Performance analysis and dynamic modeling of a single-spool turbojet engine

Andrei, Irina-Carmen; Toader, Adrian; Stroe, Gabriela; Frunzulică, Florin

doi:10.1063/1.4972597

Cited by 7 publications

(4 citation statements)

References 3 publications

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“…The authors suggested a strategy for correcting takeoff snapshots to steady-state operational conditions based on the simulation results. A dynamic model has been created for the J-85 turbojet engine as the test case in the work of Andrei [20]. The design and off-design performances have been estimated for a single spool turbojet.…”

Section: Literature Reviewmentioning

confidence: 99%

An Investigation of Exhaust Gas Temperature of Aircraft Engine Using LSTM

Ullah¹,

Li²,

Khan

et al. 2023

IEEE Access

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A significant obstacle to creating efficient machine health monitoring systems is estimating performance degradation in dynamic systems, like aero plane engines. In exceedingly complex systems with many components, states, and parameters, conventional model-based and data-driven methods fall short of producing satisfactory results. While traditional methods had several drawbacks, deep learning has emerged as a viable computational tool for dynamic system prediction. In order to track system deterioration and estimate the EGT, a novel technique based on the Long Short-Term Memory (LSTM) network, (an architecture created to find the hidden patterns hidden in time series data) is provided in this research. The health monitoring information of aircraft turbofan engines is used to assess the effectiveness of the proposed strategy. As a result of this network's ability to recognize the input data as a real-time series, the output in the following step can be predicted. Results of the suggested study show a significant ability to anticipate the output in the following time step. Additionally, the proposed model has a shorter learning curve and is more accurate.

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Section: Literature Reviewmentioning

confidence: 99%

An Investigation of Exhaust Gas Temperature of Aircraft Engine Using LSTM

Ullah¹,

Li²,

Khan

et al. 2023

IEEE Access

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“…Performance Analysis of Turbojet Engine, also referred as Thermodynamic Analysis supposes the completion of three phases; thorough details are given in literature, Mattingly [1], as well as authors other researches, Andrei [8][9][10][11][12][13][14][15][17][18], Rotaru [21][22][23] and Prisacariu [16].…”

Section: Problem Statement and Frameworkmentioning

confidence: 99%

Numerical Investigation of Turbojet Engine Thrust Correlated With the Combustion Chamber's Parameters

Andrei¹,

Rotaru²,

Fadgyas³

et al. 2017

AFASES 2017

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“…Performance Analysis of Mixed Flows Turbofan Engine, supposes the completion of three phases; thorough details are given in literature, Mattingly [1], as well as authors other researches, Andrei [8][9][10][11][12][13][14][15][17][18], Rotaru [21][22][23] and Prisacariu [16].…”

Section: Problem Statement and Frameworkmentioning

confidence: 99%

“…The performances of the mixed flows turbofan can be calculated from relations (1) ÷ (9) presented below; the thrust of a mixed flows turbofan is expressed by the variation (1) of flow and velocity between the inlet and exit sections of the engine; the specific thrust is defined by relation (2), while the definition of specific fuel consumption is one of the equations (5)(6)(7)9). The order at calculating the performances of the mixed flows turbofan is that first is determined the specific thrust F sp [Ns/kg], then the thrust F [N] and fuel specific consumption C sp [kg/Nh].…”

Section: Mathematical Supportmentioning

confidence: 99%