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An advanced resin reaction modeling using data-driven and digital twin techniques

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Abstract

Elium® resin is nowadays actively investigated to leverage its recycling ability. Thus, multiple polymerization modeling are developed and used. In this work, we investigate the polymerization of Elium®/Carbon fiber composite in a cylindrical deposition, followed by an in-oven heating. The model parameters are optimized using an active-set algorithm to match the experimental heating profiles. Moreover, the simulation efforts are coupled to an artificial intelligence modeling of the discrepancies. For instance, a surrogate model using convolution recurrent neural network is trained to reproduce the error of the simulation. Later, a digital twin of the process is built by coupling the simulation and the machine learning algorithm. The obtained results show a good match of the experimental results even on the testing sets, never used during the training of the surrogate model. Finally, the digital twin results are post-processes to investigate the resin polymerization through the thickness of the part.

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Acknowledgements

This work was proposed in the framework of the E2S UPPA AWESOME Chair. The authors would like to thank the Chair partners (E2S UPPA, ARKEMA and CANOE) for funding their work.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Notre Dame University-Louaize, PO Box 72, Zouk Mosbeh, Lebanon

    Chady Ghnatios

  2. Groupement de Recherche de Lacq, Arkema, Route Departementale 817, BP 34, 64170, Lacq, France

    Pierre Gérard

  3. TUniversite de Pau et des Pays de l’Adour, E2S UPPA, CNRS, IPREM, Pau, France

    Anais Barasinski

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  1. Chady Ghnatios
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  2. Pierre Gérard
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  3. Anais Barasinski
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Correspondence to Chady Ghnatios.

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Appendix: Polymerization material properties

Appendix: Polymerization material properties

In this section we review the used properties of the polymerized composite material, as illustrated in Table 5. For detailed explanation on the used polymerization and heat generation model please refer to reference [26], Appendix A.

Table 5 Material and simulation properties used in for optimization problem detailed in “Resin polymerization model and simulation”
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Ghnatios, C., Gérard, P. & Barasinski, A. An advanced resin reaction modeling using data-driven and digital twin techniques. Int J Mater Form 16, 5 (2023). https://doi.org/10.1007/s12289-022-01725-0

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