An Enhanced Model for Prediction of Young Modulus of Composite

This paper presents computer simulation model for prediction of young modulus for Wood Plastic Composite (WPC) properties. The effect on modulus of natural fibers which affect the strength and stiffness of the composites were studied. The results show that the percentage of void volume inside the fi...

Full description

Bibliographic Details
Main Authors: Gupta, Ritu, Norrozila, Sulaiman, Beg, M. D. H., Gupta, Arun
Format: Article
Language:English
Published: Elsevier Ltd 2012
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/6476/
http://umpir.ump.edu.my/id/eprint/6476/1/An_enhanced_model_for_prediction_of_young_modulus_of_composite.pdf
_version_ 1848817779163004928
author Gupta, Ritu
Norrozila, Sulaiman
Beg, M. D. H.
Gupta, Arun
author_facet Gupta, Ritu
Norrozila, Sulaiman
Beg, M. D. H.
Gupta, Arun
author_sort Gupta, Ritu
building UMP Institutional Repository
collection Online Access
description This paper presents computer simulation model for prediction of young modulus for Wood Plastic Composite (WPC) properties. The effect on modulus of natural fibers which affect the strength and stiffness of the composites were studied. The results show that the percentage of void volume inside the fibers is reduced using the proposed model. The results are validated with the experimental data and it was shown that the results from simulations model are closed to the experimental result.
first_indexed 2025-11-15T01:27:11Z
format Article
id ump-6476
institution Universiti Malaysia Pahang
institution_category Local University
language English
last_indexed 2025-11-15T01:27:11Z
publishDate 2012
publisher Elsevier Ltd
recordtype eprints
repository_type Digital Repository
spelling ump-64762018-03-20T01:09:45Z http://umpir.ump.edu.my/id/eprint/6476/ An Enhanced Model for Prediction of Young Modulus of Composite Gupta, Ritu Norrozila, Sulaiman Beg, M. D. H. Gupta, Arun TP Chemical technology QA75 Electronic computers. Computer science This paper presents computer simulation model for prediction of young modulus for Wood Plastic Composite (WPC) properties. The effect on modulus of natural fibers which affect the strength and stiffness of the composites were studied. The results show that the percentage of void volume inside the fibers is reduced using the proposed model. The results are validated with the experimental data and it was shown that the results from simulations model are closed to the experimental result. Elsevier Ltd 2012 Article PeerReviewed application/pdf en cc_by_nc_nd http://umpir.ump.edu.my/id/eprint/6476/1/An_enhanced_model_for_prediction_of_young_modulus_of_composite.pdf Gupta, Ritu and Norrozila, Sulaiman and Beg, M. D. H. and Gupta, Arun (2012) An Enhanced Model for Prediction of Young Modulus of Composite. Procedia Technology, 1. pp. 303-307. ISSN 2212-0173. (Published) http://dx.doi.org/ 10.1016/j.protcy.2012.02.064 DOI: 10.1016/j.protcy.2012.02.064
spellingShingle TP Chemical technology
QA75 Electronic computers. Computer science
Gupta, Ritu
Norrozila, Sulaiman
Beg, M. D. H.
Gupta, Arun
An Enhanced Model for Prediction of Young Modulus of Composite
title An Enhanced Model for Prediction of Young Modulus of Composite
title_full An Enhanced Model for Prediction of Young Modulus of Composite
title_fullStr An Enhanced Model for Prediction of Young Modulus of Composite
title_full_unstemmed An Enhanced Model for Prediction of Young Modulus of Composite
title_short An Enhanced Model for Prediction of Young Modulus of Composite
title_sort enhanced model for prediction of young modulus of composite
topic TP Chemical technology
QA75 Electronic computers. Computer science
url http://umpir.ump.edu.my/id/eprint/6476/
http://umpir.ump.edu.my/id/eprint/6476/
http://umpir.ump.edu.my/id/eprint/6476/
http://umpir.ump.edu.my/id/eprint/6476/1/An_enhanced_model_for_prediction_of_young_modulus_of_composite.pdf