The application of statistical methods to the experimentation plan, represent a new sector of research. The present work involves the design and the realization of experimental tests to improve an injection moulding productive process. Starting from the moulding process analysis of the support basement supplying for the motorcar change-gear, we have noticed that the weight values were out of tolerance. In fact, the Cp and Cpk values for the weight parameter are resulted minor than one. The production of change-gear supports requires the use of thermoplastic material. It derives from polymers. They are characterised by state reversible changes, through transformation processes. The plastic material used is a PA 6.6 polyamide. The modern machines use a reciprocal screw mechanism, that allows melting, in homogeneous way, the plastic material and injecting it into a mould. When a sufficient quantity of melted composite material arrives at the mould, positioned to the end of the screw, the same screw stops and injects the plastic material into the mould. Starting from the definition of control parameters and the evaluation of noise factors, we have put out the best factorial combination minimizing the noise negative influence. We want to define the best productive factors to reduce the moulding defectiveness percentage, according to the design specifications established with the customer.


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    Titel :

    Improvement of the moulding process in an automotive company by robust design application


    Beteiligte:
    Falcone, D. (Autor:in) / Felice, F. de (Autor:in) / Bona, G.P. di (Autor:in) / Silvestri, A. (Autor:in)


    Erscheinungsdatum :

    2003


    Format / Umfang :

    6 Seiten, 7 Bilder, 9 Tabellen, 18 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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