Experimental validation of a new adaptable LCM mold filling software

References

• Strong AB. Fundamentals of composites manufacturing, second edition: materials, methods and applications. Dearborn, Michigan: Society of Manufacturing Engineers; 2008.
   Google Scholar
• Niu MCY. Composite airframe structures: practical design information and data. Hong Kong: Conmilit Press Ltd.; 1992.
   Google Scholar
• May D, Aktas A, Advani SG, et al. In-plane permeability characterization of engineering textiles based on radial flow experiments: a benchmark exercise. Compos Part A Appl Sci Manuf. 2019;121:100–114. doi: 10.1016/j.compositesa.2019.03.006.
   Web of Science ®Google Scholar
• Neitzel N, Mitschang P, Breuer U. Handbuch verbundwerkstoffe, 2., aktualisierte und erweiterte auflage. München: Carl Hanser Verlag; 2014.
   Google Scholar
• Bickerton S, Abdullah MZ. Modeling and evaluation of the filling stage of injection/compression moulding. Compos Sci Technol. 2003;63(10):1359–1375. doi: 10.1016/S0266-3538(03)00022-8.
   Web of Science ®Google Scholar
• Stieber S, Heber L, Obertscheider C, et al. Control of RTM processes via deep reinforcement learning. [accessed 2023 Nov 16]. Available from: https://www.researchgate.net/publication/367191417
   Google Scholar
• Seuffert J, Kärger L, Henning F. Simulating mold filling in compression resin transfer molding (CRTM) using a three-dimensional finite-volume formulation. J Compos Sci. 2018;2(2):23. doi: 10.3390/jcs2020023.
   Google Scholar
• Sebastian RG, Obertscheider C, Fauster E, et al. Equation for modelling energy transfers in multi-phase flows through porous media, optimised for liquid composite moulding processes. Int J Heat Mass Transf. 2021;181:121856. doi: 10.1016/j.ijheatmasstransfer.2021.121856.
   Web of Science ®Google Scholar
• Barandun G, Henne M, Giger E, et al. MyRTM: an approach for the simulation of resin transfer moulding (RTM) processes based on cellular automata. In: Eberhardsteiner J, et al., editors, ECCOMAS 2012 - European Congress on Computational Methods in Applied Sciences and Engineering; 2012 Sep 10–14; Vienna; 2012.
   Google Scholar
• myRTM. myRTM - Software for simulating the RTM process. [accessed 2023 Nov 16]. Available from: https://www.myrtm.ch
   Google Scholar
• Obertscheider C, Fauster E. RTMsim - a Julia module for filling simulations in resin transfer moulding with the finite area method. JOSS. 2023;8(84):4763. doi: 10.21105/joss.04763.
   Google Scholar
• Isoldi LA, Oliveira CP, Rocha LAO, et al. Three-dimensional numerical modeling of RTM and LRTM processes. J Braz Soc Mech Sci Eng. 2012;34(2):105–111. doi: 10.1590/S1678-58782012000200001.
   Web of Science ®Google Scholar
• Simacek P, Advani SG. Desirable features in mold filling simulations for liquid composite molding processes. Polym Compos. 2004;25(4):355–367. doi: 10.1002/pc.20029.
   Web of Science ®Google Scholar
• Sirtautas J, Pickett AK, George A. Materials characterisation and analysis for flow simulation of liquid resin infusion. Appl Compos Mater. 2015;22(3):323–341. doi: 10.1007/s10443-014-9411-6.
   Web of Science ®Google Scholar
• Tucker C. Governing equations for flow and heat transfer in stationary fiber beds. In: Advani SG, editor. Flow and rheology in polymer composites manufacturing. Amsterdam: Elsevier; 1994. p. 257–323.
   Google Scholar
• Nield DA, Bejan A. 2006. Convection in porous media. New York: Springer.
   Google Scholar
• Advani SG. 1994. Flow and rheology in polymer composites manufacturing. Amsterdam: Elsevier.
   Google Scholar
• Versteeg HK, Malalasekera W. 2007. An introduction to computational fluid dynamics: the finite volume method. Harlow, England: Pearson Education Limited.
   Google Scholar
• NASTRAN. NASA STRuctrual ANalysis (NASTRAN). [accessed 2023 Nov 16]. Available from: https://software.nasa.gov/software/LAR-16804-GS
   Google Scholar
• Courant R, Friedrichs K, Lewy H. Über die partiellen differenzengleichungen der mathematischen physik. Math Ann. 1928;100(1):32–74. doi: 10.1007/BF01448839.
   Google Scholar
• Grössing H, Stadlmajer N, Fauster E, et al. Flow front advancement during composite processing: predictions from numerical filling simulation tools in comparison with real-world experiments. Polym Compos. 2016;37(9):2782–2793. doi: 10.1002/pc.23474.
   Web of Science ®Google Scholar
• Fauster E, Berg DC, Abliz D, et al. Image processing and data evaluation algorithms for reproducible optical in-plane permeability characterization by radial flow experiments. J Compos Mater. 2019;53(1):45–63. doi: 10.1177/0021998318780209.
   Web of Science ®Google Scholar
• PAM-RTM. PAM-RTM - liquid composites molding and curing simulation. [accessed 2023 Nov 16]. Available from: https://www.esi.com.au/software/pamrtm/
   Google Scholar