journal article·2025-12

AI-accelerated digital twinning for the online PDE-based control of ISBM processes with recycled PET

William W. Han, Pierre Kerfriden, Laurianne Viora, Christelle Combeaud, Jean-Luc Bouvard, Sabine Cantournet

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OpenAlex topics: Injection Molding Process and Properties · Rheology and Fluid Dynamics Studies · Polymer crystallization and properties

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References (43)

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1. Brandau O (2017) Stretch blow molding, Third edition, William Andrew, an imprint of Elsevier, Amsterdam Boston Heidelberg10.1016/B978-0-323-46177-1.00005-6 ↗
2. Schmidt FM, Agassant JF, Bellet M, Desoutter L (1996) Viscoelastic simulation of PET stretch/blow molding process. J Non-Newton Fluid Mech 64:19–42. https://doi.org/10.1016/0377-0257(95)01420-910.1016/0377-0257(95)01420-9 ↗
3. Schmidt FM, Agassant JF, Bellet M (1998) Experimental study and numerical simulation of the injection stretch/blow molding process. Polym Eng Sci 38:1399–1412. https://doi.org/10.1002/pen.1031010.1002/pen.10310 ↗
4. Menary GH, Tan CW, Armstrong CG, Salomeia Y, Picard M, Billon N, Harkin-Jones EMA (2010) Validating injection stretch-blow molding simulation through free blow trials. Polym Eng Sci 50:1047–1057. https://doi.org/10.1002/pen.2155510.1002/pen.21555 ↗
5. Bordival M, Schmidt FM, Maoult YL, Velay V (2009) Optimization of preform temperature distribution for the stretch-blow molding of PET bottles: infrared heating and blowing modeling. Polym Eng Sci 49:783–793. https://doi.org/10.1002/pen.2129610.1002/pen.21296 ↗
6. Cosson B, Chevalier L, Yvonnet J (2009) Optimization of the thickness of PET bottles during stretch blow molding by using a mesh-free (numerical) method. Int Polym Process 24:223–233. https://doi.org/10.3139/217.221510.3139/217.2215 ↗
7. Cosson B, Chevalier L, Régnier G (2012) Simulation of the stretch blow moulding process: from the modelling of the microstructure evolution to the end-use elastic properties of polyethylene terephthalate bottles. Int J Mater Form 5:39–53. https://doi.org/10.1007/s12289-010-1010-y10.1007/s12289-010-1010-y ↗
8. Nixon J, Menary GH, Yan S (2017) Finite element simulations of stretch-blow moulding with experimental validation over a broad process window. Int J Mater Form 10:793–809. https://doi.org/10.1007/s12289-016-1320-910.1007/s12289-016-1320-9 ↗
9. Luo Y, Chevalier L, Monteiro E, Yan S, Menary G (2020) Simulation of the injection stretch blow molding process: an anisotropic visco-hyperelastic model for polyethylene terephthalate behavior. Polym Eng Sci 60:823–831. https://doi.org/10.1002/pen.2534110.1002/pen.25341 ↗
10. Tan CW, Menary GH, Salomeia Y, Armstrong CG, Picard M, Billon N, Harkin-Jones EMA, Martin PJ, Maheshwari K (2008) Modelling of the injection stretch blow moulding of PET containers via a pressure-volume-time (PV-t) thermodynamic relationship. Int J Mater Form 1(S1):799–802. https://doi.org/10.1007/s12289-008-0296-510.1007/s12289-008-0296-5 ↗
11. Wang T, Xu F, Huo Y, Potier-Ferry M (2018) Snap-through instabilities of pressurized balloons: pear-shaped bifurcation and localized bulging. Int J Non-Linear Mech 98:137–144. https://doi.org/10.1016/j.ijnonlinmec.2017.10.01710.1016/j.ijnonlinmec.2017.10.017 ↗
12. Buckley C, Jones DC (1995) Glass-rubber constitutive model for amorphous polymers near the glass transition. Polymer 36:3301–3312. https://doi.org/10.1016/0032-3861(95)99429-X10.1016/0032-3861(95)99429-X ↗
13. Adams AM, Buckley CP, Jones DP (2000) Biaxial hot drawing of poly(ethylene terephthalate): measurements and modelling of strain-stiffening. Polymer. https://doi.org/10.1016/S0032-3861(98)00834-910.1016/S0032-3861(98)00834-9 ↗
