Published December 22, 2015 | Version v1
Journal article

Numerical prediction of flow induced fibers orientation in injection molded polymer composites

  • 1. Faculty of Mechanical Engineering, Universiti Malaysia Pahang 26600, Pekan, Pahang (Malaysia)

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. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/100/1/012066

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
100
Journal Issue
1
Journal Page Range
[7 p.]
ISSN
1757-899X

Conference

Title
3. international conference of mechanical engineering research
Acronym
ICMER 2015
Dates
18-19 Aug 2015
Place
Kuantan, Pahang (Malaysia)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
47098291
Subject category
S36: MATERIALS SCIENCE;
Resource subtype / Literary indicator
Conference
Descriptors DEI
COMPOSITE MATERIALS; COMPUTERIZED SIMULATION; CROSS SECTIONS; FIBERS; FLUID MECHANICS; FORECASTING; FUNGI; MOLDING; ORIENTATION; POLYMERS; THICKNESS
Descriptors DEC
DIMENSIONS; FABRICATION; MATERIALS; MECHANICS; PLANTS; SIMULATION