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    Robust Part Quality by Controlling the Injection Moulding Process with 24 Fraction Factorial Design: A Case Study

    154236_154236.pdf (404.4Kb)
    Access Status
    Open access
    Authors
    Sokkalingam, Rajalingam
    Date
    2010
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Sokkalingam, Rajalingam. 2010. Robust Part Quality by Controlling the Injection Moulding Process with 24 Fraction Factorial Design: A Case Study, in Zhang, T. (ed), 2010 International Conference on Manufacturing Science and Technology (ICMST 2010), Nov 26 2010, pp. 1-5. Kuala Lumpur, Malaysia: IEEE.
    Source Title
    Manufacturing Science and Technology
    Source Conference
    2010 International Conference on Manufacturing Science and Technology (ICMST 2010)
    ISBN
    978-1-4244-8758-5
    School
    Curtin Sarawak - Faculty Office
    Remarks

    Copyright © 2010 IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/17347
    Collection
    • Curtin Research Publications
    Abstract

    The author wants to use a case study to investigate the injection moulding machine parameters which will affect the horizontal length dimension of a plastic component used in digital camera. Currently the injection moulding machine process setting caused variations in the diameter exceeding the specification limit. Therefore the experiment is needed to identify the process factors that could be set to maintain the horizontal length dimension closest to the target value and smallest possible variation. The experimental model is used to investigate four factors to identify the factors having large effect by using the Full Factorial Design of Experiment (DOE). The experiment has emphasized the use of these designs in identifying the subset of factors that are active and provide some information about the interaction.

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