14. Gorlier E, Agassant JF, Haudin JM, Billon N (2001) Experimental and theoretical study of uniaxial deformation of amorphous poly(ethylene terephthalate) above glass transition temperature. Plast Rubber Compos 30:48–55. https://doi.org/10.1179/14658010110154143510.1179/146580101101541435 ↗
15. Luo Y-M, Chevalier L, Utheza F, Monteiro E (2013) Numerical simulation of the thermodependant viscohyperelastic behavior of polyethylene terephthalate near the glass transition temperature: prediction of the self-heating during biaxial tension test. Polym Eng Sci 53:2683–2695. https://doi.org/10.1002/pen.2352210.1002/pen.23522 ↗
16. Quandalle G (2017) Étude et modélisation mécanique de la cristallisation induite par la déformation des polymères: caoutchouc naturel réticulé et PET, Mines Paris - PSL
17. Teng F, Menary G, Malinov S, Yan S, Stevens JB (2022) Predicting the multiaxial stress-strain behavior of polyethylene terephthalate (PET) at different strain rates and temperatures above Tg by using an artificial neural network. Mech Mater 165:104175. https://doi.org/10.1016/j.mechmat.2021.10417510.1016/j.mechmat.2021.104175 ↗
18. Biglione J, Béreaux Y, Charmeau J-Y, Balcaen J, Chhay S (2016) Numerical simulation and optimization of the injection blow molding of polypropylene bottles - a single stage process. Int J Mater Form 9:471–487. https://doi.org/10.1007/s12289-015-1234-y10.1007/s12289-015-1234-y ↗
19. Pinto RS, Silva HM, Duarte FM, Nunes JP, Gaspar-Cunha A (2021) Neuroevolutionary Multiobjective Optimization of Injection Stretch Blow Molding Process in the Blowing Phase. In: Gaspar-Cunha A, Periaux J, Giannakoglou KC, Gauger NR, Quagliarella D, Greiner D (eds) Adv. Evol. Deterministic Methods Des. Optim. Control Eng. Sci. Springer International Publishing, Cham, pp 307–318. https://doi.org/10.1007/978-3-030-57422-2_2010.1007/978-3-030-57422-2_20 ↗
20. Luo Y, Tantchou Yakam G, Charlot R, Chevalier L, Savajano R (2023) In situ adjustment of a visco hyper elastic model for stretch blow molding process simulation of poly-ethylene terephthalate bottles. Polym Eng Sci 63(2023):3066–3082. https://doi.org/10.1002/pen.2642810.1002/pen.26428 ↗
21. L. Viora, M. Combeau, M. Pucci, D. Perrin, P.-J. Liotier, J.-L. Bouvard, C. Combeaud, A Comparative Study on Crystallisation for Virgin and Recycled Polyethylene Terephthalate (PET): Multiscale Effects on Physico-Mechanical Properties, Chemistry and Materials Science, 2023. https://doi.org/10.20944/preprints202307.0142.v110.20944/preprints202307.0142.v1 ↗
22. Brouwer MT, Alvarado Chacon F, van Thoden Velzen EU (2020) Effect of recycled content and rPET quality on the properties of PET bottles, part III: modelling of repetitive recycling. Packag Technol Sci 33:373–383. https://doi.org/10.1002/pts.248910.1002/pts.2489 ↗
23. Le A-D, Gilblas R, Lucin V, Maoult YL, Schmidt F (2022) Infrared heating modeling of recycled PET preforms in injection stretch blow molding process. Int J Therm Sci 181:107762. https://doi.org/10.1016/j.ijthermalsci.2022.10776210.1016/j.ijthermalsci.2022.107762 ↗
24. Rohart V, Combeaud C (2022) Stretchability above glass transition of mechanically recycled poly(ethylene terephtalate), PET. Polymer 257:125218. https://doi.org/10.1016/j.polymer.2022.12521810.1016/j.polymer.2022.125218 ↗
25. Sylvestre N, Bouvard J-L, Derrien M, Monnier X, Combeaud C (2024) Effects of mechanical recycling on PET stretchability. Polymer 307:127256. https://doi.org/10.1016/j.polymer.2024.12725610.1016/j.polymer.2024.127256 ↗
26. Nait-Ali LK, Colin X, Bergeret A (2011) Kinetic analysis and modelling of PET macromolecular changes during its mechanical recycling by extrusion. Polym Degrad Stab 96:236–246. https://doi.org/10.1016/j.polymdegradstab.2010.11.00410.1016/j.polymdegradstab.2010.11.004 ↗
