Thermodynamic Analysis of an Aircraft Engine to estimate performance and emissions at LTO cycle

Adolfo, Dominique; Bertini, Davide; Gamannossi, Andrea; Carcasci, Carlo

doi:10.1016/j.egypro.2017.08.162

Cited by 14 publications

(4 citation statements)

References 5 publications

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“…An option which has to be evaluated in order to reduce the engine jet noise level in airports is the aircraft angle of descent. In this work is considered an aircraft landing which model uses the following reference values [16] for: The landing duration is 140 s. The throttle setting δ x is constant during the landing. Graphics and numerical results are obtained from the proposed model.…”

Section: Resultsmentioning

confidence: 99%

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Modeling of aircraft jet noise in airports

Georgieva

Georgiev

2018

MATEC Web Conf.

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A mathematical model with 4 degree of freedom created in Matlab for aircraft final landing trajectory is described in this paper. A midsize commercial passenger aircraft similar to an Airbus A320 has been chosen as a reference aircraft. The parameters of model are obtained from Airbus, Eurocontrol and the approach procedure at the Munich airport is selected up from Jeppesen Airway manual. A semi-empirical model of Stone for predicting the jet noise has been used. The proposed model was validated against 10 real flights obtained from Aircraft noise monitoring at Munich airport. The computed error between the real data and modelling is reported on. Obtained results are presented numerical and graphically. The observed effects of aircraft speed, aircraft angle of descent and aircraft weight for reduction of aircraft jet noise in airports represent subjects of discussions in the paper.

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Section: Resultsmentioning

confidence: 99%

“…To calculate the parameters of ambient condition it has been used the International Standard Atmosphere (ISA) [15]. The required specific design parameter of the engine for primary and secondary flow a turbofan calculator is used [16,17].…”

Section: For Modelling Of Jet Engine Jet Noisementioning

confidence: 99%

Modeling of aircraft jet noise in airports

Georgieva

Georgiev

2018

MATEC Web Conf.

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“…Also the aeronautical industry is subject to the implications of the problem. Indeed, typical conventional thermal engines exploit the combustion process to obtain the chemical energy possessed by the fuels and this inevitably leads to emissions, contributing to global pollution [4] [5]. Nowadays technology points to the development of hybrid engines, which are constituted by both thermal and electric motors, to use both chemical and electric energy respectively as a source to produce thrust.…”

Section: Introductionmentioning

confidence: 99%

Feed-Forward Neural Network for health monitoring of a parallel hybrid electric power system

Giorgi

Donateo

Ficarella

et al. 2022

J. Phys.: Conf. Ser.

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Hybrid engines are becoming more and more widespread. Electric energy instead is a valid help to reduce the environmental impact. In hybrid engines, the number of components is higher and this results in a decrease in reliability. With Engine Health Monitoring (EHM) we mean the set of techniques used to monitor the health status of a system based on the values assumed by some related parameters. Artificial Intelligence (AI) methods are widely used nowadays in this discipline. In this paper, an EHM approach was developed to monitor the health status of some components constituting an hybrid turboshaft. The dynamic model of the hybrid electric power system is described in an accompanying paper. Feed-Forward Neural Network (FFNN) is used as AI tool to built the just cited system. The engine modelled with Simulink, was used to perform a series of steady-state simulations implementing a degradation condition in some selected components. The degradation condition was simulated by changing the value of the Performance Parameters (PPs) related to each of the selected components. The results of the simulation were used to obtain a dataset useful to train the FFNN to predict the values of the same PPs in a degraded case.

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“…Adolfo et al [29] infer in thermodynamic analysis that an aircraft engine is used to assess the performance of the turbofan engine in GE90 -94 B. They found that the emissivity of nitrogen oxides (NOx) was 30831 g and fuel consumption of 1124 kg.…”

Section: Introductionmentioning

confidence: 99%