Inspection - Hole shape optimization of a lower wing panel based on geomatric boundary shapes / Wahyu Kuntjoro and Zon S. Hernedhi

Kuntjoro, Wahyu and Hernedhi, Zon S. (2004) Inspection - Hole shape optimization of a lower wing panel based on geomatric boundary shapes / Wahyu Kuntjoro and Zon S. Hernedhi. Journal of Faculty of Mechanical Enginering, 1 (1). pp. 39-50. ISSN 1823-5514

[img]
Preview
Text
AJ_WAHYU KUNTJORO JOME 05.pdf

Download (242kB) | Preview

Abstract

Most structural design optimization jobs deal with finding the optimum size of structural components. Non-linear mathematical programming techniques are normally used to optimize this sort of problems. Some problems need not only optimum component size but also optimum shapes. Change of shape can be dictated by shape basis vectors, which define grid coordinate changes. As change of shape relates directly to change of geometry, the rules of geometric variation need to be set up which in this case is the variation of geometric boundary shapes. Change of boundary shape will alter the overall shape of the continuum. With the rule of geometric shape change been set-up, the optimization is carried out employing non-linear mathematical programming optimization. This paper presents an optimization of an inspection holes of IPTN CN-235 lower wing panel. It is required to have an optimum shape of the inspection hole and the dimensions of surrounding components. The wing itself was loaded by its critical design cases. Shape basis vectors were defined through geometric boundary shapes. Optimization was performed using MSC NASTRAN optimization design software.

Item Type: Article
Uncontrolled Keywords: Shape optimization, wing structure, inspection hole
Subjects: Q Science > QA Mathematics > Instruments and machines
Divisions: Faculty of Mechanical Engineering
Depositing User: Staf Pendigitan 1
Date Deposited: 10 Mar 2015 02:06
Last Modified: 22 Jul 2016 08:08
URI: http://ir.uitm.edu.my/id/eprint/11396

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year