BUKU ABSTRAK - Universiti Putra Malaysia

Compression Testing Jig for Composite Buckling under Delamination at Sublaminate
Layer
Dr. Faizal Mustapha
Khairul Dahri Mohd. Aris
Faculty of Engineering, University Putra Malaysia,
43400 UPM Serdang, Selangor, Malaysia.
+603-8945 6401; faizal@eng.upm.edu.my
Keywords: Buckling, composite, compression, thin laminate structure
Spectral Discrimination and Index Development Toolbox (SDIDT)
Keywords: Hyperspectral, spectral signatures, index, toolbox
Dr. Helmi Zulhaidi Mohd. Shafri
M. Izzuddin Anuar
Institute of Advanced Technology, University Putra Malaysia,
43400 UPM Serdang, Selangor, Malaysia.
+603-8946 6459; hzms04@gmail.com
267
Science, Technology & Engineering
The main objective of this fixture is to test a flatwise long specimen subjected under compression in order
to look for buckling at the first ply failure. It is a simple structure that can be used with any type of Universal
testing machine (UTM) that has a compression plate. However the compression plate is advice to be bigger than
the fixture holding base in order to ensure that the load applied is transfer to the fixture. The base is made from
fibrelite, which is a low cost material compared to stainless steel but yet is having the significant strength to
withstand the compressive load applied. The gripper is made of solid Teflon with a groove to hold the specimen
into place. It is to ensure that the specimen is straight and inline on both sides. The float is made of stainless steel
in which acts as the stabiliser to ensure that the specimen does not move or slide. To ensure minimum friction is
introduced during the experiment, grease is applied on the inner shaft to ensure free movement is observed.
Currently, the issue of selecting optimal spectral bands and creating effective indices for specific application
using hyperspectral data is a very daunting task. This is due to the unavailability of user-friendly tool for statistical
analysis and index generation from the highly complex hyperspectral data. This motivates the development of
SDIDT in order to solve this problem. The development of the toolbox is based on extensive research into the best
statistical procedures and optimal spectral index for stress detection in vegetation. The toolbox facilitates easy
operation to identify optimal bands for index development and subsequently can be used to assist airborne-based
detection of any types of anomalies from hyperspectral imagery.