Abstract
A case study to determine the influence of injection molding process parameters on part quality is performed. Part quality is evaluated based on deflection rate, volumetric shrinkage, and sink mark depth results. Considered process parameters are mold temperature, melt temperature, injection time, pack time, pack pressure and cooling time. A thin walled butterfly valve flap and a thick walled butterfly valve shaft are analyzed separately. Polypropylene is used as molding material. A design of experiment based on the Taguchi method is generated for both parts and a computer simulation to solve the case matrixes is executed. Relative process parameter influence on each individual quality criteria is determined by analysis of variance. Importance of process temperatures as well as parameter impact dependence on characteristic part shape is reveled.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kc, B., Faruk, O., Agnelli, J.A.M., Leao, A.L., Tjong, J., Sain, M.: Sisal-glass fiber hybrid biocomposite: optimization of injection molding parameters using Taguchi method for reducing shrinkage. Compos. A 83, 152–159 (2016)
Xie, X.C., Lin, C.G., Jia, C.C., Cao, R.J.: Effects of process parameters on quality of ultrafine WC/12Co injection molded compacts. Int. J. Refract Metal Hard Mater. 48, 305–311 (2015)
Sánchez, R., Aisa, J., Martinez, A., Mercado, D.: On the relationship between cooling setup and warpage in injection molding. Measurement 45, 1051–1056 (2012)
Nian, S.-C., Wu, C.-Y., Huang, M.-S.: Warpage control of thin-walled injection molding using local mold temperatures. Int. Commun. Heat Mass Transf. 61, 102–110 (2015)
Shayfull, Z., Sharif, S., Zain, A.M., Saad, R.M., Fairuz, M.A.: Warpage analysis with straight drilled and conformal cooling channels on front panel housing by using Taguchi method. Key Eng. Mater. 594/595, 593 (2014)
Rahim, S.Z.A., Sharif, S., Mohd Saad, R., Nasir, S.M., Zain, A.M.: Improving the quality and productivity of molded parts with a new design of conformal cooling channels for the injection molding process. Adv. Polym. Technol. 35 (2016)
Hsu, F.H., Wang, K., Huang, C.T., Chang, R.Y.: Investigation on conformal cooling system design in injection molding. Adv. Prod. Eng. Manage. 8, 107–115 (2013)
Wang, Y., Yu, K.-M., Wang, C.C.L.: Spiral and conformal cooling in plastic injection molding. Comput. Aided Des. 63, 1–11 (2015)
Packianather, M., Griffiths, C., Kadir, W.: Micro injection moulding process parameter tuning. Procedia CIRP 33, 400–405 (2015)
Kusić, D., Kek, T., Slabe, J.M., Svečko, R., Grum, J.: Test method: the impact of process parameters on test specimen deviations and their correlation with AE signals captured during the injection moulding cycle. Polym. Testing 32, 583–593 (2013)
Brajlih, T., Tasic, T., Drstvensek, I., Valentan, B., Hadzistevic, M., Pogacar, V., et al.: Possibilities of using three-dimensional optical scanning in complex geometrical inspection. Strojniski Vestnik/J. Mech. Eng. 57, 826–833 (2011)
Masato, D., Sorgato, M., Lucchetta, G.: Analysis of the influence of part thickness on the replication of micro-structured surfaces by injection molding. Mater. Des. 95, 219–224 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Gotlih, J., Brezočnik, M., Drstvenšek, I., Karner, T., Gotlih, K. (2019). Influence of Injection Molding Process Parameters on Part Quality. In: Karabegović, I. (eds) New Technologies, Development and Application. NT 2018. Lecture Notes in Networks and Systems, vol 42. Springer, Cham. https://doi.org/10.1007/978-3-319-90893-9_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-90893-9_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-90892-2
Online ISBN: 978-3-319-90893-9
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)