Application of Statistical Design of Experiment (SDE) to study wrinkles and delamination defects on composite sandwich panels

The sandwich panels made of composite materials are subject to a variety of process parameters. In this paper an experimental investigation of composite manufacturing significant issues; such as wrinkles and delamination on laminate and sandwich panels, will be carried out using Statistical Desig...

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Main Authors: Muhammad Iqbal, Muhammad Hussain, Dr., Zuraidah, Mohd Zain, Prof. Dr., Mohd Shuid, Salleh, Chang, Lawrence
Other Authors: miqbal@unimap.edu.my
Format: Article
Language:English
Published: 2012
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Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/17688
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spelling my.unimap-176882012-02-13T03:08:03Z Application of Statistical Design of Experiment (SDE) to study wrinkles and delamination defects on composite sandwich panels Muhammad Iqbal, Muhammad Hussain, Dr. Zuraidah, Mohd Zain, Prof. Dr. Mohd Shuid, Salleh Chang, Lawrence miqbal@unimap.edu.my zuraidah@unimap.edu.my Statistical design of experiments Composite materials manufacturing Process optimization The sandwich panels made of composite materials are subject to a variety of process parameters. In this paper an experimental investigation of composite manufacturing significant issues; such as wrinkles and delamination on laminate and sandwich panels, will be carried out using Statistical Design of Experiment (SDE). The aim is to study the effects of delamination and wrinkling behaviour by optimizing temperature, pressure, soaking time, heat up and cool down rates and geometrical dimensions of honeycomb chamfer and using round off top surface honeycomb core vs. square. Whereby the process variables are to be set so as to get the smallest number of wrinkles and delaminate as possible. In this study it is proposed that Statistical Design of Experiments (SDE) is, in actual fact, a very useful technique for investigation of shop floor problem and setting of the process parameters with reduced variability. Instead of running many combinations of parameters in real life, SDE enables only a few combinations to be run before optimum process set-up can be determined. As a result, the time taken to determine optimum process set-up is greatly reduced. This also allows experimenters to get much more and much better data per experimental run. 2012-02-13T03:08:03Z 2012-02-13T03:08:03Z 2007 Article http://hdl.handle.net/123456789/17688 en
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Statistical design of experiments
Composite materials manufacturing
Process optimization
spellingShingle Statistical design of experiments
Composite materials manufacturing
Process optimization
Muhammad Iqbal, Muhammad Hussain, Dr.
Zuraidah, Mohd Zain, Prof. Dr.
Mohd Shuid, Salleh
Chang, Lawrence
Application of Statistical Design of Experiment (SDE) to study wrinkles and delamination defects on composite sandwich panels
description The sandwich panels made of composite materials are subject to a variety of process parameters. In this paper an experimental investigation of composite manufacturing significant issues; such as wrinkles and delamination on laminate and sandwich panels, will be carried out using Statistical Design of Experiment (SDE). The aim is to study the effects of delamination and wrinkling behaviour by optimizing temperature, pressure, soaking time, heat up and cool down rates and geometrical dimensions of honeycomb chamfer and using round off top surface honeycomb core vs. square. Whereby the process variables are to be set so as to get the smallest number of wrinkles and delaminate as possible. In this study it is proposed that Statistical Design of Experiments (SDE) is, in actual fact, a very useful technique for investigation of shop floor problem and setting of the process parameters with reduced variability. Instead of running many combinations of parameters in real life, SDE enables only a few combinations to be run before optimum process set-up can be determined. As a result, the time taken to determine optimum process set-up is greatly reduced. This also allows experimenters to get much more and much better data per experimental run.
author2 miqbal@unimap.edu.my
author_facet miqbal@unimap.edu.my
Muhammad Iqbal, Muhammad Hussain, Dr.
Zuraidah, Mohd Zain, Prof. Dr.
Mohd Shuid, Salleh
Chang, Lawrence
format Article
author Muhammad Iqbal, Muhammad Hussain, Dr.
Zuraidah, Mohd Zain, Prof. Dr.
Mohd Shuid, Salleh
Chang, Lawrence
author_sort Muhammad Iqbal, Muhammad Hussain, Dr.
title Application of Statistical Design of Experiment (SDE) to study wrinkles and delamination defects on composite sandwich panels
title_short Application of Statistical Design of Experiment (SDE) to study wrinkles and delamination defects on composite sandwich panels
title_full Application of Statistical Design of Experiment (SDE) to study wrinkles and delamination defects on composite sandwich panels
title_fullStr Application of Statistical Design of Experiment (SDE) to study wrinkles and delamination defects on composite sandwich panels
title_full_unstemmed Application of Statistical Design of Experiment (SDE) to study wrinkles and delamination defects on composite sandwich panels
title_sort application of statistical design of experiment (sde) to study wrinkles and delamination defects on composite sandwich panels
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/17688
_version_ 1643792242382471168
score 13.209306