Numerical modeling of non-woven fiber mats: Their effective mechanical and electrical properties

Tuncer, Enis; l’Abee, Roy

doi:10.1142/s2047684115500116

Cited by 7 publications

(4 citation statements)

References 16 publications

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“…Due to the different simulating and hardware configuration of the workstations, the specific simulation strategy should be determined also according to the actual situation. For simulation experiments where the accuracy requirements are not very high, following simulation conditions are also worth recommending due to low computational cost: Length of the fibers as variable and radius fixed as constant Box size = 450 um Periodic boundary conditions…”

Section: Resultsmentioning

confidence: 99%

A Study of Finite Size Effects and Periodic Boundary Conditions to Simulations of a Novel Theoretical Self‐Consistent Mean‐Field Approach

Yang

Nilsson

Schubert

2019

Macro Theory & Simulations

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In a previous work, a very promising mathematical model for predicting the electrical conductivity below the electrical percolation threshold, for both isotropic and anisotropic composites, was published by Schubert. In this work, periodic boundary condition of the simulation is utilized. The results are also compared to the previous work and other theoretical models. The truncated fibers due to finite size of the simulation volume are considered as two individual pieces so that the real aspect ratios will also be taken into consideration. A comparison is made between two groups, in which the length and the radius of the carbon fibers are changed, respectively, under certain aspect ratios. With three different sizes of the simulation volumes, the influence on the results due to the finite size effect is calculated.

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Section: Resultsmentioning

confidence: 99%

A Study of Finite Size Effects and Periodic Boundary Conditions to Simulations of a Novel Theoretical Self‐Consistent Mean‐Field Approach

Yang

Nilsson

Schubert

2019

Macro Theory & Simulations

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“…These results were compared with two experimental data and analyzed with a high degree of accuracy. Enis Tuncer et al [97] also use GeoDict for the optimization of porosity with respect to mechanical and electrical properties. It was concluded that the best range for the required properties is between 0.4- GeoDict generates a 3D model using several inputs.…”

Section: Geodictmentioning

confidence: 99%

Porous Material (Titanium Gas Diffusion Layer) in Proton Exchange Membrane Fuel Cell/Electrolyzer: Fabrication Methods & GeoDict: A Critical Review

et al. 2023

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Proton exchange membrane fuel cell (PEMFC) is a renewable energy source rapidly approaching commercial viability. The performance is significantly affected by the transfer of fluid, charges, and heat; gas diffusion layer (GDL) is primarily concerned with the consistent transfer of these components, which are heavily influenced by the material and design. High-efficiency GDL must have excellent thermal conductivity, electrical conductivity, permeability, corrosion resistance, and high mechanical characteristics. The first step in creating a high-performance GDL is selecting the appropriate material. Therefore, titanium is a suitable substitute for steel or carbon due to its high strength-to-weight and superior corrosion resistance. The second crucial parameter is the fabrication method that governs all the properties. This review seeks to comprehend numerous fabrication methods such as tape casting, 3D printing, freeze casting, phase separation technique, and lithography, along with the porosity controller in each process such as partial sintering, input design, ice structure, pore agent, etching time, and mask width. Moreover, other GDL properties are being studied, including microstructure and morphology. In the future, GeoDict simulation is highly recommended for optimizing various GDL properties, as it is frequently used for other porous materials. The approach can save time and energy compared to intensive experimental work.

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“…Only a few, for instance, the McLachlan equation, can mathematically describe the conductivity over the whole range of possible filler fractions. Additionally, many modeling works have also been suggested to describe the conductivity properties, which have been summarized by Thomassin et al quite well. However, it must be noted that nonanalytical simulation methods, for instance, when Monte Carlo generated model composites are analyzed with either finite element modeling (FEM) or electrical network methods, can, to some extent, also be used to predict the conductivity both below and above the percolation threshold.…”

Section: Introductionmentioning

confidence: 99%

Novel Theoretical Self‐Consistent Mean‐Field Approach to Describe the Conductivity of Carbon Fiber–Filled Thermoplastics: PART II. Validation by Computer Simulation

Yang¹,

Schubert²,

Qu³

et al. 2018

Macro Theory & Simulations

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Conductive Polymer CompositesThe electrical conductivity of polymeric fiber composites is generally strongly dependent on the constituent conductivities, the fiber filler fraction, the fiber aspect ratio, and on the orientation of the fibers. Even though electrically conductive polymer composites are emerging materials of high scientific and commercial interest, accurate mathematical models for describing such materials are rare. A very promising mathematical model for predicting the electrical conductivity below the electrical percolation threshold, for both isotropic and anisotropic composites, is however recently published by Schubert. The shortcomings of that study are that the model includes so far only one predicted parameter and that it is not sufficiently validated. In the current study, finite element modeling is used to successfully validate the model of Schubert for isotropic fiber composites and to accurately determine the predicted parameter. These theoretical predictions are finally compared with experimental conductivity data for isotropic carbon fiber/poly(methyl methacrylate) (PMMA) composites with fiber filler fractions in the range 0-12 vol% and fiber aspect ratios from 5 to 30. The model forecasts, without any adjustable parameters, are satisfactory close to the experimental data.

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Numerical modeling of non-woven fiber mats: Their effective mechanical and electrical properties

Cited by 7 publications

References 16 publications

A Study of Finite Size Effects and Periodic Boundary Conditions to Simulations of a Novel Theoretical Self‐Consistent Mean‐Field Approach

A Study of Finite Size Effects and Periodic Boundary Conditions to Simulations of a Novel Theoretical Self‐Consistent Mean‐Field Approach

Porous Material (Titanium Gas Diffusion Layer) in Proton Exchange Membrane Fuel Cell/Electrolyzer: Fabrication Methods & GeoDict: A Critical Review

Novel Theoretical Self‐Consistent Mean‐Field Approach to Describe the Conductivity of Carbon Fiber–Filled Thermoplastics: PART II. Validation by Computer Simulation

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