PREDICTION OF NOx AND FUEL FLOW OF COMMERCIAL HIGH BYPASS AIRCRAFT ENGINES BASED ON CSA-SVR MODEL

Rıdvan Oruç

doi:10.18038/estubtda.1471531

EN

PREDICTION OF NOx AND FUEL FLOW OF COMMERCIAL HIGH BYPASS AIRCRAFT ENGINES BASED ON CSA-SVR MODEL

Abstract

Due to the negative effects of emissions caused by fossil fuels used by aircraft engines on the environment and human health, and the fact that fuel consumption is a high cost input for airlines, the aviation community has many studies on both issues. In order to overcome these problems, much space has been devoted to modeling, prediction and optimization studies on emissions and fuel consumption in the literature. Within the scope of this study, a model was created to predict the NOx emission values and fuel flow of high by-pass turbofan engines, which are also used in today's commercial air transportation. 165 different turbofan data taken from the International Civil Aviation Organization (ICAO) emission databank were used for modeling, and the specified parameters were modeled according to the by-pass ratio (BPR), overall pressure ratio (OPR) and rated thrust input parameters. In this context, the Cuckoo search algorithm-support vector regression (CSA-SVR) method for the Landing and Take-off (LTO) cycle, which includes the idle, take-off (T/O), climb out (C/O) and approach (App) phases, was used for the first time in the literature for the above-mentioned purpose. As a result of the error analysis methods, the minimum R2 value for 4 phases in FF estimation was found to be 0.972763. This value for NOX was 0.6745 in the idle phase. However, the fact that this value was found to be 0.861497, 0.884984 and 0.792779 for T/O, C/O and App, respectively, shows the success of the model in estimating actual data.

Keywords

Cuckoo search algorithm, Support vector regression, Aircraft emission modelling, Aircraft fuel modelling

References

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Details

Primary Language

English

Subjects

Air-Space Transportation, Aerospace Structures, Aircraft Performance and Flight Control Systems

Journal Section

Research Article

Authors

Rıdvan Oruç ^*
0000-0002-9856-2989
Türkiye

Publication Date

December 27, 2024

Submission Date

April 21, 2024

Acceptance Date

October 28, 2024

Published in Issue

Year 2024 Volume: 25 Number: 4

DOI

https://doi.org/10.18038/estubtda.1471531

IZ

https://izlik.org/JA54PH73DN

APA

Oruç, R. (2024). PREDICTION OF NOx AND FUEL FLOW OF COMMERCIAL HIGH BYPASS AIRCRAFT ENGINES BASED ON CSA-SVR MODEL. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering, 25(4), 542-556. https://doi.org/10.18038/estubtda.1471531

AMA

1.Oruç R. PREDICTION OF NOx AND FUEL FLOW OF COMMERCIAL HIGH BYPASS AIRCRAFT ENGINES BASED ON CSA-SVR MODEL. Estuscience - Se. 2024;25(4):542-556. doi:10.18038/estubtda.1471531

Chicago

Oruç, Rıdvan. 2024. “PREDICTION OF NOx AND FUEL FLOW OF COMMERCIAL HIGH BYPASS AIRCRAFT ENGINES BASED ON CSA-SVR MODEL”. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 25 (4): 542-56. https://doi.org/10.18038/estubtda.1471531.

EndNote

Oruç R (December 1, 2024) PREDICTION OF NOx AND FUEL FLOW OF COMMERCIAL HIGH BYPASS AIRCRAFT ENGINES BASED ON CSA-SVR MODEL. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 25 4 542–556.

IEEE

[1]R. Oruç, “PREDICTION OF NOx AND FUEL FLOW OF COMMERCIAL HIGH BYPASS AIRCRAFT ENGINES BASED ON CSA-SVR MODEL”, Estuscience - Se, vol. 25, no. 4, pp. 542–556, Dec. 2024, doi: 10.18038/estubtda.1471531.

ISNAD

Oruç, Rıdvan. “PREDICTION OF NOx AND FUEL FLOW OF COMMERCIAL HIGH BYPASS AIRCRAFT ENGINES BASED ON CSA-SVR MODEL”. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 25/4 (December 1, 2024): 542-556. https://doi.org/10.18038/estubtda.1471531.

JAMA

1.Oruç R. PREDICTION OF NOx AND FUEL FLOW OF COMMERCIAL HIGH BYPASS AIRCRAFT ENGINES BASED ON CSA-SVR MODEL. Estuscience - Se. 2024;25:542–556.

MLA

Oruç, Rıdvan. “PREDICTION OF NOx AND FUEL FLOW OF COMMERCIAL HIGH BYPASS AIRCRAFT ENGINES BASED ON CSA-SVR MODEL”. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering, vol. 25, no. 4, Dec. 2024, pp. 542-56, doi:10.18038/estubtda.1471531.

Vancouver

1.Rıdvan Oruç. PREDICTION OF NOx AND FUEL FLOW OF COMMERCIAL HIGH BYPASS AIRCRAFT ENGINES BASED ON CSA-SVR MODEL. Estuscience - Se. 2024 Dec. 1;25(4):542-56. doi:10.18038/estubtda.1471531

Abstract

PREDICTION OF NOx AND FUEL FLOW OF COMMERCIAL HIGH BYPASS AIRCRAFT ENGINES BASED ON CSA-SVR MODEL

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

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