Published December 18, 2024 | Version v1
Conference paper Open

Modeling and Simulation of Curing Cycle of Thermoset Epoxy Resin: Comparison of OpenFOAM solver and licensed simulation software

  • 1. ROR icon Universitat Politècnica de València
  • 2. CETMA
  • 3. Centro di Ricerche Europeo di Tecnologie Design e Materiali

Description

This work introduces a novel approach by modifying an existing solver used to calculate the curing resin process simulation analysis. The laplacianFoam solver was used as the starting point, adding new features to the heat equation and the evolution equation of the resin curing degree. This modification led to the development of a new solver with significantly enhanced capacity. To validate its efficiency, a typical differential scanning calorimetry (DSC) curve of a resin was considered, corroborating the outcome results. Furthermore, a comparison was made between the experimental data results and those from a licensed simulation software, demonstrating the superior performance of the developed solver with over 96% accuracy. This research also presents a more practical approach than the licensed simulation software.

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Additional details

Funding

European Commission
DiMAT - Digital Modelling and Simulation for Design, Processing and Manufacturing of Advanced Materials 101091496

Dates

Accepted
2024-12-18

References

  • Z. ; Zhang et al., "Optimization Model and Strategy for Dynamic Material Distribution Scheduling Based on Digital Twin: A Step towards Sustainable Manufacturing," Sustainability 2023, Vol. 15, Page 16539, vol. 15, no. 23, p. 16539, Dec. 2023, doi: 10.3390/SU152316539. [2] M. Barclift, A. Armstrong, T. W. Simpson, and S. B. Joshi, "CADIntegrated Cost Estimation and Build Orientation Optimization to Support Design for Metal Additive Manufacturing," Proceedings of the ASME Design Engineering Technical Conference, vol. 2A- 2017, Nov. 2017, doi: 10.1115/DETC2017-68376. [3] E. Tyflopoulos and M. Steinert, "A Comparative Study of the Application of Different Commercial Software for Topology Optimization," Applied Sciences (Switzerland), vol. 12, no. 2, p. 611, Jan. 2022, doi: 10.3390/APP12020611/S1. [4] N. Xavier, "Calculating the Aerodynamic Drag Coefficient of a Toyota Avanza Car CAD Model using CFD Analysis," in 2023 31st Southern African Universities Power Engineering Conference (SAUPEC), 2023, pp. 1–5. doi: 10.1109/SAUPEC57889.2023.10057807. [5] W. Ahmed, "Finite Element Analysis of Composite Materials Reinforced with Flawed Nano-Particles," in 2023 IEEE 13th International Conference Nanomaterials: Applications & Properties (NAP), 2023, pp. NEE19-1-NEE19-5. doi: 10.1109/NAP59739.2023.10310988. [6] F. P. Moncayo-Matute, E. Vázquez-Silva, P. G. Peña-Tapia, P. B. Torres-Jara, D. P. Moya-Loaiza, and T. J. Viloria-Ávila, "Finite Element Analysis of Patient-Specific 3D-Printed Cranial Implant Manufactured with PMMA and PEEK: A Mechanical Comparative Study," Polymers 2023, Vol. 15, Page 3620, vol. 15, no. 17, p. 3620, Sep. 2023, doi: 10.3390/POLYM15173620. [7] S. Mittal, M. A. Khan, J. K. Purohit, K. Menon, D. Romero, and T. Wuest, "A smart manufacturing adoption framework for SMEs," Int J Prod Res, vol. 58, no. 5, pp. 1555–1573, Mar. 2020, doi: 10.1080/00207543.2019.1661540. [8] M. M. H. Shahadat, M. Nekmahmud, P. Ebrahimi, and M. Fekete- Farkas, "Digital Technology Adoption in SMEs: What Technological, Environmental and Organizational Factors Influence SMEs' ICT Adoption in Emerging Countries?," Global Business Review, Jan. 2023, doi: 10.1177/09721509221137199/ASSET/IMAGES/LARGE/10.117 