On-Line Quality Control in the Injection Molding Machine for the Process Statistic of Thermoplastics Material

Abstract:

In this paper, the on-line quality control feature of the injection molding machine based on the statistical process of thermoplastics product has been developed. The optimal process begins with collecting data and setting up the parameter of the injection machine according to the design of experiment. Four control parameters are set up on Demag Ergotech 200-840 Dragon. A series of tests using a body-outdoor led lamp has been conducted by means of both approaches simulation-based and experimental-based by which is injected using two-cavity injection mold. In simulation mode, clamping force and total weight were assigned as final responses, while total weight only is used as a response in experiment mode. The molded-parts were validated using thirty samples that are divided into a three-batch production process. The application of the on-line statistical quality check feature in the injection molding machine can be used as a quality control method by setting up barrel temperature, screw-back position, injection speed, and injection pressure.

• Periodical: Applied Mechanics and Materials (Volume 912)
• Pages: 37-44
• DOI: https://doi.org/10.4028/p-473pwg
• Online since: February 2023
• Authors: Riona Ihsan Media*
• Keywords: Injection Molding, Quality Control Parameter, Statistical Application

References

[1] C. Diduch, R. Dubay, and W. G. Li, Temperature control of injection molding. Part I: Modeling and identification,, Polymer Engineering & Science, vol. 44, no. 12, p.2308–2317, (2004).

DOI: 10.1002/pen.20258

[2] K. Raz and Z. Chval, Influences of pressures and cycle times on properties of final plastic product from HDPE,, 2017, p.1–5.

DOI: 10.1109/icmsc.2017.7959431

[3] R. Sengupta et al., A short review on rubber/clay nanocomposites with emphasis on mechanical properties,, Polymer Engineering & Science, vol. 47, no. 11, p.1956–1974, (2007).

DOI: 10.1002/pen.20921

[4] B. J. A. Tony, S. Karthikeyen, and B. J. A. Alex, Injection Mold Design Parameters Calculation Using Pro/Plastic Advisor for Spur Gear,, Materials Today: Proceedings, vol. 4, no. 10, p.11118–11125, (2017).

DOI: 10.1016/j.matpr.2017.08.075

[5] Z. Longzhi, C. Binghui, L. Jianyun, and Z. Shangbing, Optimization of plastics injection molding processing parameters based on the minimization of sink marks,, 2010, p.593–595.

DOI: 10.1109/mace.2010.5536566

[6] R. Ventura and X. Berjaga, Comparison of multivariate analysis techniques in plastic injection moulding process,, 2015, p.1–6.

DOI: 10.1109/etfa.2015.7301557

[7] M. Khomenko, O. Velihorskyi, R. Chakirov, and Y. Vagapov, Parameters identification of injection plastic moulding heaters,, 2016, p.271–276.

DOI: 10.1109/elnano.2016.7493066

[8] W. Chen, M. Wang, G. Fu, and C. Chen, Optimization of plastic injection molding process via Taguchi's parameter design method, BPNN, and DFP,, 2008, vol. 6, p.3315–3321.

DOI: 10.1109/icmlc.2008.4620978