Optimization Plastic Mold Injection Parameters for Sprinkler Valve Production Process Using Problem Solving and Experimental Design
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Abstract
The goal of this research was to optimize the injection molding process using problem-solving technique and experimental design to determine appropriate parameters for sprinkler valve production. The analysis identified that the main cause of defects was due to inappropriate parameter settings in the injection molding process. To address this, a method was developed that began with screening factors influencing incomplete injection and burn marks on the surface of the workpiece by expert teams. Four key factors were identified: injection pressure, injection speed, end-of-fill temperature, and start-of-fill temperature. Experiment design involved a factorial 24 experimental design with each factor divided into 2 levels, repeating experiments 3 times, for a total of 48 experiments. Statistical analysis was conducted to determine the optimal levels for all four factors, resulting in the following optimal factor levels: injection pressure of 65 MPa, injection speed of 10 mm/s, end-of-fill temperature of 175 °C, and start-of-fill temperature of 180 °C. Additionally, the defect rate was reduced from the original 11.6% decreased to 8.7%.
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References
M. G. Rathi and M. D. Salunke, “Analysis of injection moulding process parameters,” Int. J. Eng. Res. Technol., vol. 1, no. 8, pp. 1–5, Oct. 2012.
A. Akbarzadeh and M. Sadeghi, “Parameter study in plastic injection molding process using statistical methods and IWO algorithm,” Int. J. Model. Optim., vol. 1, no. 2, pp. 141–145, Jun. 2011.
L. Luca and M. M. Pasare, “Study on a new classification of causes which generate deffects of injection molding products,” Mater. Plast., vol. 56, no. 1, pp. 174–178, 2019.
T. M. Saputra, H. Hernadewita, A. Y. P. Saputra, L. H. Kusumah, and S. T. Hermiyetti, “Quality improvement of molding machine through statistical process control in plastic industry,” J. Appl. Res. Ind. Eng., vol. 6, no. 2, pp. 87–96, Jun. 2019.
A. Alshammari, S. Redha, S. Hussain, T. Nazzal, Z. Kamal, and W. Smew, “Quality improvement in plastic injection molding industry: applying lean six sigma to SME in Kuwait,” in Proc. Int. Conf. Ind. Eng. and Oper. Manage., Bandung, Indonesia, Mar. 2018, pp. 2856-2865.
A. Maged, S. Haridy, S. Kaytbay, and N. Bhuiyan, “Continuous improvement of injection moulding using Six Sigma: case study,” Int. J. Ind. Syst. Eng., vol. 32, no. 2, pp. 243–266, Jun. 2019.
D. C. Montgomery, Design and Analysis of Experiments, 10th ed. New Jersey, NJ, USA: John Wiley & Sons, 2019.
K. Rekab and M. Shaikh, Statistical Design of Experiments with Engineering Applications. Florida, FL, USA: Chapman & Hall, 2005.
P. Chutima, Engineering Experimental Design. Bangkok, Thailand: Chulalongkorn University (in Thai), 2002.
C. Phimpha, “Optimal condition of metal plating process for reducing defect in process by design of experiment,” (in Thai), KKU Res. J. (Grad. Stud.), vol. 22, no. 3, pp. 77–86, 2022.
P. Homsri and J. Kongthana, “Design of experiment (DOE) to reduce waste in plastic injection process of automotive parts,” (in Thai), Kasem Bundit Eng. J., vol. 3, no. 2, pp. 73–95, 2013.
A. Chanpahol and Y. Jantana, “Optimization for compress rubber screen machine setup using design of experiment,” (in Thai), J. Eng. Innov., vol. 15, no. 2, pp. 156–164, 2022.
P. Peamoon, P. Sukcharoenpong, and S. Witchakul, “The design of experiment to determine the optimum parameters for air particles control in the head gimbals assembly (HGA) washing process,” J. Eng. Digit. Technol. (JEDT), vol. 4, no. 2, pp. 40–45, 2016.
N. Danthaiwattana, “Optimization of peel back force’s factor setting for sealing track with design of experiment,” Dept. Ind. Develop., Thammasat Univ., Bangkok, Thailand, 2015. [Online]. Available: https://ethesisarchive.library.tu.ac.th/thesis/2015/TU_2015_5710037200_4059_3070.pdf
C. Kalchuk and K. Phunikom, “Design of experiments for analyzing factors affecting to Napier grass cutting efficiency,” (in Thai), Thai Ind. Eng. Netw. J., vol. 5, no. 2, pp. 20–26, 2019.
N. Leenatham, W. Sudsomboon, S. Kaewkuekool, C. Kaewdee, and W. Pansrinual, “The efficiency improvement of STR 20 block rubber production process by using design of experiments,” (in Thai), Naresuan Univ. Eng. J., vol. 16, no. 1, pp. 119–139, 2021.
P. Parakawong Na Ayuthaya, “Design of experiment to waste reduction injection process of electronic parts,” Dept. Eng. Ind. Technol., Silpakorn Univ., Bangkok, Thailand, 2018. [Online]. Available: http://ithesis-ir.su.ac.th/dspace/handle/123456789/2110
J. B. Tranter, P. Refalo, and A. Rochman, “Towards sustainable injection molding of ABS plastic products,” J. Manuf. Processes, vol. 29, pp. 399–406, Sep. 2017.
H. Öktem and D. Shinde, “Determination of optimal process parameters for plastic injection molding of polymer materials using multi-objective optimization,” J. Mater. Eng. Perform., vol. 30, no. 11, pp. 8616–8632, Aug. 2021.
L. D. Mahajan and P. N. Ulhe, “Analysis of injection molding process to reduced defects (short-shot),” Int. J. Eng. Technol. Manag. Res., vol. 5, no. 6, pp. 113–119, Jun. 2018.
H. Radhwan, S. M. Nasir, M. M. Rashidi, K. Kamarudin, and A. E.-H. Abdellah, “Optimization parameters to reduce the warpage defect of plastic injection molding process for a thin-shell part using design of experiment,” IOP Conf. Ser.: Mater. Sci. Eng., vol. 551, Aug. 2019, Art. no. 012027, doi: 10.1088/1757-899X/551/1/012027.
A. I. Khuri, Response Surface Methodology and Related Topics. Singapore: World Scientific, 2006.