Prediction of aerodynamic characteristics of an aircraft model with and without winglet using fuzzy logic technique

Prediction of aerodynamic characteristics of an aircraft model with and without winglet using fuzzy logic technique

This paper describes the potentials of an aircraft model without and with winglet attached with NACA wing No. 65-3-218. Based on the longitudinal aerodynamic characteristics analyzing for the aircraft model tested in low subsonic wind tunnel, the lift coefficient (CL ) and drag coefficient (CD) were...

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Main Authors: Hossain, Altab, Rahman, Mohammed Ataur, Hossen, Jakir, Iqbal, Parvez, M.I., Zahirul
Format: Article
Language:English
Published: Elsevier 2011
Subjects:
TL500 Aeronautics
Online Access:http://irep.iium.edu.my/7597/
http://irep.iium.edu.my/7597/
http://irep.iium.edu.my/7597/
http://irep.iium.edu.my/7597/1/Journal_of_Aerospace_Science_and_Technology_%28ISI%29_Listed_%5B15%282011%29%5D.pdf
id iium-7597
recordtype eprints
spelling iium-75972012-07-17T02:00:29Z http://irep.iium.edu.my/7597/ Prediction of aerodynamic characteristics of an aircraft model with and without winglet using fuzzy logic technique Hossain, Altab Rahman, Mohammed Ataur Hossen, Jakir Iqbal, Parvez M.I., Zahirul TL500 Aeronautics This paper describes the potentials of an aircraft model without and with winglet attached with NACA wing No. 65-3-218. Based on the longitudinal aerodynamic characteristics analyzing for the aircraft model tested in low subsonic wind tunnel, the lift coefficient (CL ) and drag coefficient (CD) were investigated respectively. Wind tunnel test results were obtained for CL and CD versus the angle of attack α for three Reynolds numbers Re (1.7 × 105, 2.1 × 105, and 2.5 × 105) and three configurations (configuration 1:without winglet, configuration 2: winglet at 0◦ and configuration 3: winglet at 60◦). Compared with conventional technique, fuzzy logic technique is more efficient for the representation, manipulation and utilization. Therefore, the primary purpose of this work was to investigate the relationship between lift coefficients and drag coefficients with free-stream velocities and angle of attacks, and to illustrate how fuzzy expert system (FES) might play an important role in prediction of aerodynamic characteristics of an aircraft model with the addition of winglet. In this paper, an FES model was developed to predict the lift and drag coefficients of the aircraft model with winglet at 60◦. The mean relative error of measured and predicted values (from FES model) were 6.52% for lift coefficient and 4.74% for drag coefficient. For all parameters, the relative error of predicted values was found to be less than the acceptable limits (10%). The goodness of fit of prediction (from FES model) values were found as 0.94 for lift coefficient and 0.98 for drag coefficient which were close to 1.0 as expected. Elsevier 2011 Article PeerReviewed application/pdf en http://irep.iium.edu.my/7597/1/Journal_of_Aerospace_Science_and_Technology_%28ISI%29_Listed_%5B15%282011%29%5D.pdf Hossain, Altab and Rahman, Mohammed Ataur and Hossen, Jakir and Iqbal, Parvez and M.I., Zahirul (2011) Prediction of aerodynamic characteristics of an aircraft model with and without winglet using fuzzy logic technique. Aerospace Science and Technology, 15 (8). pp. 595-605. ISSN 1270-9638 http://www.sciencedirect.com/science/article/pii/S1270963810001586 doi:10.1016/j.ast.2010.12.003
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TL500 Aeronautics
spellingShingle TL500 Aeronautics
Hossain, Altab
Rahman, Mohammed Ataur
Hossen, Jakir
Iqbal, Parvez
M.I., Zahirul
Prediction of aerodynamic characteristics of an aircraft model with and without winglet using fuzzy logic technique
description This paper describes the potentials of an aircraft model without and with winglet attached with NACA wing No. 65-3-218. Based on the longitudinal aerodynamic characteristics analyzing for the aircraft model tested in low subsonic wind tunnel, the lift coefficient (CL ) and drag coefficient (CD) were investigated respectively. Wind tunnel test results were obtained for CL and CD versus the angle of attack α for three Reynolds numbers Re (1.7 × 105, 2.1 × 105, and 2.5 × 105) and three configurations (configuration 1:without winglet, configuration 2: winglet at 0◦ and configuration 3: winglet at 60◦). Compared with conventional technique, fuzzy logic technique is more efficient for the representation, manipulation and utilization. Therefore, the primary purpose of this work was to investigate the relationship between lift coefficients and drag coefficients with free-stream velocities and angle of attacks, and to illustrate how fuzzy expert system (FES) might play an important role in prediction of aerodynamic characteristics of an aircraft model with the addition of winglet. In this paper, an FES model was developed to predict the lift and drag coefficients of the aircraft model with winglet at 60◦. The mean relative error of measured and predicted values (from FES model) were 6.52% for lift coefficient and 4.74% for drag coefficient. For all parameters, the relative error of predicted values was found to be less than the acceptable limits (10%). The goodness of fit of prediction (from FES model) values were found as 0.94 for lift coefficient and 0.98 for drag coefficient which were close to 1.0 as expected.
format Article
author Hossain, Altab
Rahman, Mohammed Ataur
Hossen, Jakir
Iqbal, Parvez
M.I., Zahirul
author_facet Hossain, Altab
Rahman, Mohammed Ataur
Hossen, Jakir
Iqbal, Parvez
M.I., Zahirul
author_sort Hossain, Altab
title Prediction of aerodynamic characteristics of an aircraft model with and without winglet using fuzzy logic technique
title_short Prediction of aerodynamic characteristics of an aircraft model with and without winglet using fuzzy logic technique
title_full Prediction of aerodynamic characteristics of an aircraft model with and without winglet using fuzzy logic technique
title_fullStr Prediction of aerodynamic characteristics of an aircraft model with and without winglet using fuzzy logic technique
title_full_unstemmed Prediction of aerodynamic characteristics of an aircraft model with and without winglet using fuzzy logic technique
title_sort prediction of aerodynamic characteristics of an aircraft model with and without winglet using fuzzy logic technique
publisher Elsevier
publishDate 2011
url http://irep.iium.edu.my/7597/
http://irep.iium.edu.my/7597/
http://irep.iium.edu.my/7597/
http://irep.iium.edu.my/7597/1/Journal_of_Aerospace_Science_and_Technology_%28ISI%29_Listed_%5B15%282011%29%5D.pdf
first_indexed 2023-09-18T20:17:04Z
last_indexed 2023-09-18T20:17:04Z
_version_ 1777407858567020544

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