Optimization of Nozzle Section in Plastic Injection Moulding Process

Year 2019, , 123 - 130, 30.06.2019

Baris Gurel Osman Ipek Yusuf Basogul Ali Kecebas

https://doi.org/10.17350/HJSE19030000137

Cited By: 1

Abstract

In this study, the thermal analysis and numeric modelling of flow in nozzle of a real plastic injection machine with injection weight of 300 gram were conducted. The nozzle geometry was changed to optimize flow in nozzle for high-density polyethylene HDPE at temperature of 200 °C and injection pressure of 150 MPa. For numeric modelling, the ANSYS Fluent R14 was used. The analysis was made for four different geometries consisting of real system dimension r-NG and others design dimensions NG1, NG2 and NG3 . The results of the analysis showed that the most suitable flow was determined in the third NG3 design. In this geometry, for flow in the nozzle section, rounding was made in the sudden shrinking flow section to give a throat shape and so, the geometry ensuring optimized flow was obtained. As a result, with changing of nozzle geometries of plastic injection machines having different pushing capacities they were used in the industry, the positive results will be able to be obtained.

Keywords

Plastic injection, HDPE, Nozzle, Finite volume method, Optimization

References

• Tadmor Z, Gogos CG. Principles of Polymer Processing, Wiley, New York, USA, 1979.
• Sasmal GP. A finite volume approach for calculation of viscoelastic flow through an abrupt axisymetric contraction. Journal of Non-Newton Fluid Mechanics 56 (1995) 15–47.
• Oktem H, Erzurumlu T, Uzman I. Application of Taguchi optimization technique in determining plastic injection moulding process parameters for a thin-shell part. Materials and Design 28 (2007) 1271–8.
• Chen WC, Fu GL, Tai PH, Deng WJ. Process parameter optimization for MIMO plastic injection moulding via soft computing. Expert Systems with Applications 36 (2009) 1114–22.
• Kurt M, Kamber OS, Kaynak Y, Atakok G, Girit O. Experimental investigation of plastic injection moulding: Assessment of the effects of cavity pressure and mould temperature on the quality of the final products. Materials and Design 30 (2009) 3217–24.
• Chen CP, Chuang MT, Hsiao YH, Yang YK, Tsai CH. Simulation and experimental study in determining injection moulding process parameters fort thin-shell plastic parts via design of experiments analysis. Expert Systems with Applications 36 (2009) 10752–9.
• Kumar A, Ghoshdastidar PS, Muju MK. Computer simulation of transport process during injection mould-filling and optimization of the moulding conditions. Journal of Materials Processing Technology 120 (2002) 438–49. Kuo FCJ, Su TL. Optimization of multiple quality characteristics for polyether ether ketone injection moulding process. Fibers and Polymers 7 (2006) 404–13.
• Shie JR. Optimization of injection moulding process for contour distortions of polypropylene composite components by a radial basis neural network. International Journal of Advanced Manufacturing Technology 36 (2008) 1091–103. Shi F, Lou ZL, Lu JG, Zhang YQ. Optimization of plastic injection moulding process with soft computing operations. International Journal of Advanced Manufacturing Technology 21 (2003) 656–61.
• Lee KS, Lin JC. Design of the runner and gating system parameters for a multi-cavity injection mould using FEM and neural network. International Journal of Advanced Manufacturing Technology 27 (2006) 1089–96.
• Mathivanan D, Parthasarathy NS. Prediction of sink depths using nonlinear modeling of injection moulding variables. International Journal of Advanced Manufacturing Technology 43 (2009) 654–63.
• Das Neogi P. Comparing the predictive ability of T-method and linear regression method. In: Proceedings of the Industrial Engineering Research Conference, Miami, USA, 2009.
• Zhang J, Alexander SM. Fault diagnosis in injection moulding via cavity pressure signals. International Journal of Production Research 46 (2008) 6499–512.
• Barbosa RCN, Campilho RDSG, Silva FJG. Injection mold design for a plastic component with blowing agent. Procedia Manufacturing 17 (2018) 774–782.
• Lau KH, Tse TTM. Enhancement of plastic injection moulding quality through the use of the ABLPC nozzle. Journal of Materials Processing Technology 69 (1997) 55–57.
• Yilmaz O, Kirkkopru K. Template to a method for providing a balanced material output from mould in profile extrusion. In: The fourth Ege Energy Symposium, Izmir, Turkey, 2008.
• Dumitrescu OR, Baker DC, Foster GM, Evans KE. Near infrared spectroscopy for in-line monitoring during injection moulding. Polymer Testing 24 (2005) 367–75.
• Ozdemir K, Kocak C, Cakır MK. Material flow modeling on output head of twin screw extruder for polyamide compound material in extrusion process, In: The sixth Automotive Technologies Congress, Bursa, Turkey, 2012.
• Sardarian M, Mirzaee O, Habibolazadeh A. Mould filling simulation of low pressure injection moulding (LPIM) of alumina: Effect of temperature and pressure. Ceramics International 43 (2017) 28–34.
• Zhuang X, Ouyang J, Li Y, Jiang C, Wang L. A three- dimensional thermal model for viscoelastic polymer melt packing process in injection moulding. Applied Thermal Engineering 128 (2018) 1391–403.
• Zhang H, Fang F, Gilchrist MD, Zhang N. Precision replication of micro features using micro injection moulding: Process simulation and validation. Materials and Design 177 (2019) 107829.
• Wittemann F, Maertens R, Karger L, Henning F. Injection molding simulation of short fiber reinforced thermosets with anisotropic and non-Newtonian flow behavior. Composites Part A: Applied Science and Manufacturing 124 (2019) 105476.
• Versteeg HK, Malalasekera W. An Introduction to Computational Fluid Dynamics the Finite Volume Method, Prentice Hall, New Jersey, USA, 2007.