Determination of The Best Injection Stretch Blow Molding Process Parameters in Polyethylene Terephthalate Bottle Service Performance

Year 2022, Volume: 35 Issue: 4, 1297 - 1316, 01.12.2022

Fatih Akkurt , Bilal Demirel , İpek Adeviye Usal , Ercan Şenyiğit

https://doi.org/10.35378/gujs.704371

Cited By: 4

https://izlik.org/JA62KB76ZT

Abstract

Polyethylene terephthalate (PET) bottles which are thermoplastic materials are used very commonly for the storage and transport of carbonated beverages. The most used production method for PET bottles is the Injection Stretch Blow Molding (ISBM) process. There is a variety of parameters affecting the produced PET bottles’ performances. Amongst these parameters, stretch rod movement, blowing pressure and preform surface temperature are the most important ones. Assignation of the optimal design parameters in PET bottles is taken into account. The effects of the parameters such as Preform Temperature (°C), Stretch Rod Position (mm) and Final Pressure (Bar) were analysed with the Taguchi method (TM), Grey relational analysis (GRA) and ECHIP. Body-weight (gr) (R1), Top Load (Pa) (R2), Burst Pressure (Bar) (R3), Stress Crack Resistance (Min.) (R4) and Tg (oC) (R5) were consiedered as performance parameters. The experimental design proposed by Taguchi involves using orthogonal arrays. An L9 orthogonal array was chosen for the procedure. Primarily, the performance parameters were optimized with the ECHIP Design of the Experiment (DOE). Thereafter, all of the factors were optimized together with TM, GRA and ECHIP.

