Simulation and optimization of vacuum assisted resin infusion process for large-sized structures made of carbon fiber-reinforced plastics

Maung, Pyi Phyo; Htet, Tun Lin; Malysheva, G. V.

doi:10.1088/1757-899x/709/2/022041

Cited by 42 publications

(12 citation statements)

References 5 publications

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“…Based on the results obtained, it can be concluded that the errors of the target parameters arise from the simulation complexity of the manufacture of products from composite materials by injection molding methods, requiring the consideration of many factors. The most signifi cant ones are bulk polymerization of the binder and change of its viscosity in the process of compounding and impregnation, the fabric pliability and permeability of the fi brous preform, as demonstrated in papers [12][13][14].…”

Section: Methodsmentioning

confidence: 99%

Application of neural simulation methods for technological parameters identification of composite products injection molding process

Alexandrov¹,

Maxim²,

Andrey³

2020

J Appl Eng Science

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The article presents the research results of technological parameters of composite material products manufacturing by the injection transfer molding method using automated tools of preproduction engineering. For the verifi cation of computer simulation results, experimental studies have been carried out on the injection-molding machine for products from fi brous polymer composite materials. The conducted comparative analysis of calculated and actual values of impregnation technological parameters has led us to the conclusion that for the effective application of the modern software for preproduction engineering of composite products it may be necessary to make a joint correction of the input data used for the calculation obtained from the preliminary independent experimental research of the complex of properties for each used component of the composite material. For the joint correction of the input data used for the calculation and improvement of the effi ciency of automation systems for preproduction engineering of composite products, the concept of the neural simulation tools application for the technological process of composite products manufacturing by injection molding methods has been proposed. For training and testing of the neural model, experimental studies of the impregnation of the products with the surface curvature of the second order have been conducted. The optimization problem was solved by forecasting the front movement of the technical fl uid in the volume of preforms during transfer molding.

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Section: Methodsmentioning

confidence: 99%

Application of neural simulation methods for technological parameters identification of composite products injection molding process

Alexandrov¹,

Maxim²,

Andrey³

2020

J Appl Eng Science

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“…The numerical simulation of the resin infusion process involves the modeling of the resin flow through the reinforcement and the crosslinking reaction of the resin [8]. The resin flow through the fiber reinforcement is modeled by Darcy's law [32]:…”

Section: Mathematical Models For Numerical Simulationmentioning

confidence: 99%

“…The research in composite materials is very active both on the development of multifunctional, nanostructured, or environmentally friendly composite materials and on the technological challenges in fabrication and characterization [6]. Since the production of large, complex, and high-performance FRP structures at low costs is challenging, in recent years, a family of processes, named liquid composite molding (LCM), progressed toward new solutions with the aim of reducing costs and cycle times, thus becoming attractive for aeronautic applications as an alternative to conventional autoclave-based processes [7,8]. In LCM processes, prepregs are replaced by dry fiber preforms, i.e., an assembly of dry fibers plies that have been pre-shaped to the form of the desired product [9,10], which must be impregnated with resin, either via resin transfer molding (RTM), at pressure higher than 1 bar, or liquid resin infusion (LRI), just under vacuum [11,12].…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Study of Vacuum Resin Infusion of Stiffened Carbon Fiber Reinforced Panels

Lionetto

Moscatello

Totaro³

et al. 2020

Materials

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Liquid resin infusion processes are becoming attractive for aeronautic applications as an alternative to conventional autoclave-based processes. They still present several challenges, which can be faced only with an accurate simulation able to optimize the process parameters and to replace traditional time-consuming trial-and-error procedures. This paper presents an experimentally validated model to simulate the resin infusion process of an aeronautical component by accounting for the anisotropic permeability of the reinforcement and the chemophysical and rheological changes in the crosslinking resin. The input parameters of the model have been experimentally determined. The experimental work has been devoted to the study of the curing kinetics and chemorheological behavior of the thermosetting epoxy matrix and to the determination of both the in-plane and out-of-plane permeability of two carbon fiber preforms using an ultrasonic-based method, recently developed by the authors. The numerical simulation of the resin infusion process involved the modeling of the resin flow through the reinforcement, the heat exchange in the part and within the mold, and the crosslinking reaction of the resin. The time necessary to fill the component has been measured by an optical fiber-based equipment and compared with the simulation results.

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“…E3S Web of Conferences 376, 01017 (2023) https://doi.org/10.1051/e3sconf/202337601017 ERSME-2023 Composite materials have high values of specific strength and rigidity, fatigue life, can be operated in a wide temperature range, have a low temperature coefficient of linear expansion, and also have a relatively low density, which greatly expands the technological possibilities of their application [1][2][3][4] and, therefore, the use of composite materials. materials becomes one of the most important factors determining the competitiveness of manufactured products [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Assessment of the stress-strain state of machine structural elements made of polymer composite materials with a hybrid matrix by numerical simulation

Kosenko

Nelyub²,

Зорин³

2023

E3S Web of Conf.

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The expansion of the fields of application of polymer composite materials (PCM) requires the development of their new compositions, structures, and molding methods. One of the most difficult tasks in the design of PCM products is the selection or development of a polymer matrix that meets a number of technological and operational requirements. The addition of components forming an independent conditionally liquid phase to the composition of the PCM matrix makes it possible to change the set of properties of the composite and ensure its high crack resistance. The paper presents the results of evaluating the stress-strain state of model samples of carbon fiber reinforced plastic with an organosilicon polymer material that forms a hybrid matrix with the base material of the binder. Modeling was carried out for cases of using organosilicon material with low and high modulus of elasticity. Also, modeling of a front-end loader bucket made using carbon fiber with the considered hybrid matrix was performed. The simulation results showed that the use of PCM with organosilicon material in the manufacture of a product can significantly reduce its weight and provide a sufficient margin of safety.

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Simulation and optimization of vacuum assisted resin infusion process for large-sized structures made of carbon fiber-reinforced plastics

Cited by 42 publications

References 5 publications

Application of neural simulation methods for technological parameters identification of composite products injection molding process

Application of neural simulation methods for technological parameters identification of composite products injection molding process

Experimental and Numerical Study of Vacuum Resin Infusion of Stiffened Carbon Fiber Reinforced Panels

Assessment of the stress-strain state of machine structural elements made of polymer composite materials with a hybrid matrix by numerical simulation

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