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    Analysis of strength on thick plate part using Taguchi Method

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    Abstract, Acknowledgement.pdf (143.1Kb)
    Introduction.pdf (129.0Kb)
    Literature review.pdf (1.418Mb)
    Methodology.pdf (362.7Kb)
    Results and discussion.pdf (581.5Kb)
    Conclusion.pdf (110.3Kb)
    Reference and appendix.pdf (1.336Mb)
    Date
    2016-06
    Author
    Amir Syahir, Shah Bani
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    Abstract
    The tensile strength of the certain moulded parts is important, especially for the product which requires the strength for functionality and quality. It is known that parameter setting of injection moulding had interaction between the tensile strength of the product manufactured in plastic industry. Trial and error method that usually implemented in the industry is known will cause the company lost in material quantity in order to provide specific product performance requirement from customers. To out run these issues, the Taguchi parameter optimisation was introduced, which attempt to minimize the production cost at the same time improving the tensile strength of the product. The Taguchi method is known to provide a basis for determining the functional relationship between controllable product and the results of a process. This study can classify into three phases which are selection of part design used and simulated the flow of the selected material into the mould cavities with Fill, Fill + Pack and Cool (FEM) analysis with Autodesk Moldflow Insight software. Then recommended parameter setting from the simulation works result were adapted into the injection moulding machine and the product undergone tensile testing. Throughout the result of tensile testing using the recommended parameter obtained from the simulation. The most significant parameter that affected the tensile strength of the thick plate part were obtained by applying the Taguchi method and from the analysis also will be acquire the new setting that is the optimal parameter setting. The results of tensile strength of the optimal parameter setting will be compared with results of recommended parameter setting by the mathematical method.
    URI
    http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69616
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    • School of Manufacturing Engineering (FYP) [338]

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