Thermo-Chemical Modeling and Experimental Validation of Pultruded Glass Fiber Reinforced Composites

Article Preview

Abstract:

This work develops and validates thermo-chemical models for pultrusion of glass fiber–reinforced polyurethane composites on an industrial PulFlex production line. A reduced one-dimensional model combining a calibrated Kamal–Sourour (KS) cure law with an Arrhenius type chemo-rheological viscosity formulation is cross-validated against a three-dimensional ANSYS Composite Cure Simulation using identical material inputs along a three-zone, 0.9144 m heated die. Embedded thermocouples provide in-die temperature histories at 50.8 cm·min⁻¹ for calibration, while additional differential scanning calorimetry (DSC) measurements supply degree of cure (DoC) profiles for independent validation. At the industrial operating speed of 50.8 cm·min⁻¹, the mathematical and ANSYS models both reproduce the measured temperature peak location and exit temperature within a few degrees Celsius and predict a die-exit DoC of approximately 0.95, confirming near-complete curing. Using these calibrated fields as inputs to an analytical pulling-resistance formulation, both models predict comparable pulling force magnitudes and plateau behavior, demonstrating that the simplified 1D framework can capture not only thermo-chemical evolution but also process resistance trends over a range of pulling speeds. The validated 1D model therefore enables efficient exploration of speed–temperature–force tradeoffs for process window design, while the 3D ANSYS model provides a higher-fidelity reference for local gradients and future thermo–chemo–mechanical extensions.

You have full access to the following eBook

Info:

Periodical:

Solid State Phenomena (Volume 387)

Pages:

61-73

Citation:

Online since:

April 2026

Export:

Share:

Citation:

* - Corresponding Author

[1] AM Fairuz, SM Sapuan, ES Zainudin, and CNA Jaafar. Polymer composite manufacturing using a pultrusion process: A review. American Journal of Applied Sciences, 11(10):1798, 2014.

DOI: 10.3844/ajassp.2014.1798.1810

Google Scholar

[2] Nik Poppe, Michael Wilhelm, and Luise Karger. Pultrusion process simulation-modelling of the injection and impregnation chamber. In Proceedings of the 2023 International Conference on Composite Materials, 2023.

Google Scholar

[3] Pierpaolo Carlone, Ismet Baran, Jesper Henri Hattel, and Gaetano Salvatore Palazzo. Computational approaches for modeling the multiphysics in pultrusion process. Advances in Mechanical Engineering, 5:301875, 2013.

DOI: 10.1155/2013/301875

Google Scholar

[4] Segun Isaac Talabi, Jim Tobin, Benjamin Strom, Ian Brownstein, Vlastimil Kunc, and Ahmed Arabi Hassen. Recent and future developments in pultrusion technology with consideration for curved geometries: A review. Composites Part B: Engineering, 283:111678, 2024.

DOI: 10.1016/j.compositesb.2024.111678

Google Scholar

[5] Costa Dias, R.C. Pultrusion of thermoset-based profiles – state of the art regarding materials, process set-ups, process modeling, and process simulation. Doctoral Thesis, Montanuniversität Leoben, Leoben, Austria, February 2020.

Google Scholar

[6] Evgeny Barkanov, Pavel Akishin, Nora L Miazza, and Santiago Galvez. Ansys-based algorithms for a simulation of pultrusion processes. Mechanics of Advanced Materials and Structures, 24(5):377–384, 2017.

DOI: 10.1080/15376494.2016.1191096

Google Scholar

[7] Adam Douglas Freed. Modeling the pultrusion process to obtain low void fraction composites. West Virginia University, 2002.

DOI: 10.33915/etd.1267

Google Scholar

[8] P Akishin, E Barkanov, and A Bondarchuk. Finite element modelling and analysis of conventional pultrusion processes. In IOP Conference Series: Materials Science and Engineering, volume 96, page 012012. IOP Publishing, 2015.

