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Fuzzy logic approach for prediction the lift coefficient on an aircraft model with and without winglet

This paper describes the unique structure of an aircraft model with and without winglet tested at Aerodynamics Laboratory, Faculty of Engineering (University Putra Malaysia) using subsonic wind tunnel of 1000 mm × 1000 mm rectangular test section and 2500 mm long. Focusing on predicting the aerodyna...

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Main Authors: Hossain, Altab, Rahman, Mohammed Ataur, Mohiuddin, A. K. M., Iqbal, Parvez, Muhidin, Arifin, Mohamad, Mazian
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
T Technology (General)
TJ Mechanical engineering and machinery
Online Access:http://irep.iium.edu.my/1494/1/ICME_2009-FM18.pdf
http://irep.iium.edu.my/1494/
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spelling my.iium.irep.14942011-09-06T06:05:19Z http://irep.iium.edu.my/1494/ Fuzzy logic approach for prediction the lift coefficient on an aircraft model with and without winglet Hossain, Altab Rahman, Mohammed Ataur Mohiuddin, A. K. M. Iqbal, Parvez Muhidin, Arifin Mohamad, Mazian T Technology (General) TJ Mechanical engineering and machinery This paper describes the unique structure of an aircraft model with and without winglet tested at Aerodynamics Laboratory, Faculty of Engineering (University Putra Malaysia) using subsonic wind tunnel of 1000 mm × 1000 mm rectangular test section and 2500 mm long. Focusing on predicting the aerodynamic characteristics of the aircraft model, three main issues are studied in this paper. First, a six component wind tunnel external balance is used for measuring lift, drag and pitching moment. Secondly, Tests are conducted on the aircraft model with and without winglet. And thirdly, Artificial intelligence system such as fuzzy logic approach is used to predict the lift coefficient performance. Therefore, the primary purpose of this work was to investigate the relationship between lift coefficients, with free-stream velocities and angle of attacks, and to illustrate how fuzzy system might play an important role in prediction of lift coefficient with the addition of certain winglet configurations. 2009-12 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/1494/1/ICME_2009-FM18.pdf Hossain, Altab and Rahman, Mohammed Ataur and Mohiuddin, A. K. M. and Iqbal, Parvez and Muhidin, Arifin and Mohamad, Mazian (2009) Fuzzy logic approach for prediction the lift coefficient on an aircraft model with and without winglet. In: International Conference on Mechanical Engineering 2009 (ICME2009), 26-28 December, 2009, Dhaka, Bangladesh.
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic T Technology (General)
TJ Mechanical engineering and machinery
spellingShingle T Technology (General)
TJ Mechanical engineering and machinery
Hossain, Altab
Rahman, Mohammed Ataur
Mohiuddin, A. K. M.
Iqbal, Parvez
Muhidin, Arifin
Mohamad, Mazian
Fuzzy logic approach for prediction the lift coefficient on an aircraft model with and without winglet
description This paper describes the unique structure of an aircraft model with and without winglet tested at Aerodynamics Laboratory, Faculty of Engineering (University Putra Malaysia) using subsonic wind tunnel of 1000 mm × 1000 mm rectangular test section and 2500 mm long. Focusing on predicting the aerodynamic characteristics of the aircraft model, three main issues are studied in this paper. First, a six component wind tunnel external balance is used for measuring lift, drag and pitching moment. Secondly, Tests are conducted on the aircraft model with and without winglet. And thirdly, Artificial intelligence system such as fuzzy logic approach is used to predict the lift coefficient performance. Therefore, the primary purpose of this work was to investigate the relationship between lift coefficients, with free-stream velocities and angle of attacks, and to illustrate how fuzzy system might play an important role in prediction of lift coefficient with the addition of certain winglet configurations.
format Conference or Workshop Item
author Hossain, Altab
Rahman, Mohammed Ataur
Mohiuddin, A. K. M.
Iqbal, Parvez
Muhidin, Arifin
Mohamad, Mazian
author_facet Hossain, Altab
Rahman, Mohammed Ataur
Mohiuddin, A. K. M.
Iqbal, Parvez
Muhidin, Arifin
Mohamad, Mazian
author_sort Hossain, Altab
title Fuzzy logic approach for prediction the lift coefficient on an aircraft model with and without winglet
title_short Fuzzy logic approach for prediction the lift coefficient on an aircraft model with and without winglet
title_full Fuzzy logic approach for prediction the lift coefficient on an aircraft model with and without winglet
title_fullStr Fuzzy logic approach for prediction the lift coefficient on an aircraft model with and without winglet
title_full_unstemmed Fuzzy logic approach for prediction the lift coefficient on an aircraft model with and without winglet
title_sort fuzzy logic approach for prediction the lift coefficient on an aircraft model with and without winglet
publishDate 2009
url http://irep.iium.edu.my/1494/1/ICME_2009-FM18.pdf
http://irep.iium.edu.my/1494/
_version_ 1643604801692368896
score 13.211869

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