Prediction of Material Properties of Ceramic Composite Material by Porous Structure and Porosity Using the Finite Element Method

Lee, Dong Gyu; Kim, Soohyun; Kim, Seyoung; Yu, Ji Haeng; Seong, In Whan

doi:10.1007/s12541-019-00127-8

Cited by 6 publications

(6 citation statements)

References 20 publications

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“…This implies that there exists a significant difference between the material properties of each specimen. Several studies have proven that this is due to differences in the pore microstructures [85].…”

Section: Discussionmentioning

confidence: 99%

“…The symmetry condition was used to reduce the computational time, which allowed expressing only half of the OTM module set in ANSYS. The material properties of each layer were obtained using the data from the material experiments, as detailed in Table 1 of [85].…”

Section: Simulation Suitementioning

confidence: 99%

“…The design variable was set as an input variable, which is expressed as a unit model in Figure 16. The material data from Table 1 of ref [85] were input as the material properties.…”

Section: Simulaton Setupmentioning

confidence: 99%

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Structure Optimization of a High-Temperature Oxygen-Membrane Module Using Finite Element Analysis

et al. 2021

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The oxygen transport membrane (OTM) is a high-density ion-conducting ceramic membrane that selectively transfers oxygen ions and electrons through the pressure differential across its layers. It can operate at more than 800 °C and serves as an economical method for gas separation. However, it is difficult to predict the material properties of the OTM through experiments or analyses because its structure contains pores and depends on the characteristics of the ceramic composite. In addition, the transmittance of porous ceramic materials fluctuates strongly owing to their irregular structure and arbitrary shape, making it difficult to design such materials using conventional methods. This study analyzes the structural weakness of an OTM using CAE software (ANSYS Inc., Pittsburgh, PA, USA). To enhance the structural strength, a structurally optimized design of the OTM was proposed by identifying the relevant geometric parameters.

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Section: Discussionmentioning

confidence: 99%

Section: Simulation Suitementioning

confidence: 99%

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Structure Optimization of a High-Temperature Oxygen-Membrane Module Using Finite Element Analysis

et al. 2021

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“…Finite element (FE) modeling has been used successfully in many studies [26][27][28][29] to predict the individual and cumulative effects of the manufacturing pores in different composite materials. Furthermore, it has the ability to consider the anisotropic nature of the different phases.…”

Section: Introductionmentioning

confidence: 99%

Computational assessment of effect of porosity on thermal conductivity of 3D-printed PEEK/carbon-fiber composite

Alghamdi

2023

Journal of Composite Materials

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The three-dimensional (3D) printing of polymer matrix composites has attracted considerable attention. However, the addition of filler materials to the extruded polymer matrix results in inner voids within the beads along with larger voids, called intervoids, which are generated between the beads during the 3D printing process. These voids degrade the thermal transport properties of 3D-printed polyether ether ketone (PEEK) and PEEK/carbon-fiber composites. The effects of these pores (i.e., their number, size, and location) on the thermal conductivity of 3D-printed PEEK and a PEEK/carbon-fiber composite were investigated using a multiscale finite element approach. The presence of the carbon fibers mitigated the effect of the pores on the thermal conductivity of the PEEK/carbon-fiber composite, particularly along the longitudinal direction. Moreover, the inner voids had a dominant effect on the PEEK and PEEK/carbon-fiber composite. Finally, the orientation of the intervoids had no effect on the thermal conductivity of the printed materials.

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“…Such microstructural changes negatively impact material properties such as the electrical resistivity, elastic and shear moduli, hardness and creep performance. Based on the results of Dong Gyu Lee’s study 10 , it is possible to more easily predict the material properties of ceramic composite materials by the porosity and pore dispersity or adjacency.…”

Section: Introductionmentioning

confidence: 99%

Fractal Analysis in Pore Size Distributions of Different Bituminous Coals

Zhu

Zhang

et al. 2019

Sci Rep

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Coal bumps, coal and gas bursts are currently the main threats to coal mine safety in China. The physical properties of coal are important determining factors for the occurrence of coal bumps or coal and gas bursts. A series of experiments using mercury intrusion porosimetry (MIP), nitrogen adsorption (NA) and carbon dioxide adsorption (CA) were employed to investigate the pore size distributions (PSDs) of bump-prone coal and gas-outburst coal. Considering the influence of coal matrix compressibility on the MIP experimental data, the MIP data should be considered in combination with NA and CA testing data. The dominant pores of gas-outburst coal are different from those of bump-prone coal. The PSDs of coal samples have multifractal characteristics. However, the multifractal characteristics of two types of coal are different. (Answer to question 1, reviewer 2). A comparison of the multifractal parameters indicated that Xin Zhou Yao (XZY) coal samples have a higher spatial heterogeneity and complexity of their pore size distribution, while Zhao Ge Zhuang (ZGZ) coal samples have a lower heterogeneity and pore connectivity, which may hinder smooth gas flow and lead to a localized collection of gas in coal seams.

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Prediction of Material Properties of Ceramic Composite Material by Porous Structure and Porosity Using the Finite Element Method

Cited by 6 publications

References 20 publications

Structure Optimization of a High-Temperature Oxygen-Membrane Module Using Finite Element Analysis

Structure Optimization of a High-Temperature Oxygen-Membrane Module Using Finite Element Analysis

Computational assessment of effect of porosity on thermal conductivity of 3D-printed PEEK/carbon-fiber composite

Fractal Analysis in Pore Size Distributions of Different Bituminous Coals

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