Injection Moulding Parameter Optimisation to Improve the Quality of Sample Made from Polymer Nanocomposites with Gigantochloa Scortechinii Fibres

  • Authors

    • M. H.Othman
    • S. Z.Khamis
    • M. S.Rosli
    • S. Hasan
    • M. H.I.Ibrahim
    • S. R.Masrol
    • N. M.Main
    https://doi.org/10.14419/ijet.v7i3.7.25724
  • Injection moulding, Polypropylene-nanoclay Nanocomposite, Gigantochloa Scortechinii, Taguchi Method, Shrinkage, Warpage.

  • Abstract

    This article presents about how to optimise the parameter setting for plastic manufacturing process to reduce shrinkage and warpage. The plastic used for this experiment was a mixture, consist of polymer, nanofiller and natural fibre. The polymer chosen was polypropylene. The selected nanofiller was nanoclay and the type of natural fibre was Gigantochloa Scortechinii or bamboo fibre. Few parameter settings were chosen based on previous findings. Initial preparation was made to prepare the compound with two different formulation. One formula was made with the additional fibre and another was without fibre, for comparison purpose. To optimise the setting, Taguchi Method was used with L9 orthogonal array setting due to limited number of samples. The results showed that the optimal parameter setting for 3 wt. % fibre is 175â°C for melt temperature, followed by 40% of packing pressure. The optimum setting for screw speed was 35% and for filling time was 2 seconds. In conclusion, the objective of this research had been successfully achieved by providing the knowledge how to control the quality of the advanced material product via optimisation of the manufacturing process.

     

     


     

  • References

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  • How to Cite

    H.Othman, M., Z.Khamis, S., S.Rosli, M., Hasan, S., H.I.Ibrahim, M., R.Masrol, S., & M.Main, N. (2018). Injection Moulding Parameter Optimisation to Improve the Quality of Sample Made from Polymer Nanocomposites with Gigantochloa Scortechinii Fibres. International Journal of Engineering & Technology, 7(3.7), 623-625. https://doi.org/10.14419/ijet.v7i3.7.25724

    Received date: 2019-01-11

    Accepted date: 2019-01-11