Stiffness prediction of hybrid kenaf/glass fiber reinforced polypropylene composites using rule of mixtures (ROM) and rule of hybrid mixtures (RoHM)

In this report, rules of mixture (ROM) and rule of hybrid mixtures (RoHM) were utilized to predict the mechanical properties of kenaf/glass fiber reinforced polypropylene short random oriented hybrid composites material. Three hybrid composition were studied with total fiber contents 30 vol%, 40 vol...

Full description

Bibliographic Details
Main Authors: Mansor, Muhd Ridzuan, Salit, Mohd Sapuan, Zainudin, Edi Syams, Abdul Aziz, Nuraini, Arep @ Ariff, Hambali
Format: Article
Language:English
Published: MD Publications 2013
Online Access:http://psasir.upm.edu.my/id/eprint/28664/
http://psasir.upm.edu.my/id/eprint/28664/1/Stiffness%20prediction%20of%20hybrid%20kenaf.pdf
_version_ 1848846179661512704
author Mansor, Muhd Ridzuan
Salit, Mohd Sapuan
Zainudin, Edi Syams
Abdul Aziz, Nuraini
Arep @ Ariff, Hambali
author_facet Mansor, Muhd Ridzuan
Salit, Mohd Sapuan
Zainudin, Edi Syams
Abdul Aziz, Nuraini
Arep @ Ariff, Hambali
author_sort Mansor, Muhd Ridzuan
building UPM Institutional Repository
collection Online Access
description In this report, rules of mixture (ROM) and rule of hybrid mixtures (RoHM) were utilized to predict the mechanical properties of kenaf/glass fiber reinforced polypropylene short random oriented hybrid composites material. Three hybrid composition were studied with total fiber contents 30 vol%, 40 vol% and 50 vol% and the relative glass fiber contents are varied from 0 to 100 vol%. Analytical results using the both micromechanical models show that the hybridization between kenaf with glass fiber in short fiber form using polypropylene matrix give positive hybrid effect to the overall hybrid stiffness at minimum relative glass fiber volume fraction of 87.5% compared to the kenaf/polypropylene composites single system for all total fiber volume content cases. Similarly, it was also observed that the stiffness of the hybrid short and randomly oriented composites increases as the overall fiber volume contents increases. The overall results have provided useful insight of the hybridization effects to the stiffness of the final hybrid composites especially for the application in product development process using similar hybrid short randomly oriented kenaf/glass fiber reinforced polypropylene composite materials.
first_indexed 2025-11-15T08:58:36Z
format Article
id upm-28664
institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T08:58:36Z
publishDate 2013
publisher MD Publications
recordtype eprints
repository_type Digital Repository
spelling upm-286642015-10-07T01:54:52Z http://psasir.upm.edu.my/id/eprint/28664/ Stiffness prediction of hybrid kenaf/glass fiber reinforced polypropylene composites using rule of mixtures (ROM) and rule of hybrid mixtures (RoHM) Mansor, Muhd Ridzuan Salit, Mohd Sapuan Zainudin, Edi Syams Abdul Aziz, Nuraini Arep @ Ariff, Hambali In this report, rules of mixture (ROM) and rule of hybrid mixtures (RoHM) were utilized to predict the mechanical properties of kenaf/glass fiber reinforced polypropylene short random oriented hybrid composites material. Three hybrid composition were studied with total fiber contents 30 vol%, 40 vol% and 50 vol% and the relative glass fiber contents are varied from 0 to 100 vol%. Analytical results using the both micromechanical models show that the hybridization between kenaf with glass fiber in short fiber form using polypropylene matrix give positive hybrid effect to the overall hybrid stiffness at minimum relative glass fiber volume fraction of 87.5% compared to the kenaf/polypropylene composites single system for all total fiber volume content cases. Similarly, it was also observed that the stiffness of the hybrid short and randomly oriented composites increases as the overall fiber volume contents increases. The overall results have provided useful insight of the hybridization effects to the stiffness of the final hybrid composites especially for the application in product development process using similar hybrid short randomly oriented kenaf/glass fiber reinforced polypropylene composite materials. MD Publications 2013-09 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28664/1/Stiffness%20prediction%20of%20hybrid%20kenaf.pdf Mansor, Muhd Ridzuan and Salit, Mohd Sapuan and Zainudin, Edi Syams and Abdul Aziz, Nuraini and Arep @ Ariff, Hambali (2013) Stiffness prediction of hybrid kenaf/glass fiber reinforced polypropylene composites using rule of mixtures (ROM) and rule of hybrid mixtures (RoHM). Journal of Polymer Materials, 30 (3). pp. 321-334. ISSN 0973-8622; ESSN: 0976-3449
spellingShingle Mansor, Muhd Ridzuan
Salit, Mohd Sapuan
Zainudin, Edi Syams
Abdul Aziz, Nuraini
Arep @ Ariff, Hambali
Stiffness prediction of hybrid kenaf/glass fiber reinforced polypropylene composites using rule of mixtures (ROM) and rule of hybrid mixtures (RoHM)
title Stiffness prediction of hybrid kenaf/glass fiber reinforced polypropylene composites using rule of mixtures (ROM) and rule of hybrid mixtures (RoHM)
title_full Stiffness prediction of hybrid kenaf/glass fiber reinforced polypropylene composites using rule of mixtures (ROM) and rule of hybrid mixtures (RoHM)
title_fullStr Stiffness prediction of hybrid kenaf/glass fiber reinforced polypropylene composites using rule of mixtures (ROM) and rule of hybrid mixtures (RoHM)
title_full_unstemmed Stiffness prediction of hybrid kenaf/glass fiber reinforced polypropylene composites using rule of mixtures (ROM) and rule of hybrid mixtures (RoHM)
title_short Stiffness prediction of hybrid kenaf/glass fiber reinforced polypropylene composites using rule of mixtures (ROM) and rule of hybrid mixtures (RoHM)
title_sort stiffness prediction of hybrid kenaf/glass fiber reinforced polypropylene composites using rule of mixtures (rom) and rule of hybrid mixtures (rohm)
url http://psasir.upm.edu.my/id/eprint/28664/
http://psasir.upm.edu.my/id/eprint/28664/1/Stiffness%20prediction%20of%20hybrid%20kenaf.pdf