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Fibre Orientation and Breakage in Glass Fibre Reinforced Polymer Composite Systems: Experimental Validation of Models for Injection Mouldings. Validation of Short and Long Fibre Prediction Models within Autodesk Simulation Moldflow Insight 2014
Parveen, Bushra
Parveen, Bushra
Publication Date
2014
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The University of Bradford theses are licenced under a Creative Commons Licence.
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Accepted for publication
Institution
University of Bradford
Department
Faculty of Engineering and Informatics University of Bradford
Awarded
2014
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Abstract
End-gated and centre gated mouldings have been assessed with varying
thickness and sprue geometries for the centre gate. Alternative image analysis
techniques are used to measure the orientation and length of injection moulded
short and long fibres composite components. The fibre orientation distribution
(FOD) measurements for both geometries have been taken along the flow path.
In shear flow the FOD changes along the flow path, however the FOD remains
relatively constant during expansion flow. The core width and FOD at the skin
within a long glass fibre (LGF) specimen is different in comparison to a short
glass fibre (SGF) specimen. Fibre length measurements have been taken from
the extrudate, sprue and 2 positions within the centre gate cavity. The size of
the sprue has little influence on fibre breakage if the moulding is more than 1
mm thick
The SGF FOD prediction models within Autodesk Simulation Moldflow Insight
2014 (ASMI) have been validated against measured SGF data. At present, by
default, the models over-predict the <cos2θ> for most geometries. When the
coefficients are tailored for each model, drastic improvements are seen in the
FOD prediction. The recently developed SGF RSC model accurately predicts
the FOD in shear, in a thin geometry, whereas the Folgar-Tucker model predicts
the FOD accurately in expansion flow.
The measured LGF fibre length distribution (FLD) and FOD have been validated
against the LGF prediction models. The LGF models are currently under predicting the breakage and over-predicting <cos2θ>. The breakage prediction improves if measured FLD of the extrudate is input into the model.
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Type
Thesis
Qualification name
PhD