Abstract
Thermoforming is a process for the cheap mass-production of thin-walled plastic parts. A sheet of plastic is heated for increased deformability, and then deformed by overpressure into a mold with the end product’s shape. The main drawback is the inhomogeneous wall thickness distribution resulting from the common process. The authors believe that it is possible to improve these inhomogeneities by locally influencing the highly temperature-dependent material strength using directed jets of pressurized air for local cooling. As the high number of potentially influential parameters renders purely experimental parameter studies infeasible, a computational model that couples the flow of the pressurized air with the structural simulation of the deforming plastic is set up. With the combined results of experiments and simulations, a parameter study can be conducted, which allows for an optimization of air flow parameters for a more evenly distributed wall thickness.
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References
ANSYS (R) Academic Research CFD, Release 17.2, Help System, Fluent User’s Guide 10.6.2.5. ANSYS, Inc
Carlone, P., Palazzo, G.S.: Finite element analysis of the thermoforming manufacturing process using the hyperelastic mooney-rivlin model. In: Gavrilova, M., et al. (eds.) International Conference on Computational Science and its Applications (ICCSA 2006). Lecture Notes in Computer Science, vol. 3980, pp. 794–803. Springer, Berlin (2006)
Choo, H.L., Martin, P.J., Harkin-Jones, E.M.A.: Measurement of heat transfer for thermoforming simulations. Int. J. Mater. Form. 1(Suppl. 1), 1027–1030 (2008). https://doi.org/10.1007/s12289-008-0233-7
Dong, Y., Lin, R.J.T., Bhattacharyya, D.: Finite element simulation on thermoforming acrylic sheets using dynamic explicit method. Polym. Polym. Compos. 14(3), 307–328 (2006)
Kayatz, F., Claus, R.: Strömungsoptimiertes Thermoformen—Einfluss von Düsengeometrie und Formdruck auf die Wanddickenverteilung, Verpackungs-Rundschau, pp. 70–71 (2013)
McCool, R., Martin, P.J.: Thermoforming process simulation for the manufacture of deep-draw plastic food packaging. Proc. Inst. Mech. Eng. E J. Process Mech. Eng. 225, 269–279 (2011)
Min, S.C., Zhang, H.Q., Yang, H.-J.: Thermoformed container wall thickness effects on orange juice quality. J. Food Process. Preserv. 35, 758–766 (2011). https://doi.org/10.1111/j.1745-4549.2011.00526.x
VDI e.V. (VDI-GVC): VDI-Wärmeatlas, 11. Auflage. Springer, Berlin (2013). https://doi.org/10.1007/978-3-642-19981-3
Warby, M.K., Whiteman, J.R., Jiang, W.-G., Warwick, P., Wright, T.: FE simulation of thermo-forming processes for polymer sheets. Math. Comput. Simul. 61, 209–218 (2003)
Zuckerman, N., Lior, N.: Impingement heat transfer: correlations and numerical modeling. J. Heat Transf. 127, 544 (2005). https://doi.org/10.1115/1.1861921
Acknowledgements
The IGF project 18536 BG of the Industry Association for Food Technology and Packaging (IVLV) was funded via AiF within the funding program of Collective Industrial Research (IGF) from the German Federal Ministry for Economic Affairs and Energy (BMWi) on the basis of a resolution of the German Bundestag.
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Wagner, S., Münsch, M., Kayatz, F., Majschak, JP., Delgado, A. (2018). Modeling of the Compressed-Air Flow Impact for Thermoforming Simulations. In: Schäfer, M., Behr, M., Mehl, M., Wohlmuth, B. (eds) Recent Advances in Computational Engineering. ICCE 2017. Lecture Notes in Computational Science and Engineering, vol 124. Springer, Cham. https://doi.org/10.1007/978-3-319-93891-2_10
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DOI: https://doi.org/10.1007/978-3-319-93891-2_10
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