Optimizing Injection Molding Parameters to Cycle Time of Bioring Cone Cup Products with Taguchi Method

Farizi Rachman; Bayu Wiro Karuniawan; Ika Pramestiani; Noorman Rinanto

doi:10.12962/j25481479.v8i3.18544

Optimizing Injection Molding Parameters to Cycle Time of Bioring Cone Cup Products with Taguchi Method

Farizi Rachman, Bayu Wiro Karuniawan, Ika Pramestiani, Noorman Rinanto

Abstract

At the Sukodono molding company which produces Bioring cone cups using injection molding machines, a trial and error process to obtain parameter setting values on the machine is still applied in the early stages of production. This problem is detrimental to the company because they have to bear the production burden due to production delays. A solution is needed to optimize injection parameters with cycle time response. Therefore, this study proposes an analysis of the application of the Taguchi method by utilizing the signal for noise ratio to determine the influence of factors and also to optimize parameter such as temperature, pressure, and cooling time for the production process. The trial results show that the ideal blend of factors includes injection pressure parameters at level 1 with a value of 80 bar, injection temperature at level 2 in value of 225°C, and cooling time in level one with a value of 0.1 seconds.

Keywords

Cooling Time; Injection Pressure; Injection Temperature

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References

Abel, A Barnabas; A, Oyentunji; S, O Seidu; Adeolu , A Adediran; Emmanuel, Igbafen (2019). Optimization of Parameters of Antimony Modified Carbidic Austempered Ductile Iron (CADI) using Taguchi Method. Cogent Engineering, 6:1.

Alicia, B. R.-Y., Yaileen , M. M.-V., & Mauricio, C.-R. (2014). Simulation-based process windows simultaneously considering two and three conflicting criteria in injection molding. Production & Manufacturing Research Vol. 2, No. 1 (pp. 603–623). Taylor and Francise.

Chen, D. C., Jhang, J. J., & Guo, M. W. (2013). Application of Taguchi design method to optimize the electrical discharge machining. Journal of Achievements in Materials and Manufacturing, 76-82.

Chen, W. C., Nguyen, M. H., Chiu, W. H., Chen, T. N., & Tai, P. H. (2016). Optimization of the plastic injection molding process using the Taguchi method, RSM, hybrid GA-PSO. International Journal of Advanced Manufacturing Technology, 83, (pp. 1873-1886).

Feng, Q., & Zhou, X. (2019). Automated and robust multi-objective optimal design of thin-walled product injection process based on hybrid RBF-MOGA. The International Journal of Advanced Manufacturing Technology, 101, 2217-2231.

Guan, Y. L., Wei, J. S., Feng, J. C., Chen, H. C., Ren, H. T., Sheng, J. W., et al. (2023). Optimize Injection Molding Process Parameters and Build an Adaptive Process Control Systems Based on Nozzle Pressure Profile and Clamping Force. Journal Polymers Vol.15.

Gupta, M. K., Mia, M., Pruncu, C. I., Khan, A. M., Rahman, M. A., Jamil, M., et al. (2020). Modeling and performance evaluation of Al2O3 MoS2 and graphite nanoparticle-assisted MQL inturning titanium alloy: An intelligent approach. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 42(4), 1-21.

Gurmet, S., Vivek, J., & Dheeraj, G. (2017). Multi-objective Performance Investigation of Orthopedic Bone Drilling using Taguchi Membership function. Journal of Engineering in Medicine Vol. 231, issue 12.

Karuniawan, B. W., Rachman, F., & Setiawan, A. A. (2019). Optimasi Parameter Mesin Fused Deposition Modelling (FDM) terhdap Kekasaran Permukaan Prouk Menggunakan Metode Taguchi. Jurnal Techno Bahari, Volume 6, Nomor 2.

Kashyap, S., & Datta, D. (2015). Process parameter optimization of plastic injection molding. International Journal of Plastics Technology, 19(1), (pp. 1-18).

Khamis, S. Z., Othman, M. H., Hasan, S., Main, N. M., Masrol, S. R., Shaari, M. F., et al. (2019). Multiple Responses Optimisation in Injection Moulding Parameter for Polypropylene-Nanoclay-Gigantochloa Scortechinii via Taguchi Method. Journal of Physics: Conference Series.

Kitayama, S., Ishizuki, R., Takano, M., Kubo, Y., & Aiba, S. (2019). Optimization of Mold Temperature Profile and Process Parameters for Weldline Reduction and Short Cycle Timein Rapid Heat Cycle Molding. The International Journal of Advanced Manufacturing Technology, 103, 1735-1744.

Li , K., Yan, S., Zhong, Y., Pan, W., & Zhao, G. (2019). Multi Objective Optimization of the Fiber-Reinforced Composite Injection Molding Process Using Taguchi Method, RSM, and NSGA-IIhod, R. Simulation Modelling Practice and Theory Vol.91, 69-82.

Li, J., Zhao, C., Jia, F., Li, S., Ma, S., & Liang, J. (2023). Optimization of Injection Parameters Process Parameters for the Lining of IV Hydrogen Storage Cylinder.

Lopez, A., Aisa, J., Martinez, A., & Mercado, D. (2016). Injection Molding parameters influence on weight quality of complex parts by mens of DOE application. Measurement, Volume 90, 349-356.

Maden, H., & Cetinkaya, K. (2022). Production of The Design Developed to Assembly Filter Parts, Optimization of Welding and Field Test. Strojniski Vestnik-Journal of Mechanical Engineering, 657-668.

Qazi, M. J., Tufail, H., Sahar, N., Muhammad , A., Shakir, A., & Qazi, M. Y. (2020). Multi Response Optimization of injection molding process parameters of polystirene and polypropylene to minimize surface roughness and shrinkage's using integrated approach of S/N Ratio and Composite Desirability Function. Cogent Engineering.

Saad, M. M., Hanafy, M. O., & Fahad, A. A.-M. (2019). Experimental-Based Multi-objective Optimization of Injection Molding Process Parameters. Arabian Journal for Science and Engineering, 7653-7665.

Singh, G., & Verma, A. (2017). A Brief Review on Injection molding manufacturing process. Materials Toda. Materials Today: Proceedings 4(2) (pp. 1423-1433). https://doi.org/10.1016/j.matpr.2017.01.164.

Singh, G., Pradhan, M. K., & Verma, A. (2018). Multi Response Optimzation of Injection Molding Process Parameters to Reduce Cycle Time and Warpage. Materials Today: Proceedings, 5(2), 8398-8405.

Wang, M. W., Arifin, F., & Huang, J. Y. (2019). OPTIMIZATION OF THE MICRO MOLDING OF A BICONCAVE STRUCTURE. International Journal of Technology 10(2), 269-279.

DOI: http://dx.doi.org/10.12962/j25481479.v8i3.18544