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...

Full description

Bibliographic Details
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/ http://irep.iium.edu.my/1494/1/ICME_2009-FM18.pdf

id	iium-1494
recordtype	eprints
spelling	iium-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 PeerReviewed 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.
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
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/ http://irep.iium.edu.my/1494/1/ICME_2009-FM18.pdf
first_indexed	2023-09-18T20:08:52Z
last_indexed	2023-09-18T20:08:52Z
_version_	1777407342655045632

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

Similar Items