Predicting Tensile Properties of Lalang Grass Fiber (LGF) Reinforced Polypropylene (PP) using Mathematical Modelling

Fiber reinforced-polymer composite is commonly used in many fields due to its advantages such as low cost, renewability and biodegradable factors. Very limited efforts have been done on theoretical modelling of short fiber reinforced polymer. Moreover, the use of mathematical modelling for predictin...

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Main Author: Mohamad Redzuan, Intan Fazreenna
Format: Final Year Project
Language:English
Published: IRC 2020
Subjects:
Online Access:http://utpedia.utp.edu.my/20345/1/75.pdf
http://utpedia.utp.edu.my/20345/
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spelling my-utp-utpedia.203452021-04-06T15:55:09Z http://utpedia.utp.edu.my/20345/ Predicting Tensile Properties of Lalang Grass Fiber (LGF) Reinforced Polypropylene (PP) using Mathematical Modelling Mohamad Redzuan, Intan Fazreenna TJ Mechanical engineering and machinery Fiber reinforced-polymer composite is commonly used in many fields due to its advantages such as low cost, renewability and biodegradable factors. Very limited efforts have been done on theoretical modelling of short fiber reinforced polymer. Moreover, the use of mathematical modelling for predicting the tensile properties of lalang grass fiber (LGF) reinforced with polypropylene (PP) is almost non-existence. Therefore, the objectives of this project were to predict the tensile properties of PP/LGF composite using mathematical modelling and to validate the theoretical values with the previous experimental results. The composition of the PP/LFG that was used to validate the prediction is 70/30 wt.%. IRC 2020-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/20345/1/75.pdf Mohamad Redzuan, Intan Fazreenna (2020) Predicting Tensile Properties of Lalang Grass Fiber (LGF) Reinforced Polypropylene (PP) using Mathematical Modelling. IRC, UTP. (Submitted)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Mohamad Redzuan, Intan Fazreenna
Predicting Tensile Properties of Lalang Grass Fiber (LGF) Reinforced Polypropylene (PP) using Mathematical Modelling
description Fiber reinforced-polymer composite is commonly used in many fields due to its advantages such as low cost, renewability and biodegradable factors. Very limited efforts have been done on theoretical modelling of short fiber reinforced polymer. Moreover, the use of mathematical modelling for predicting the tensile properties of lalang grass fiber (LGF) reinforced with polypropylene (PP) is almost non-existence. Therefore, the objectives of this project were to predict the tensile properties of PP/LGF composite using mathematical modelling and to validate the theoretical values with the previous experimental results. The composition of the PP/LFG that was used to validate the prediction is 70/30 wt.%.
format Final Year Project
author Mohamad Redzuan, Intan Fazreenna
author_facet Mohamad Redzuan, Intan Fazreenna
author_sort Mohamad Redzuan, Intan Fazreenna
title Predicting Tensile Properties of Lalang Grass Fiber (LGF) Reinforced Polypropylene (PP) using Mathematical Modelling
title_short Predicting Tensile Properties of Lalang Grass Fiber (LGF) Reinforced Polypropylene (PP) using Mathematical Modelling
title_full Predicting Tensile Properties of Lalang Grass Fiber (LGF) Reinforced Polypropylene (PP) using Mathematical Modelling
title_fullStr Predicting Tensile Properties of Lalang Grass Fiber (LGF) Reinforced Polypropylene (PP) using Mathematical Modelling
title_full_unstemmed Predicting Tensile Properties of Lalang Grass Fiber (LGF) Reinforced Polypropylene (PP) using Mathematical Modelling
title_sort predicting tensile properties of lalang grass fiber (lgf) reinforced polypropylene (pp) using mathematical modelling
publisher IRC
publishDate 2020
url http://utpedia.utp.edu.my/20345/1/75.pdf
http://utpedia.utp.edu.my/20345/
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score 13.160551