Prediction of physical properties of degradable plastics: A fuzzy approach

Degradable plastic is produced by combining oil palm products such as oil palm biomass (OPB); palm oil (PO); additives and polyethylene (PE). Several combinations of these input parameters are used in the formulation to produce degradable plastics of different physical properties. In this study, a F...

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Published in:CSSR 2010 - 2010 International Conference on Science and Social Research
Main Author: Bakar S.A.; Dom R.M.; Akbarally A.B.; Wan Hassan W.H.
Format: Conference paper
Language:English
Published: 2010
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-79959678162&doi=10.1109%2fCSSR.2010.5773711&partnerID=40&md5=0400fb31d1beded32050808691bf42cb
id 2-s2.0-79959678162
spelling 2-s2.0-79959678162
Bakar S.A.; Dom R.M.; Akbarally A.B.; Wan Hassan W.H.
Prediction of physical properties of degradable plastics: A fuzzy approach
2010
CSSR 2010 - 2010 International Conference on Science and Social Research


10.1109/CSSR.2010.5773711
https://www.scopus.com/inward/record.uri?eid=2-s2.0-79959678162&doi=10.1109%2fCSSR.2010.5773711&partnerID=40&md5=0400fb31d1beded32050808691bf42cb
Degradable plastic is produced by combining oil palm products such as oil palm biomass (OPB); palm oil (PO); additives and polyethylene (PE). Several combinations of these input parameters are used in the formulation to produce degradable plastics of different physical properties. In this study, a Fuzzy Logic (FL) model has been developed to predict the physical properties of plastics based on the same three input components. The formulation of degradable plastics with the most bioactive components in it with desirable physical properties measured by its Melt Flow Index (MFI) and Density could be identified using the FL model developed. The model demonstrates high prediction accuracy reflected in small RMSE value of 0.000129 for the prediction of MFI and 0.009337 for the prediction of Density. © 2010 IEEE.


English
Conference paper

author Bakar S.A.; Dom R.M.; Akbarally A.B.; Wan Hassan W.H.
spellingShingle Bakar S.A.; Dom R.M.; Akbarally A.B.; Wan Hassan W.H.
Prediction of physical properties of degradable plastics: A fuzzy approach
author_facet Bakar S.A.; Dom R.M.; Akbarally A.B.; Wan Hassan W.H.
author_sort Bakar S.A.; Dom R.M.; Akbarally A.B.; Wan Hassan W.H.
title Prediction of physical properties of degradable plastics: A fuzzy approach
title_short Prediction of physical properties of degradable plastics: A fuzzy approach
title_full Prediction of physical properties of degradable plastics: A fuzzy approach
title_fullStr Prediction of physical properties of degradable plastics: A fuzzy approach
title_full_unstemmed Prediction of physical properties of degradable plastics: A fuzzy approach
title_sort Prediction of physical properties of degradable plastics: A fuzzy approach
publishDate 2010
container_title CSSR 2010 - 2010 International Conference on Science and Social Research
container_volume
container_issue
doi_str_mv 10.1109/CSSR.2010.5773711
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-79959678162&doi=10.1109%2fCSSR.2010.5773711&partnerID=40&md5=0400fb31d1beded32050808691bf42cb
description Degradable plastic is produced by combining oil palm products such as oil palm biomass (OPB); palm oil (PO); additives and polyethylene (PE). Several combinations of these input parameters are used in the formulation to produce degradable plastics of different physical properties. In this study, a Fuzzy Logic (FL) model has been developed to predict the physical properties of plastics based on the same three input components. The formulation of degradable plastics with the most bioactive components in it with desirable physical properties measured by its Melt Flow Index (MFI) and Density could be identified using the FL model developed. The model demonstrates high prediction accuracy reflected in small RMSE value of 0.000129 for the prediction of MFI and 0.009337 for the prediction of Density. © 2010 IEEE.
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language English
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