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

    1. style='mso-element:field-begin;mso-field-lock:yes'>ADDIN Mendeley
    2. Bibliography CSL_BIBLIOGRAPHY [1] F. A. Ghasemi, I. Ghasemi, S. Menbari, M. Ayaz, and A. Ashori, “Optimization of mechanical properties of polypropylene/talc/graphene composites using response surface methodology,†Polym. Test., vol. 53, pp. 283–292, 2016.

      [2] N. I. Zulkifli, N. Samat, H. Anuar, and N. Zainuddin, “Mechanical properties and failure modes of recycled polypropylene/microcrystalline cellulose composites,†Mater. Des., vol. 69, pp. 114–123, 2015.

      [3] M. Amran, R. Izamshah, M. Hadzley, M. Shahir, M. Amri, M. Sanusi, and H. Hilmi, “The Effect of Binder on Mechanical Properties of Kenaf Fibre/Polypropylene Composites using Full Factorial Method.†App. Mech. and Mat., vol. 695, pp. 709-712, 2015.

      [4] E. Kuram, E. Tasci, A. Ihsan, M. Metin, F. Yilmaz, and B. Ozcelik, “Investigating the effects of recycling number and injection parameters on the mechanical properties of glass-fibre reinforced nylon 6 using Taguchi method,†Mater. Des., vol. 49, pp. 139–150, 2013.

      [5] S. E. Mirvar, R. M. Kaleybar, and A. Afsari, “Optimization of injection molding process parameters to increase the tensile strength in polyamide-specimen using the taguchi method,†Adv. Mater. Res., vol. 341–342, pp. 395–399, 2011.

      [6] N. M. Mehat, S. Kamaruddin, and A. R. Othman, “Investigating the Effects of Injection Moulding Process Parameters on Multiple Tensile Characteristics of Plastic Spur Gear via Experimental Approach,†Adv. Mater. Res., vol. 748, pp. 544–548, 2013.

      [7] M. Amran, S. Salmah, A. Faiz, R., Izamshah, M. Hadzley, B. Manshoor, M. Shahir, and M., Amri, “Effect of Injection Moulding Machine Parameters on the Warpage by Applying Taguchi Method.†App. Mech. and Mat. vol. 699, pp. 20-25, 2015.

      [8] M. A. Amran, M. Hadzley, S. Amri, R. Izamshah, A. Hassan, S. Samsi and K. Shahir, “Optimization of gate, runner and sprue in twoâ€plate family plastic injection mould.†in AIP Proc., 2010, vol. 1217, no. 1, pp. 309-313.

      [9] D. Kusić, T. Kek, J. M. Slabe, R. SveÄko, and J. Grum, “The impact of process parameters on test specimen deviations and their correlation with AE signals captured during the injection moulding cycle,†Polym. Test., vol. 32, pp. 583–593, 2013.

      [10] M. A. Md Ali, N. Idayu, M. S. Abd Aziz, M. Hadzley, and Sivaraos, “Optimisation of process parameters in linear runner family injection mold using moldflow simulation software,†ARPN J. Eng. Appl. Sci., vol. 11, no. 4, pp. 2475–2482, 2016.

      [11] H. Pervez, M. Mozumder, and A.-H. Mourad, “Optimization of Injection Molding Parameters for HDPE/TiO2 Nanocomposites Fabrication with Multiple Performance Characteristics Using the Taguchi Method and Grey Relational Analysis,†Mat. (Basel)., vol. 9, no. 8, p. 710, 2016.

      [12] S. Gobinath, D. Elangovan, E. Sivakumar, and S. R. Devadasan, “Viability study of use of reprocessed high density polyethylene for manufacturing products and multi response optimization of injection moulding parameters using grey relational analysis,†Polym. Polym. Compos., vol. 24, no. 7, pp. 547–555, 2016.

      [13] B. Mathew, Benkim, and J. Babu, “Multiple process parameter optimization of WEDM on AISI304 using utility approach,†Procedia Mater. Sci., vol. 5, pp. 1863–1872, 2014.

      [14] M. A. M. Amran, N. Idayu, K. M. Faizal, M. Sanusi, R. Izamshah, and M. Shahir, “Part weight verification between simulation and experiment of plastic part in injection moulding process,†in IOP Conf. Series: Mat. Sci. and Eng., 2016, vol. 160, pp. 1–7.

      [15] D. Bhattacharya and B. Bepari, “Feasibility study of recycled polypropylene through multi response optimization of injection moulding parameters using grey relational analysis,†Procedia Eng., vol. 97, pp. 186–196, 2014.

    3. mso-fareast-font-family:Batang;color:black;mso-ansi-language:EN-US;mso-fareast-language:
    4. KO;mso-bidi-language:AR-SA'>
  • Downloads

  • 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