Numerical Prediction of Flow Induced Fibers Orientation in Injection Molded Polymer Composites

Since the filling stage of injection molding process has important effect on the determination of the orientation state of the fibers, accurate analysis of the flow field for the mold filling stage becomes a necessity. The aim of the paper is to characterize the flow induced orientation state of sho...

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Main Authors: A. N., Oumer, N. M., Hamidi, Idris, Mat Sahat
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/10190/
http://umpir.ump.edu.my/id/eprint/10190/
http://umpir.ump.edu.my/id/eprint/10190/1/fkm-2015-nurye-Numerical%20Prediction.pdf
id ump-10190
recordtype eprints
spelling ump-101902018-02-19T04:22:24Z http://umpir.ump.edu.my/id/eprint/10190/ Numerical Prediction of Flow Induced Fibers Orientation in Injection Molded Polymer Composites A. N., Oumer N. M., Hamidi Idris, Mat Sahat TJ Mechanical engineering and machinery Since the filling stage of injection molding process has important effect on the determination of the orientation state of the fibers, accurate analysis of the flow field for the mold filling stage becomes a necessity. The aim of the paper is to characterize the flow induced orientation state of short fibers in injection molding cavities. A dog-bone shaped model is considered for the simulation and experiment. The numerical model for determination of the fibers orientation during mold-filling stage of injection molding process was solved using Computational Fluid Dynamics (CFD) software called MoldFlow. Both the simulation and experimental results showed that two different regions (or three layers of orientation structures) across the thickness of the specimen could be found: a shell region which is near to the mold cavity wall, and a core region at the middle of the cross section. The simulation results support the experimental observations that for thin plates the probability of fiber alignment to the flow direction near the mold cavity walls is high but low at the core region. It is apparent that the results of this study could assist in decisions regarding short fiber reinforced polymer composites. 2015 Conference or Workshop Item NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/10190/1/fkm-2015-nurye-Numerical%20Prediction.pdf A. N., Oumer and N. M., Hamidi and Idris, Mat Sahat (2015) Numerical Prediction of Flow Induced Fibers Orientation in Injection Molded Polymer Composites. In: The 3rd International Conference on Mechanical Engineering Research (ICMER 2015), 18-19 August 2015 , Zenith Hotel, Kuantan, Pahang, Malaysia. pp. 1-8.. (Unpublished) http://icmer.ump.edu.my/
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
A. N., Oumer
N. M., Hamidi
Idris, Mat Sahat
Numerical Prediction of Flow Induced Fibers Orientation in Injection Molded Polymer Composites
description Since the filling stage of injection molding process has important effect on the determination of the orientation state of the fibers, accurate analysis of the flow field for the mold filling stage becomes a necessity. The aim of the paper is to characterize the flow induced orientation state of short fibers in injection molding cavities. A dog-bone shaped model is considered for the simulation and experiment. The numerical model for determination of the fibers orientation during mold-filling stage of injection molding process was solved using Computational Fluid Dynamics (CFD) software called MoldFlow. Both the simulation and experimental results showed that two different regions (or three layers of orientation structures) across the thickness of the specimen could be found: a shell region which is near to the mold cavity wall, and a core region at the middle of the cross section. The simulation results support the experimental observations that for thin plates the probability of fiber alignment to the flow direction near the mold cavity walls is high but low at the core region. It is apparent that the results of this study could assist in decisions regarding short fiber reinforced polymer composites.
format Conference or Workshop Item
author A. N., Oumer
N. M., Hamidi
Idris, Mat Sahat
author_facet A. N., Oumer
N. M., Hamidi
Idris, Mat Sahat
author_sort A. N., Oumer
title Numerical Prediction of Flow Induced Fibers Orientation in Injection Molded Polymer Composites
title_short Numerical Prediction of Flow Induced Fibers Orientation in Injection Molded Polymer Composites
title_full Numerical Prediction of Flow Induced Fibers Orientation in Injection Molded Polymer Composites
title_fullStr Numerical Prediction of Flow Induced Fibers Orientation in Injection Molded Polymer Composites
title_full_unstemmed Numerical Prediction of Flow Induced Fibers Orientation in Injection Molded Polymer Composites
title_sort numerical prediction of flow induced fibers orientation in injection molded polymer composites
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/10190/
http://umpir.ump.edu.my/id/eprint/10190/
http://umpir.ump.edu.my/id/eprint/10190/1/fkm-2015-nurye-Numerical%20Prediction.pdf
first_indexed 2023-09-18T22:09:32Z
last_indexed 2023-09-18T22:09:32Z
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