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Polymers
Special Issues
Computational Modeling and Simulation of Polymer Composites
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Computational Modeling and Simulation of Polymer Composites

A special issue of Polymers (ISSN 2073-4360). This special issue belongs to the section "Polymer Physics and Theory".

Deadline for manuscript submissions: closed (5 October 2023) | Viewed by 6378

Special Issue Editor

Prof. Dr. Jan Krmela

E-Mail Website
Guest Editor
Department of Numerical Methods and Computational Modeling, Faculty of Industrial Technologies in Púchov, Alexander Dubček University of Trenčín, Ivana Krasku 491/30, 020 01 Púchov, Slovakia
Interests: composites; polymer; computational modeling; simulation; FEM; ANSYS; tire; testing; specific tests; determination of material parameters; 3D print

Special Issue Information

Dear Colleagues, 

This Special Issue is aimed at publishing original contributions related to the computational modeling and simulation of composites with polymer fiber or composites with a polymer matrix for practical engineering applications. Studies on computational modeling approaches focusing on the material properties of these composites are welcome. Contributions must be focused on the relation of polymer composites to computation using numerical approaches such as the finite element method (FEM) using any software, such as ANSYS, ABAQUS, etc. Contributions may also focus on the optimization of polymer composites (e.g., cord angle optimization), or computational modeling and simulation of the mechanical behavior of polymer composites under load. Topics of interest include the verification of results with experiments, evaluation of results, clarification of novel computational approaches, what has been achieved in relation to practical applications, etc. It is an honor and a pleasure to invite you to contribute to this Special Issue. 

Prof. Dr. Jan Krmela
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Polymers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • polymer composite
  • polymer fiber
  • polymer matrix
  • computational modeling
  • simulation
  • material parameters for computational modeling
  • ANSYS
  • ABAQUS

Published Papers (3 papers)

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Research

15 pages, 7742 KiB  
Article
Simulation of a Composite with a Polyhydroxybutyrate (PHB) Matrix Reinforced with Cylindrical Inclusions: Prediction of Mechanical Properties
by Natalia Gómez-Gast, Juan Andrés Rivera-Santana, José A. Otero and Horacio Vieyra
Polymers 2023, 15(24), 4727; https://doi.org/10.3390/polym15244727 - 17 Dec 2023
Viewed by 1393
Abstract
Biocomposite development, as a sustainable alternative to fossil-derived materials with diverse industrial applications, requires expediting the design process and reducing production costs. Simulation methods offer a solution to these challenges. The main aspects to consider in simulating composite materials successfully include accurately representing [...] Read more.
Biocomposite development, as a sustainable alternative to fossil-derived materials with diverse industrial applications, requires expediting the design process and reducing production costs. Simulation methods offer a solution to these challenges. The main aspects to consider in simulating composite materials successfully include accurately representing microstructure geometry, carefully selecting mesh elements, establishing appropriate boundary conditions representing system forces, utilizing an efficient numerical method to accelerate simulations, and incorporating statistical tools like experimental designs and re-regression models. This study proposes a comprehensive methodology encompassing these aspects. We present the simulation using a numerical homogenization technique based on FEM to analyze the mechanical behavior of a composite material of a polyhydroxybutyrate (PHB) biodegradable matrix reinforced with cylindrical inclusions of flax and kenab. Here, the representative volume element (RVE) considered the geometry, and the numerical homogenization method (NHM) calculated the macro-mechanical behavior of composites. The results were validated using the asymptotic homogenization method (AHM) and experimental data, with error estimations of 0.0019% and 7%, respectively. This model is valuable for predicting longitudinal and transverse elastic moduli, shear modulus, and Poisson’s coefficient, emphasizing its significance in composite materials research. Full article
(This article belongs to the Special Issue Computational Modeling and Simulation of Polymer Composites)
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18 pages, 6571 KiB  
Article
Computer Simulation of Composite Materials Behavior under Pressing
by Khrystyna Berladir, Dmytro Zhyhylii, Jiří Brejcha, Oleksandr Pozovnyi, Jan Krmela, Vladimíra Krmelová and Artem Artyukhov
Polymers 2022, 14(23), 5288; https://doi.org/10.3390/polym14235288 - 3 Dec 2022
Cited by 2 | Viewed by 1973
Abstract
Composite materials have a wide range of functional properties, which is ensured by using various technological methods of obtaining both the matrix or fillers and the composition as a whole. A special place belongs to the composition formation technology, which ensures the necessary [...] Read more.
Composite materials have a wide range of functional properties, which is ensured by using various technological methods of obtaining both the matrix or fillers and the composition as a whole. A special place belongs to the composition formation technology, which ensures the necessary structure and properties of the composite. In this work, a computer simulation was carried out to identify the main dependencies of the behavior of composite materials in the process of the main technological operations of their production: pressing and subsequent sintering. A polymer matrix randomly reinforced with two types of fillers: spherical and short cylindrical inclusions, was used to construct the finite element models of the structure of composites. The ANSYS Workbench package was used as a calculation simulation platform. The true stress–strain curves for tension, Poisson’s ratios, and ultimate stresses for composite materials were obtained using the finite element method based on the micromechanical approach at the first stage. These values were calculated based on the stretching diagrams of the matrix and fillers and the condition of the ideality of their joint operation. At the second stage, the processes of mechanical pressing of composite materials were modelled based on their elastic–plastic characteristics from the first stage. The result is an assessment of the accumulation of residual strains at the stage before sintering. The degree of increase in total strain capability of composite materials after sintering was shown. Full article
(This article belongs to the Special Issue Computational Modeling and Simulation of Polymer Composites)
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16 pages, 3381 KiB  
Article
Parameter Identification of Fractional Index Viscoelastic Model for Vegetable-Fiber Reinforced Composite
by Angel Alexander Rodríguez Soto, José Luís Valín Rivera, Lavinia María Sanabio Alves Borges and Juan Enrique Palomares Ruiz
Polymers 2022, 14(21), 4634; https://doi.org/10.3390/polym14214634 - 31 Oct 2022
Cited by 2 | Viewed by 1289
Abstract
In the present work, parameters for adapting the behavior of the uniaxial three-element viscoelastic constitutive model with integer and fractional index derivatives to the mechanical evolution of an epoxy-composite material reinforced with long random henequen fibers, were determined. Cyclic loading–unloading with 0.1% [...] Read more.
In the present work, parameters for adapting the behavior of the uniaxial three-element viscoelastic constitutive model with integer and fractional index derivatives to the mechanical evolution of an epoxy-composite material reinforced with long random henequen fibers, were determined. Cyclic loading–unloading with 0.1%, 0.2%, 0.3%, …, 1.0% controlled strain and staggered fluency experiments at 5 MPa, 10 MPa, and 15 MPa constant tension were performed in stages, and the obtained data were used to determine and validate the model’s parameter values. The Inverse Method of Identification was used to calculate the parameters, and the Particle Swarm Optimization (PSO) method was employed to achieve minimization of the error function. A comparison between the simulated uniaxial results and the experimental data is demonstrated graphically. There exists a strong dependence between properties of the composite and the fiber content (0 wt%, 9 wt%, 14 wt%, 22 wt%, and 28 wt% weight percentage fiber/matrix), and therefore also of the model parameter values. Both uniaxial models follow the viscoelastic behavior of the material and the fractional index version presents the best accuracy. The latter method was noted to be adequate for determination of the aforementioned constants using non-large experimental data and procedures that are easy to implement. Full article
(This article belongs to the Special Issue Computational Modeling and Simulation of Polymer Composites)
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