas turbine engines operate according to thermodynamic principles.
Exergy is considered a very useful tool for assessing machines working on the basis of …
Exergy is considered a very useful tool for assessing machines working on the basis of …
On-design and off-design operation performance assessmentsof an aero turboprop engine used on unmanned aerial vehicles (UAVs) in terms of aviation …
O Balli, H Caliskan - Energy Conversion and Management, 2021 - Elsevier
In this study, a turboprop engine (TPE) of an unmanned aerial vehicle (UAV) is investigated
for “on-design” and “off-design” conditions at maximum operation mode. One project point is …
for “on-design” and “off-design” conditions at maximum operation mode. One project point is …
Dual-convolutional neural network based aerodynamic prediction and multi-objective optimization of a compact turbine rotor
Y Wang, T Liu, D Zhang, Y Xie - Aerospace Science and Technology, 2021 - Elsevier
With the development of neural network technology, surrogate models and dimensionality
reduction strategies based on machine learning have become the research hotspots of …
reduction strategies based on machine learning have become the research hotspots of …
Developing a model to predict the start of combustion in HCCI engine using ANN-GA approach
M Taghavi, A Gharehghani, FB Nejad… - Energy Conversion and …, 2019 - Elsevier
The combustion process in Homogeneous Charge Compression Ignition Engines (HCCI) is
one of the new methods of futuristic combustion technologies. Since there is no direct …
one of the new methods of futuristic combustion technologies. Since there is no direct …
Application of genetic algorithm in exergy and sustainability: A case of aero-gas turbine engine at cruise phase
As sustainability, increasing of fuel and energy efficiency has become a greater concern in
aircraft design and fleet operation for two decades. To meet this need, a new methodology is …
aircraft design and fleet operation for two decades. To meet this need, a new methodology is …
Artificial neural network structure optimisation for accurately prediction of exergy, comfort and life cycle cost performance of a low energy building
IG Kerdan, DM Gálvez - Applied Energy, 2020 - Elsevier
In recent years, surrogate modelling approaches have been implemented to overcome the
time and computational power demands of traditional building energy modelling. Artificial …
time and computational power demands of traditional building energy modelling. Artificial …
Machine learning based approach for forecasting emission parameters of mixed flow turbofan engine at high power modes
To predict aircraft emissions from their own features has become more important as the
usage field of aviation engines is extended to different sectors for different purposes. In the …
usage field of aviation engines is extended to different sectors for different purposes. In the …
A risk-based optimization framework for integrated supply chains using genetic algorithm and artificial neural networks
Modern supply chains are complicated networks that stretch over different geographical
locations, which make them vulnerable to a variety of risks. An effective supply chain …
locations, which make them vulnerable to a variety of risks. An effective supply chain …
A hybrid GA-ANN and correlation approach to developing a laminar burning velocity prediction model for isooctane/blends-air mixtures
G Udaybhanu, VM Reddy - Fuel, 2024 - Elsevier
Surrogate fuels offer a cost-effective way to predict the combustion properties of
transportation fuels like diesel, gasoline, kerosene, etc. Iso-octane (2, 2, 4-trimethylpentane) …
transportation fuels like diesel, gasoline, kerosene, etc. Iso-octane (2, 2, 4-trimethylpentane) …
Energy and performance optimization of an adaptive cycle engine for next generation combat aircraft
For next generation aircraft, Adaptive Cycle Engine (ACE) is a candidate to fulfill the multi-
mission requirements of flight. This new concept is promising to complete deficiencies of …
mission requirements of flight. This new concept is promising to complete deficiencies of …