Keywords

PET , ISBM , Taguchi , Grey relational analysis

Supporting Institution

Erciyes University

Project Number

FYL-2016-6999

References

• [1] Demirel, B., Daver, F., Yaraş, A., “Simulation of stress distribution in the base of pet bottles under different processing conditions”, 6th International Advanced Technologies Symposium, Elazığ, 1-5, (2011).
• [2] Demirel, B., Daver, F., Kosior, E., “Petaloid bases of PET bottles: Design and process optimisation against environmental stress cracking”, SPE ANTEC, Cincinnati, 2159-2164, (2007).
• [3] McEvoy, J. P., Armstrong, C. G., Crawford, R. J., “Simulation of the stretch blow molding process of PET bottles”, Advances in Polymer Technology, 17: 339-352, (1998).
• [4] Martin, L., Stracovsky, D., Laroche, D., Bardetti, A., Ben-Yedder, R., Di Raddo, R., “Modelling and experimental validation of the stretch blow molding of PET”, SPE ANTEC, New York, 982-987, (1999).
• [5] Yang, Z. J., Jones, E. H., Menary, G. H., Armstrong, C. G., “A non-isothermal finite element model for injection stretch-blow molding of PET bottles with parametric studies”, Polymer Engineering and Science, 44: 1379-1390, (2004).
• [6] Hanley, T., Sutton, D., Cookson, D., Koisor, E., Knott, R., “Molecular morphology of petaloid bases of PET bottles: a small-angle X-ray scattering study”, Journal of Applied Polymer Science, 99: 3328-3335, (2006).
• [7] Demirel, B., “Optimization of mold surface temperature and bottle residence time in mold for carbonated soft drink PET containers”, Polymer Testing, 60: 220-228, (2017).
• [8] Monteix, S., Schmidt, F., Le Maoult, Y., Ben Yedder, R., Diraddo, R. W., Laroche, D., “Experimental study and numerical simulation of preform or sheet exposed to infrared radiative heating”, Journal of Materials Processing Technology, 119: 90-97, (2011).
• [9] Jabarin, S. A., “Optical properties of thermally crystallized poly(ethylene terephthalate)”, Polymer Engineering and Science, 22: 815-820, (1982).
• [10] Salem, D. R., “Microstructure development during constant-force drawing of poly(ethylene terephthalate) film”, Polymer, 39: 7067-7077, (1998).
• [11] Miller, M. L., “The Structure of Polymers”, Reinhold Publishing Corp., New York, (1966).
• [12] Collins, E. A., Bares, J., Billmeyer, F. W., “Experiments in Polymer Science”, John Wiley and Sons, New York, (1973).
• [13] Wang, S., Makinouchi, A., Nakagawa, T., “Three-Dimensional viscoplastic FEM simulation of a stretch blow molding process”, Advances in Polymer Technology, 17: 189-202, (1998).
• [14] Lebaudy, P., Grenet, J., “Heating simulation of multilayer preforms”, Journal of Applied Polymer Science, 80: 2683-2689, (2001).
• [15] Zagarola, S. W., “Designing PET preform injection molding process for the lightest practical weight offers opportunities for improved productivity and quality”, SPE ANTEC, Atlanta, 606-610, (1998).
• [16] Senyigit, E., Düğenci, M., Aydin, M. E., Zeydan, M., Heuristic-based neural networks for stochastic dynamic lot sizing problem”, Applied Soft Computing, 13(3): 1332–1339, (2013).
• [17] Babayigit, B., Senyigit, E., “Design optimization of circular antenna arrays using Taguchi method”, Neural Computing and Applications, 28(6): 1443-1452, (2017).
• [18] Babayiğit, B., Şenyiğit, E., “Application of the Taguchi Method to the Design of Circular Antenna Arrays”, 9th International Conference on Electrical and Electronics Engineering (ELECO), Bursa, Türkiye, 342-345, (2015).
• [19] Ball, A. K., Das, R., Roy, S. S., Kishu, D. R., Murmu, N. C., “Experimentation modelling and optimization of electrohydrodynamic inkjet microfibration approach: a Taguchi regression analysis”, Sadhana, 44: 167, (2019).
• [20] Nguyen, T.-T., Duong, Q.-D., “Optimization of WEDM process of mould material using Kriging model to improve technological performances”, Sadhana, 44: 154, (2019).
• [21] Adhikary, S., Sekhar, H., Thakur, D. G., “Optimisation of density of infra-red decoy flare pellets by Taguchi method”, Sadhana, 44: 160, (2019).
• [22] Gunes, S., Manay, E., Senyigit, E., Ozceyhan, V., “Taguchi approach for optimization of design parameters in a tube with coiled wire inserts”, Applied Thermal Engineering, 31(14-15): 2568–2577, (2011).
• [23] Yildiz, Y. Ş., Şenyiğit, E., İrdemez, Ş., “Optimization of Specific Energy Consumption for Bomaplex Red Cr-L Dye Removal From Aqueous Solution by Electrocoagulation Using Taguchi-Neural Method”, Neural Computing and Applications, 23(3-4): 1061-1069, (2013).
• [24] Babayiğit, B., Şenyiğit, E., Mumcu, G., “Optimum broadband E-patch antenna design with Taguchi method”, Journal of Electromagnetic Waves and Applications, 30: 915-927, (2016).
• [25] Celik, N., Pusat, G., Turgut, E., “Application of Taguchi method and grey relational analysis on a turbulated heat exchanger”, International Journal of Thermal Sciences, 124: 85-97, (2018).
• [26] Nelabhotla, D. M., Jayaraman, T. V., Asghar, K., Das, D., “The optimization of chemical mechanical planarization process-parameters of c-plane gallium-nitride using Taguchi method and grey relational analysis”, Materials and Design, 104: 392-403, (2016).
• [27] Gunes, S., Senyigit, E., Karakaya, E., Ozceyhan, V., “Optimization of heat transfer and pressure drop in a tube with loose-fit perforated twisted tapes by Taguchi method and grey relational analysis”, Journal of Thermal Analysis and Calorimetry, 136(4): 1795-1806, (2019).
• [28] Demirel, B., Daver, F., “The effects on the properties of PET bottles of changes to bottle-base geometry”, Journal of Applied Polymer Science, 114: 3811-3818, (2009).
• [29] Mehta, A., Gaur, U., Wunderlich, B., “Equilibrium melting parameters of poly (ethylene terephthalate”, Journal of Polymer Science: Polymer Physics Edition, 16: 289-296, (1978).
• [30] Demirel, B., “Optimisation of Petaloid Base Dimensions and Process Operating Conditions to Minimise Environmental Stress Cracking in Injection Stretch Blow Molded Pet Bottles”, Ph.D. Thesis, RMIT University, Australia, (2008).
• [31] Brocka, Z., Schmactenberg, E., Ehrenstein, G. W., “Radiation Cross Linking Engineering Thermoplastic for Tribological Applications”, SPE ANTEC, Cincinnati, 1690-1694, (2007).
• [32] Üstüntağ, S., Şenyiğit, E., Mezarcıöz, S., Türksoy, H. G., “Optimization of coating process conditions for denim fabrics by taguchi method and grey relational analysis”, Journal of Natural Fibers, 1–15, (2020). DOI:10.1080/15440478.2020.1758866
• [33] Soutis, C., “Fibre reinforced composites in aircraft construction”, Progress in Aerospace Sciences, 41(2): 143–51, (2005).