27. Lecomte HA, Liggat JJ (2006) Degradation mechanism of diethylene glycol units in a terephthalate polymer. Polym Degrad Stab 91:681–689. https://doi.org/10.1016/j.polymdegradstab.2005.05.02810.1016/j.polymdegradstab.2005.05.028 ↗
28. Es-haghi MS, Anitescu C, Rabczuk T (2024) Methods for enabling real-time analysis in digital twins: a literature review. Comput Struct 297:107342. https://doi.org/10.1016/j.compstruc.2024.10734210.1016/j.compstruc.2024.107342 ↗
29. Chinesta F, Cueto E, Abisset-Chavanne E, Duval JL, Khaldi FE (2020) Virtual, digital and hybrid twins: a new paradigm in data-based engineering and engineered data. Arch Comput Methods Eng 27:105–134. https://doi.org/10.1007/s11831-018-9301-410.1007/s11831-018-9301-4 ↗
30. Champaney V, Chinesta F, Cueto E (2022) Engineering empowered by physics-based and data-driven hybrid models: a methodological overview. Int J Mater Form 15:31. https://doi.org/10.1007/s12289-022-01678-410.1007/s12289-022-01678-4 ↗
31. Sancarlos A, Cameron M, Le Peuvedic J-M, Groulier J, Duval J-L, Cueto E, Chinesta F (2021) Learning stable reduced-order models for hybrid twins. Data-Centric Eng 2:e10. https://doi.org/10.1017/dce.2021.1610.1017/dce.2021.16 ↗
32. Rodriguez S, Monteiro E, Mechbal N, Rebillat M, Chinesta F (2023) Hybrid twin of RTM process at the scarce data limit. Int J Mater Form 16:40. https://doi.org/10.1007/s12289-023-01747-210.1007/s12289-023-01747-2 ↗
33. Arruda EM, Boyce MC (1993) A three-dimensional constitutive model for the large stretch behavior of rubber elastic materials. J Mech Phys Solids 41(2):389–412. https://doi.org/10.1016/0022-5096(93)90013-610.1016/0022-5096(93)90013-6 ↗
34. Rasmussen CE, Williams CKI (2006) Gaussian processes for machine learning. MIT Press, Cambridge, Mass
35. Salomeia Y, Menary GH, Armstrong CG, Nixon J, Yan S (2015) Measuring and modelling air mass flow rate in the injection stretch blow moulding process. Int J Mater Form 9:531–545. https://doi.org/10.1007/s12289-015-1240-010.1007/s12289-015-1240-0 ↗
36. Sobol IM (1967) On the distribution of points in a cube and the approximate evaluation of integrals. USSR Comput Math Math Phys 7:86–112. https://doi.org/10.1016/0041-5553(67)90144-910.1016/0041-5553(67)90144-9 ↗
37. Chevalier L, Luo YM, Monteiro E, Menary GH (2012) On visco-elastic modelling of polyethylene terephthalate behaviour during multiaxial elongations slightly over the glass transition temperature. Mech Mater 52:103–116. https://doi.org/10.1016/j.mechmat.2012.05.00310.1016/j.mechmat.2012.05.003 ↗
38. Abdi H, Williams LJ (2010) Principal component analysis. WIREs Comput Stat 2:433–459. https://doi.org/10.1002/wics.10110.1002/wics.101 ↗
39. Kerfriden P, Goury O, Rabczuk T, Bordas SPA (2013) A partitioned model order reduction approach to rationalise computational expenses in nonlinear fracture mechanics. Comput Methods Appl Mech Eng 256:169–188. https://doi.org/10.1016/j.cma.2012.12.00410.1016/j.cma.2012.12.004 ↗
40. Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, Blondel M, Prettenhofer P, Weiss R, Dubourg V, Vanderplas J, Passos A, Cournapeau D (2011) Scikit-learn: machine learning in Python. J Mach Learn Res 12:2825–2830
41. Storn R, Price K (1997) Differential Evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces. J Glob Optim 11:341–359. https://doi.org/10.1023/A:100820282132810.1023/A:1008202821328 ↗
42. Maday Y, Patera AT, Penn JD, Yano M (2015) A parameterized-background data-weak approach to variational data assimilation: formulation, analysis, and application to acoustics. Int J Numer Methods Eng 102:933–965. https://doi.org/10.1002/nme.474710.1002/nme.4747 ↗
43. Girolami M, Febrianto E, Yin G, Cirak F (2021) The statistical finite element method (statFEM) for coherent synthesis of observation data and model predictions. Comput Methods Appl Mech Eng 375:113533. https://doi.org/10.1016/j.cma.2020.11353310.1016/j.cma.2020.113533 ↗