DOI: 10.1088/1757-899x/96/1/012012

Google Scholar

[9] G Ganesan and G Kumaran. An experimental study on the behaviour of gfrp pultruded i beam reinforced with cfrp laminates. International Journal of Advanced Technology and Engineering Exploration, 5(45):232–242, 2018.

DOI: 10.19101/ijatee.2018.545012

Google Scholar

[10] Xiao Lin Liu, IG Crouch, and YC Lam. Simulation of heat transfer and cure in pultrusion with a general-purpose finite element package. Composites Science and Technology, 60(6):857–864, 2000.

DOI: 10.1016/s0266-3538(99)00189-x

Google Scholar

[11] Xueliang Ding, Quanguo He, Qun Yang, Suwei Wang, and Ke Chen. Numerical simulation of impregnation process of reactive injection pultrusion for glass fiber/pa6 composites. Polymers, 14(4):666, 2022.

DOI: 10.3390/polym14040666

Google Scholar

[12] Arindam Mukherji and James Njuguna. An assessment on effect of process parameters on pull force during pultrusion. The International Journal of Advanced Manufacturing Technology, 121(5):3419–3438, 2022.

DOI: 10.1007/s00170-022-09221-0

Google Scholar

[13] Gibson Leonard Batch. Crosslinking free radical kinetics and the pultrusion processing of composites. University of Minnesota, 1989.

Google Scholar

[14] Alexander A Safonov, Pierpaolo Carlone, and Iskander Akhatov. Mathematical simulation of pultrusion processes: A review. Composite Structures, 184:153–177, 2018.

DOI: 10.1016/j.compstruct.2017.09.093

Google Scholar

[15] Claudia Garschke, Patricia P Parlevliet, Christian Weimer, and Bronwyn Louise Fox. Cure kinetics and viscosity modelling of a high-performance epoxy resin film. Polymer Testing, 32(1):150–157, 2013.

DOI: 10.1016/j.polymertesting.2012.09.011

Google Scholar

[16] Ismet Baran, Remko Akkerman, and Jesper H Hattel. Material characterization of a polyester resin system for the pultrusion process. Composites Part B: Engineering, 64:194–201, 2014.

DOI: 10.1016/j.compositesb.2014.04.030

Google Scholar

[17] RP Theriault, TA Osswald, and JM Castro. A numerical model of the viscosity of an epoxy prepreg resin system. Polymer composites, 20(5):628–633, 1999.

DOI: 10.1002/pc.10385

Google Scholar

[18] San Michael Sandberg, Onur Yuksel, Raphael Benjamin Comminal, Mads Rostgaard Sonne, Masoud Jabbari, Martin Larsen, Filip Bo Salling, Ismet Baran, Jon Spangenberg, and Jesper H Hattel. Numerical modeling of the mechanics of pultrusion. In Mechanics of materials in modern manufacturing methods and processing techniques, pages 173–195. Elsevier, 2020.

DOI: 10.1016/b978-0-12-818232-1.00006-0

Google Scholar

[19] Ranjeetkumar Gupta, Daniel Mitchell, Jamie Blanche, Sam Harper, Wenshuo Tang, Ketan Pancholi, Lee Baines, David G Bucknall, and David Flynn. A review of sensing technologies for non-destructive evaluation of structural composite materials. Journal of Composites Science, 5(12):319, 2021.

DOI: 10.3390/jcs5120319

Google Scholar

[20] Helena Rocha, Christopher Semprimoschnig, and João P Nunes. Sensors for process and structural health monitoring of aerospace composites: A review. Engineering Structures, 237:112231, 2021.

DOI: 10.1016/j.engstruct.2021.112231

Google Scholar

[21] Omogbai Oleghe. A predictive noise correction methodology for manufacturing process datasets. Journal of Big Data, 7(1):89, 2020.

DOI: 10.1186/s40537-020-00367-w

Google Scholar

[22] Wilma Polini and Andrea Corrado. Digital twin of composite assembly manufacturing process. International Journal of Production Research, 58(17):5238–5252, 2020.

DOI: 10.1080/00207543.2020.1714091

Google Scholar