Turbofan Specific Fuel Consumption, Size, and Mass from Correlated Engine Parameters (doi:10.7910/DVN/UW6FAP)
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Document Description

Citation

Title:

Turbofan Specific Fuel Consumption, Size, and Mass from Correlated Engine Parameters

Identification Number:

doi:10.7910/DVN/UW6FAP

Distributor:

Harvard Dataverse

Date of Distribution:

2023-08-30

Version:

2

Bibliographic Citation:

Hammami, Mohamed Oussama, 2023, "Turbofan Specific Fuel Consumption, Size, and Mass from Correlated Engine Parameters", https://doi.org/10.7910/DVN/UW6FAP, Harvard Dataverse, V2

Study Description

Citation

Title:

Turbofan Specific Fuel Consumption, Size, and Mass from Correlated Engine Parameters

Alternative Title:

Links to all related documents:

Identification Number:

doi:10.7910/DVN/UW6FAP

Authoring Entity:

Hammami, Mohamed Oussama (Hamburg University of Applied Science)

Other identifications and acknowledgements:

Scholz, Dieter

Date of Production:

2021-09-15

Software used in Production:

Excel

Distributor:

Harvard Dataverse

Access Authority:

Scholz, Dieter

Depositor:

Scholz, Dieter

Date of Deposit:

2021-09-15

Series Name:

Digital Library - Projects and Theses - Prof. Dr. Scholz

Holdings Information:

https://doi.org/10.7910/DVN/UW6FAP

Study Scope

Keywords:

Engineering, aviation, Aeronautics, Airplanes--Fuel Consumption, Airplanes--Motors--Thrust, Aircraft Drafting--Design and Construction, Mathematical Models, Singular Value Decomposition, Regression Analysis, Electronic Spreadsheets, Luftfahrt

Topic Classification:

Aerospace

Abstract:

Purpose – Simple equations and more extended models are developed to determine characteristic engine parameters: Specific fuel consumption (SFC), engine mass, and engine size characterized by engine length and diameter. SFC (c) is considered a linear function of speed: c = c_a * V + c_b. --- Methodology – Data from 718 engines is collected from various open sources into an Excel spreadsheet. The characteristic engine parameters are plotted as function of bypass ratio (BPR), date of entry into service (EIS), take-off thrust, and typical cruise thrust. Engine length and diameter are plotted versus engine mass. Linear and nonlinear regression functions are investigated. Moreover, Singular Value Decomposition (SVD) is used to establish relations between parameters. SVD is used with Excel and MATLAB. The accuracy of all equations and models is compared. --- Findings – SFC should be calculated as a linear function of speed. This is especially important, when SFC is extrapolated to unconventional (low) cruise speeds for jet engines. The two parameters c_a and c_b are best estimated from a logarithmic or power function of bypass ratio (BPR). SFC and c_b clearly improved over the years. Engine mass, diameter, and length are proportional to take-off thrust. Characteristic engine parameters can also be obtained from SVD with comparable accuracy. However, SVD is more complicated to set up than using a simple equation. --- Practical implications – Engine characteristics need to be estimated based on only a few known parameters for aircraft preliminary sizing, conceptual design, and aircraft optimization as well as for practical quick calculations in flight mechanics. This thesis provides the tools. --- Social implications – Most engine characteristics like SFC are considered company secrets. The availability of open access engine data is the first step, but wisdom is retrieved only with careful analysis of the data as done here. Openly available aircraft engineering knowledge helps to democratize the discussion about the ecological footprint of aviation. --- Originality/value – Simple equation for jet engine SFC, mass, and size deduced from a large engine database are offered. This approach delivered equations as a function of BPR with an error of only 6%, which is the same accuracy as more complex equations from literature.

Kind of Data:

Data

Methodology and Processing

Sources Statement

Data Access

Notes:

This is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, License Version 3. The software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details: https://www.gnu.org/licenses/gpl-3.0.html

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Related Publications

Citation

Title:

Hammami, Mohamed Oussama, 2021. Turbofan Specific Fuel Consumption, Size, and Mass from Correlated Engine Parameters. Master Thesis. Hamburg University of Applied Sciences, Aircraft Design and Systems Group (AERO). Available from:

Bibliographic Citation:

Hammami, Mohamed Oussama, 2021. Turbofan Specific Fuel Consumption, Size, and Mass from Correlated Engine Parameters. Master Thesis. Hamburg University of Applied Sciences, Aircraft Design and Systems Group (AERO). Available from:

Other Study-Related Materials

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DataBase.xlsx

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application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

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Database_reduced_size.html

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text/html

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Database_reduced_size.xlsx

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Excel seems to blow file size when converting to HTML. This smaller file was produced as a starting point to save to HTML.

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application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

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Added by Dieter Scholz on 2024-11-29: Improved calculation of V_e from rho_e=m_e/V_e and l_e from l_e/D_e. Included in DLRK2024-Poster.

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application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

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application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

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SFC_Model_Linear_Regression.xlsx

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application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

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application/vnd.ms-excel.sheet.macroenabled.12

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