Alternate approximate function for kernel function of oscillating lifting surfaces
Prediction of unsteady aerodynamic loads is still the most challenging task in flutter aeroelastic analysis. Generally the numerical estimation of steady and unsteady aerodynamic of thin lifting surface is conducted based on an integral equation relating aerodynamic pressure and normal wash velocity...
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iium-344562014-01-20T03:25:52Z http://irep.iium.edu.my/34456/ Alternate approximate function for kernel function of oscillating lifting surfaces Sulaeman, Erwin Layeeq, Ahmed TL500 Aeronautics Prediction of unsteady aerodynamic loads is still the most challenging task in flutter aeroelastic analysis. Generally the numerical estimation of steady and unsteady aerodynamic of thin lifting surface is conducted based on an integral equation relating aerodynamic pressure and normal wash velocity. The present work attempts to increase the accuracy of the prediction by using an approximate approach to evaluate kernel function occurring in the integral equation. Following previous approximation approach to solve the cylindrical function for planar lifting surface, in the present work such approach is extended to non planar lifting surfaces. To increase the accuracy of the method, the integration region of the kernel function is divided into two parts namely near and far regions, where a nonlinear regression curve fitting technique is adapted to approximate the denominator part of the cylindrical function of each region. 2013-07 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/34456/1/Paper_30176_-_Camera_ready.pdf application/pdf en http://irep.iium.edu.my/34456/4/programbookicmaae13.pdf Sulaeman, Erwin and Layeeq, Ahmed (2013) Alternate approximate function for kernel function of oscillating lifting surfaces. In: International Conference on Mechanical, Automotive and Aerospace Engineering 2013, 2 - 4 July 2013, Berjaya Time Square Hotel, Kuala Lumpur. (Unpublished) |
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TL500 Aeronautics |
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TL500 Aeronautics Sulaeman, Erwin Layeeq, Ahmed Alternate approximate function for kernel function of oscillating lifting surfaces |
description |
Prediction of unsteady aerodynamic loads is still the most challenging task in flutter aeroelastic analysis. Generally the numerical estimation of steady and unsteady aerodynamic of thin lifting surface is conducted based on an integral equation relating aerodynamic pressure and normal wash velocity. The present work attempts to increase the accuracy of the prediction by using an approximate approach to evaluate kernel function occurring in the integral equation. Following previous approximation approach to solve the cylindrical function for planar lifting surface, in the present work such approach is extended to non planar lifting surfaces. To increase the accuracy of the method, the integration region of the kernel function is divided into two parts namely near and far regions, where a nonlinear regression curve fitting technique is adapted to approximate the denominator part of the cylindrical function of each region. |
format |
Conference or Workshop Item |
author |
Sulaeman, Erwin Layeeq, Ahmed |
author_facet |
Sulaeman, Erwin Layeeq, Ahmed |
author_sort |
Sulaeman, Erwin |
title |
Alternate approximate function for kernel function of oscillating lifting surfaces |
title_short |
Alternate approximate function for kernel function of oscillating lifting surfaces |
title_full |
Alternate approximate function for kernel function of oscillating lifting surfaces |
title_fullStr |
Alternate approximate function for kernel function of oscillating lifting surfaces |
title_full_unstemmed |
Alternate approximate function for kernel function of oscillating lifting surfaces |
title_sort |
alternate approximate function for kernel function of oscillating lifting surfaces |
publishDate |
2013 |
url |
http://irep.iium.edu.my/34456/ http://irep.iium.edu.my/34456/1/Paper_30176_-_Camera_ready.pdf http://irep.iium.edu.my/34456/4/programbookicmaae13.pdf |
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2023-09-18T20:49:39Z |
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2023-09-18T20:49:39Z |
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1777409908820410368 |