Thermo-chemical modeling and simulation of glass/elium® acrylic thermoplastic resin composites
DENIS Yvan, SIDDIG Nihad, GUITTON Raphael, LE BOT Philippe, DE FONGALLAND Antoine, LECOINTE Damien
download PDFAbstract. The recyclability limitations of wind blades significantly reduce their environmental benefit as a green energy source. Therefore, the use of new and sustainable materials is crucial. The Zero wastE Blade ReseArch project (ZEBRA), led by the French technical research center IRT Jules Verne, is looking to accelerate the industry transition to circular economy by designing and manufacturing the first 100% recyclable wind blades using the thermoplastic resin Elium®, developed by Arkema, with a consortium regrouping: LM Wind Power, Arkema, CANOE, Owens Corning, ENGIE and Suez. In this work, the polymerization kinetics of the reactive thermoplastic resin Elium® was characterized through isothermal and dynamic Differential Scanning Calorimetry (DSC) tests. The experimental curves are fitted to two different models from the literature; then the model parameters are identified and used as input to simulations. One model is selected and evaluated using a PAM-RTM© simulation for pure resin and the infusion of Owens Corning glass/Elium® composites [1]. The numerical results are compared with experimental data collected from Vacuum-assisted resin infusion (VARI) tests with the help of a robust monitoring system [2]. Then the model is used to predict the flow and polymerization behavior for thick and more complex parts.
Keywords
Composites Materials, Polymerization Kinetics, Infusion Simulation, Reactive Resin
Published online 4/19/2023, 8 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: DENIS Yvan, SIDDIG Nihad, GUITTON Raphael, LE BOT Philippe, DE FONGALLAND Antoine, LECOINTE Damien, Thermo-chemical modeling and simulation of glass/elium® acrylic thermoplastic resin composites, Materials Research Proceedings, Vol. 28, pp 313-320, 2023
DOI: https://doi.org/10.21741/9781644902479-34
The article was published as article 34 of the book Material Forming
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
References
[1] N. Han, I. Baran, JSM. Zanjani, O. Yuksel, L. An, R. Akkerman, Experimental and computational analysis of the polymerization overheating in thick glass/Elium® acrylic thermoplastic resin composites, Compos. Part B: Eng. 202 (2020) 108430. https://doi.org/10.1016/j.compositesb.2020.108430
[2] P. le Bot, G. Lebreton, N. Siddig, P. Couarraze, O. Fouché, C. Sébastien, A. de Fongalland, F. Cara, P. Gérard, Anomaly detection during thermoplastic composite infusion: Monitoring strategy through thermal sensors, in Key Engineering Materials, Achievements and Trends in Material Forming 926 (2022) 1423-1436.
[3] SF. Gayot, C. Bailly, T. Pardoen, P. Gérard, F. Van Loock, Processing maps based on polymerization modelling of thick methacrylic laminates, Mater. Des. 196 (2020) 109-170. https://doi.org/10.1016/j.matdes.2020.109170
[4] J. Avenet, A. Levy, JL. Bailleul, S. Le Corre, J. Delmas, Adhesion of high performance thermoplastic composites: Development of a bench and procedure for kinetics identification, Compos. Part A: Appl. Sci. Manuf. 138 (2020) 106054. https://doi.org/10.1016/j.compositesa.2020.106054
[5] N. Boyard, J.L. Bailleul, M.H. Boutaous, Experimental determination and modeling of transformation kinetics, Heat Transfer in Polymer Composite Materials: Forming Processes (2016) 77-119. https://doi.org/10.1002/9781119116288.ch3
[6] T. Srinivas, S. Sivakumar, S.K. Gupta, D.N. Saraf, Free radical polymerizations associated with the trommsdorff effect under semibatch reactor conditions. II: Experimental responses to step changes in temperature, Polym. Eng. Sci. 36 (1996) 311-321. https://doi.org/10.1002/pen.10418
[7] R.G.W. Norrish, E.F. Brookman, The mechanism of polymerization reactions. I. The polymerization of styrene and methyl methacrylate, Proceedings of the Royal Society of London. Series A, Math. Phys. Sci. 171.945 (1939) 147-171.
[8] W. Li, J. Krehl, J.W. Gillespie jr, D. Heider, M. Endrulat, K. Hochrein, M.G. Dunham, C.J. Dubois, Process and performance evaluation of the vacuum-assisted process, J. Compos. Mater. 38 (2004) 1803-1814. https://doi.org/10.1177/0021998304044769
[9] F. Cara, B. Taillet, P. Gérard, Preliminary study of curing kinetics and mechanical characterization of reactive thermoplastic resins with new calorimetric cell mounted on DMA, AIP Conference Proceedings 2113 (2019) 130011. https://doi.org/10.1063/1.5112671
[10] F. Hecht, New development in FreeFem++, J. Numeric. Math. 20 (2012) 251-266. https://doi.org/10.1515/jnum-2012-0013
[11] P. Carlone, F. Rubino, V. Paradiso, F. Tucci, Multi scale modeling and online monitoring of resin flow through dual scale textiles in liquid composite molding process, Int. J. Adv. Manuf. Tehnol. 96 (2018) 2215-2230. https://doi.org/10.1007/s00170-018-1703-9
[12] S. Konstantopoulos, E. Fauster, R. Schlediewski, Monitoring the production of FRP composites: a review of in-line sensing methods, Express Polym. Letter. 8 (2014) 823-840. https://doi.org/10.3144/expresspolymlett.2014.84
[13] G. Tuncol, M. Danisman, A. Kaygar, EM. Sozer, Constraints on monitoring resin flow in the resin transfer molding (RTM) by using thermocouple sensors, Compos. Part A. 38 (2018) 1363-1386. https://doi.org/10.1016/j.compositesa.2006.10.009
[14] P. Carlone, D. Aleksendrić, Soft computing in the design and manufacturing of composite materials, Woodhead publishing (2015) ISBN 9781782421795.