7_09721509221137199-FIG3.JPEG. [9] Y. Liu, W. Todd Monroe, J. A. Belgodere, J. W. Choi, M. Teresa Gutierrez-Wing, and T. R. Tiersch, "The emerging role of open technologies for community-based improvement of cryopreservation and quality management for repository development in aquatic species," Anim Reprod Sci, vol. 246, p. 106871, Nov. 2022, doi: 10.1016/J.ANIREPROSCI.2021.106871. [10] S. Khadilkar and M. Margala, "Optimizing open-source FPGA CAD tools," in 2022 IEEE High Performance Extreme Computing Conference (HPEC), 2022, pp. 1–4. doi: 10.1109/HPEC55821.2022.9926347. [11] G. Stavropoulou et al., "Digital Twin Meets Knowledge Graph for Intelligent Manufacturing Processes," Sensors 2024, Vol. 24, Page 2618, vol. 24, no. 8, p. 2618, Apr. 2024, doi: 10.3390/S24082618. [12] G. Stavropoulou et al., "Digital Twin Meets Knowledge Graph for Intelligent Manufacturing Processes," Sensors 2024, Vol. 24, Page 2618, vol. 24, no. 8, p. 2618, Apr. 2024, doi: 10.3390/S24082618. [13] R. Gauvin and M. Chibani, "The Modelling of Mold Filling in Resin Transfer Molding," vol. 1, no. 1, pp. 42–46, 1986, doi: doi:10.1515/217.860042. [14] A. Sherratt, A. G. Straatman, C. T. Degroot, and F. Henning, "Investigation of a Non-Equilibrium Energy Model for Resin Transfer Molding Simulations," Journal of Composites Science 2022, Vol. 6, Page 180, vol. 6, no. 6, p. 180, Jun. 2022, doi: 10.3390/JCS6060180. [15] B. X. Chai et al., "A novel heuristic optimisation framework for radial injection configuration for the resin transfer moulding process," Compos Part A Appl Sci Manuf, vol. 165, p. 107352, Feb. 2023, doi: 10.1016/J.COMPOSITESA.2022.107352. [16] O. V. Semperger, D. Török, and A. Suplicz, "Development and Analysis of an In-Mold Coating Procedure for Thermoplastic Resin Transfer Molding to Produce PA6 Composites with a Multifunctional Surface," Periodica Polytechnica Mechanical Engineering, vol. 66, no. 4, pp. 350–360, Oct. 2022, doi: 10.3311/PPME.21048. [17] V. Buchinger and Z. Sharif Khodaei, "Vacuum assisted resin transfer moulding process monitoring by means of distributed fibre-optic sensors: a numerical and experimental study," Advanced Composite Materials, Sep. 2022, doi: 10.1080/09243046.2021.2001910. [18] M. V. Shah and V. P. Chaudhary, "Experimental and Flow Simulation Study of VARTM Process," Lecture Notes in Mechanical Engineering, pp. 615–621, 2022, doi: 10.1007/978- 981-16-9952-8_52/FIGURES/4. [19] V. R. Tamakuwala, "Manufacturing of fiber reinforced polymer by using VARTM process: A review," Mater Today Proc, vol. 44, pp. 987–993, Jan. 2021, doi: 10.1016/J.MATPR.2020.11.102. [20] A. Ouezgan, E. H. Mallil, and J. Echaabi, "Manufacturing routes of vacuum assisted resin infusion: Numerical investigation," J Compos Mater, vol. 56, no. 21, pp. 3221–3236, Sep. 2022, doi: 10.1177/00219983221111492/ASSET/IMAGES/LARGE/10.117 7_00219983221111492-FIG14.JPEG. [21] M. A. Agwa, S. M. Youssef, S. S. Ali-Eldin, and M. Megahed, "Integrated vacuum assisted resin infusion and resin transfer molding technique for manufacturing of nano-filled glass fiber reinforced epoxy composite," Journal of Industrial Textiles, vol. 51, no. 3, pp. 5113S-5144S, Jun. 2022, doi: 10.1177/1528083720932337/ASSET/IMAGES/LARGE/10.1177 _1528083720932337-FIG18.JPEG. [22] Salman, A. D. Catur, I. M. Septayana, and M. D. Masterawan, "Tensile Strength and Bending Analysis in Producing Composites by Using Vacuum Resin Infusion (VARI) Method for High- Voltage Insulator Application," in 2018 2nd International Conference on Applied Electromagnetic Technology (AEMT), 2018, pp. 39–43. doi: 10.1109/AEMT.2018.8572383.