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    A Statistical Experimental Study on Shrinkage of Injection-Molded Part

    Access Status
    Fulltext not available
    Authors
    Rajalingam, Sokkalingam
    Bono, A.
    bin Sulaiman, J.
    Date
    2012
    Type
    Conference Paper
    
    Metadata
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    Citation
    Rajalingam, Sokkalingam and Bono, Awang and bin Sulaiman, Jumat. 2012. A Statistical Experimental Study on Shrinkage of Injection-Molded Part, in Baby, S. (ed), International Conference on Mathematics and Statistical Modeling, Dec 29-30 2012, pp. 311-315. Kuala Lumpur: International Scientific Academy of Engineering and Technology.
    Source Title
    International Conference on Mathematics and Statistical Modeling 2012
    Source Conference
    International Conference on Mathematics and Statistical Modeling 2012
    ISBN
    9789382242222
    URI
    http://hdl.handle.net/20.500.11937/13139
    Collection
    • Curtin Research Publications
    Abstract

    Plastic injection molding is an important process to produce plastic parts. However, the difficulty in determining optimum process parameters setting may cause defects of the injected molded parts such as shrinkage. In this study the authors investigate the process parameters which will affect the shrinkage defect on a plastic cell phone shell component. The process parameters selected in this study are the mould temperature, injection pressure and screw rotation speed. The Design of Experimental (DOE) approach was used to investigate and identify the optimal moulding process parameters setting. The significant factors affecting the length and width of the cell phone shell were identified from ANOV A. Statistical results and analyses are used to provide better interpretation of the experiment. Confirmation run with the optimal process parameter setting found by DOE method determined that the shrinkage defect can be eliminated during mass production.

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      The injection molding process is used to produce thin-walled plastic products for a wide variety of applications. However, the difficulty in adjusting optimum process parameters setting may cause defects on injected molded ...
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