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    Gas assisted injection moulding: Experiment and simulation. Industrial machine experimental studies of the effect of process variables on gas bubble formation, and with simulation based upon a pseudo-concentration method.

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    Mulvaney_Johnson_phd_thesis_corrected_21nov01-1.pdf (2.384Mb)
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    Publication date
    2011-08-01
    Author
    Mulvaney-Johnson, Leigh
    Supervisor
    Olley, Peter
    Coates, Philip D.
    Keyword
    Gas assisted injection moulding
    Simulation
    Gas bubble formation
    Wall thickness prediction
    Rights
    Creative Commons License
    The University of Bradford theses are licenced under a Creative Commons Licence.
    Institution
    University of Bradford
    Department
    Department of Mechanical and Medical Engineering
    Awarded
    2001
    
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    Abstract
    The gas assisted injection moulding process is an important extension to conventional injection moulding. Gas assist can be applied in a number of ways, but here the penetration of a gas bubble through the polymer melt is of interest. A 3D fi nite element implementation of a pseudo concentration method is employed to simulate the primary penetration of the gas bubble. The wall thickness prediction is an important result since the extent of bubble penetration is sensitive to the remaining melt fraction. A number of methods for experimental measurement are developed to measure characteristics of the gas assisted injection moulding process dynamics and product. Key process variables, on an industrial gas-assist machine, were measured and analysed, leading to an empirical model for wall thickness prediction. Gas delay time and injection velocity are shown to be most influential in controlling residual wall thickness. Simulation results are evaluated against the empirical model. The trends observed, for simulation and experiment, in wall thickness after changes in process variable settings are found to agree qualitatively. The wall thickness prediction is found to be within 10% of the experimentally obtained measurements.
    URI
    http://hdl.handle.net/10454/4983
    Type
    Thesis
    Qualification name
    PhD
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