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Simple algorithm for estimating the effects of reinforcement loadings and arrangements on composite properties

Organized by School of Materials Engineering & Sustainable Engineering Research Cluster, 1st - 2nd December 2009 at Putra Brasmana Hotel, Kuala Perlis, Perlis.

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Bibliographic Details
Main Authors: Wan Ibrahim, W. M. A, Yeoh, C. K., Teh, P.L., Khairel Rafezi, Ahmad, Ruhiyuddin , Mohd Zaki
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis 2010
Subjects:
Monte Carlo Simulation
Composites
Particulate reinforcement
Composite materials
Monte Carlo method
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7546
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spelling my.unimap-75462016-06-17T09:44:50Z Simple algorithm for estimating the effects of reinforcement loadings and arrangements on composite properties Wan Ibrahim, W. M. A Yeoh, C. K. Teh, P.L. Khairel Rafezi, Ahmad Ruhiyuddin , Mohd Zaki Monte Carlo Simulation Composites Particulate reinforcement Composite materials Monte Carlo method Organized by School of Materials Engineering & Sustainable Engineering Research Cluster, 1st - 2nd December 2009 at Putra Brasmana Hotel, Kuala Perlis, Perlis. Monte Carlo simulations offer a simple way of visualizing the arrangements of particles in a system. Reinforcement particulates are modeled as circles in a random array of finite sites within a specified finite 2-dimensional square. These random sites are checked and are reassigned to ensure no overlapping occurs between adjacent particles. An approach is proposed where only the top and bottom sides of the square are checked for percolation. For this study, a percolation threshold is obtained when at least one chain connects the top and bottom sides of the square. This is useful for conditions when mainly directional properties are of concern, for example, in cooling electronic devices or when electrical non-conductivity in one direction is important. Results show higher percolation thresholds for smaller particles. 2010-01-21T07:34:54Z 2010-01-21T07:34:54Z 2009-12-01 Working Paper p.1-4 http://hdl.handle.net/123456789/7546 en Proceedings of the Malaysian Metallurgical Conference '09 (MMC'09) Universiti Malaysia Perlis
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 Monte Carlo Simulation
Composites
Particulate reinforcement
Composite materials
Monte Carlo method
spellingShingle Monte Carlo Simulation
Composites
Particulate reinforcement
Composite materials
Monte Carlo method
Wan Ibrahim, W. M. A
Yeoh, C. K.
Teh, P.L.
Khairel Rafezi, Ahmad
Ruhiyuddin , Mohd Zaki
Simple algorithm for estimating the effects of reinforcement loadings and arrangements on composite properties
description Organized by School of Materials Engineering & Sustainable Engineering Research Cluster, 1st - 2nd December 2009 at Putra Brasmana Hotel, Kuala Perlis, Perlis.
format Working Paper
author Wan Ibrahim, W. M. A
Yeoh, C. K.
Teh, P.L.
Khairel Rafezi, Ahmad
Ruhiyuddin , Mohd Zaki
author_facet Wan Ibrahim, W. M. A
Yeoh, C. K.
Teh, P.L.
Khairel Rafezi, Ahmad
Ruhiyuddin , Mohd Zaki
author_sort Wan Ibrahim, W. M. A
title Simple algorithm for estimating the effects of reinforcement loadings and arrangements on composite properties
title_short Simple algorithm for estimating the effects of reinforcement loadings and arrangements on composite properties
title_full Simple algorithm for estimating the effects of reinforcement loadings and arrangements on composite properties
title_fullStr Simple algorithm for estimating the effects of reinforcement loadings and arrangements on composite properties
title_full_unstemmed Simple algorithm for estimating the effects of reinforcement loadings and arrangements on composite properties
title_sort simple algorithm for estimating the effects of reinforcement loadings and arrangements on composite properties
publisher Universiti Malaysia Perlis
publishDate 2010
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7546
_version_ 1643788868875452416
score 13.222552

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