Multiobjective Optimization of Injection Moulding Process Parameters on Mechanical Properties Using Taguchi Method and Grey Relational Analysis

  • Authors

    • Mohd Amran Md Ali
    • Noorfa Idayu
    • Raja Izamshah
    • Mohd Shahir Kasim
    • Mohd Shukor Salleh
    • Sivarao .
    2018-07-04
    https://doi.org/10.14419/ijet.v7i3.7.16196
  • Injection moulding, Multiobjective optimization, Taguchi method, Grey relational analysis, Mechanical properties

  • Abstract

    This study presents an optimization of injection moulding parameters on mechanical properties of plastic part using Taguchi method and Grey Relational Analysis (GRA) approach. The orthogonal array with L9 was used as the experimental design. Grey relational analysis for ultimate tensile strength, modulus and percentage of elongation from the Taguchi method can convert optimization of the multiple performance characteristics into optimization of a single performance characteristic called the grey relational grade (GRG). It is found that mould temperature of 62oC, melt temperature of 280oC, injection time of 0.70s and cooling time 15.4s are found as the optimum process setting. Furthermore, ANOVA result shows that the cooling time is the most influenced factor that affects the mechanical properties of plastic part followed by mould temperature and melt temperature.

     

     

  • References

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  • How to Cite

    Amran Md Ali, M., Idayu, N., Izamshah, R., Shahir Kasim, M., Shukor Salleh, M., & ., S. (2018). Multiobjective Optimization of Injection Moulding Process Parameters on Mechanical Properties Using Taguchi Method and Grey Relational Analysis. International Journal of Engineering & Technology, 7(3.7), 14-16. https://doi.org/10.14419/ijet.v7i3.7.16196

    Received date: 2018-07-24

    Accepted date: 2018-07-24

    Published date: 2018-07-04