• Title/Summary/Keyword: anisotropic network

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Manipulating Anisotropic Filler Structure in Polymer Composite for Heat Dissipating Materials: A Mini Review (방열소재로의 응용을 위한 고분자 복합소재 내 이방성 필러 구조 제어 연구동향)

  • Seong-Bae, Min;Chae Bin, Kim
    • Composites Research
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    • v.35 no.6
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    • pp.431-438
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    • 2022
  • Efficient heat dissipation in current electronics is crucial to ensure the best performance and lifespan of the devices along with the users' safety. Materials with high thermal conductivity are often used to dissipate the generated heat from the electronics to the surroundings. For this purpose, polymer composites have been attracted much attention as they possess advantages rooted from both polymer matrix and thermally conductive filler. In order to meet the thermal conductivity required by relevant industries, composites with high filler loadings (i.e., >60 vol%) have been fabricated. At such high filler loadings, however, composites lose benefits originated from the polymer matrix. To achieve high thermal conductivity at a relatively low filler loading, therefore, constructing the heat conduction pathway by controlling filler structure within the composites may represent a judicious strategy. To this end, this review introduces several recent approaches to manufacturing heat dissipating materials with high thermal conductivity by manipulating thermally conductive filler structures in polymer composites.

A Study on Chloride ion Diffusion in Cracked Concrete (균열이 발생한 콘크리트에서의 염화물 이온 확산에 관한 연구)

  • 배상운;박상순;변근주;송하원
    • Proceedings of the Korea Concrete Institute Conference
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    • 2001.05a
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    • pp.677-682
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    • 2001
  • In this study, a method to evaluate diffusion coefficient of chloride ion in cracked concrete is proposed. For cracked concrete having either anisotropic or isotropic crack network, each crack of saturated concrete is considered as a V shape crack, and an effective diffusion coefficient is expressed with diffusion coefficients of cracked part and noncracked part and a so-called crack spacing factor. A comparison with experimental results shows that the diffusion coefficient for cracked concrete is accurately predicted by the effective diffusion coefficient. Prediction results also show that the cracks in concrete markedly change the diffusion properties and accelerate penetration of drifting species. The method in this paper can be effectively used to consider the effect of cracks on concrete diffusion coefficient of cracked concrete.

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Photo polymerization-induced Hybrid Alignment of Nematic Liquid Crystal for Roll to Roll Fabrication

  • Kim, Kyoung-Sun;Kwon, Soon-Bum;Lee, Ji-Hoon
    • 한국정보디스플레이학회:학술대회논문집
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    • 2009.10a
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    • pp.623-624
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    • 2009
  • Here we report a photo polymerization-induced hybrid alignment of a nematic liquid crystal cell which can be applied for a roll to roll fabrication process. Predominant polymerization in the vicinity of UV incident front induced a diffusion of monomers toward front slide and anisotropic polymer network was formed parallel to the polarization direction of the UV light. This induced planar alignment of liquid crystals at the front slide. Simultaneously, homeotropic alignment was induced at the bottom slide as the polymers are phase-separated from a bottom slide.

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Estimation of Strength and Deformation Modulus of the 3-D DFN System Using the Distinct Element Method (개별요소법을 이용한 삼차원 DFN 시스템의 강도 및 변형계수 추정)

  • Ryu, Seongjin;Um, Jeong-Gi;Park, Jinyong
    • Tunnel and Underground Space
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    • v.30 no.1
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    • pp.15-28
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    • 2020
  • In this study, a procedure was introduced to estimate strength and deformation modulus of the 3-D discrete fracture network(DFN) systems using the distinct element method(DEM). Fracture entities were treated as non-persistent square planes in the DFN systems. Systematically generated fictitious fractures having similar mechanical characteristics of intact rock were combined with non-persistent real fractures to create polyhedral blocks in the analysis domain. Strength and deformation modulus for 10 m cube domain of various deterministic and stochastic 3-D DFN systems were estimated using the DEM to explore the applicability of suggested method and to examine the effect of fracture geometry on strength and deformability of DFN systems. The suggested procedures were found to effective in estimating anisotropic strength and deformability of the 3-D DFN systems.

Morphological Analysis of Hydraulically Stimulated Fractures by Deep-Learning Segmentation Method (딥러닝 기반 균열 추출 기법을 통한 수압 파쇄 균열 형상 분석)

  • Park, Jimin;Kim, Kwang Yeom ;Yun, Tae Sup
    • Journal of the Korean Geotechnical Society
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    • v.39 no.8
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    • pp.17-28
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    • 2023
  • Laboratory-scale hydraulic fracturing experiments were conducted on granite specimens at various viscosities and injection rates of the fracturing fluid. A series of cross-sectional computed tomography (CT) images of fractured specimens was obtained via a three-dimensional X-ray CT imaging method. Pixel-level fracture segmentation of the CT images was conducted using a convolutional neural network (CNN)-based Nested U-Net model structure. Compared with traditional image processing methods, the CNN-based model showed a better performance in the extraction of thin and complex fractures. These extracted fractures extracted were reconstructed in three dimensions and morphologically analyzed based on their fracture volume, aperture, tortuosity, and surface roughness. The fracture volume and aperture increased with the increase in viscosity of the fracturing fluid, while the tortuosity and roughness of the fracture surface decreased. The findings also confirmed the anisotropic tortuosity and roughness of the fracture surface. In this study, a CNN-based model was used to perform accurate fracture segmentation, and quantitative analysis of hydraulic stimulated fractures was conducted successfully.

A Study of the Dielectric Characteristics of the Low-k SiOCH Thin Films by Ellipsometry (Ellipsometry를 이용한 Low-k SiOCH 박막의 유전특성에 관한 연구)

  • Yi, In-Hwan;Hwang, Chang-Su;Kim, Hong-Bae
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.21 no.12
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    • pp.1083-1089
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    • 2008
  • We studied the dielectric characteristics of low-k SiOCH thin films by Ellipsometry. The SiOCH thin films were prepared by deposition of BTMSM precursors on p-Si wafer by CCP-PECVD method. The nano-porous structural organic/inorganic hybrid-type of SiOCH thin films correlated directly to the formation of low dielectrics close to pore(k=1). The structural groups including highly dense pores in SiOCH thin films originated the anisotropic geometry type of network structure directing to complex refractive characteristics of SiOCH single layer on the p-Si wafer. The linearly polarized beam of Xe-ramp in the range from 190 nm to 2100 nm introduced to the surface of SiOCH thin film, and the reflected beam was Elliptically polarized by complex refractive coefficients of SiOCH dipole groups. The amplitude variation $\Psi$ and phase variation $\Delta$ of the relative reflective coefficients between perpendicular and parallel components to the incident plane were measured by Ellipsometry. The complex optical constants n and k as well as the dielectric constant and thickness of SiOCH thin films were driven by the measured value of $\Psi$ and $\Delta$.

Coupled IoT and artificial intelligence for having a prediction on the bioengineering problem

  • Chunping Wang;Keming Chen;Abbas Yaseen Naser;H. Elhosiny Ali
    • Earthquakes and Structures
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    • v.24 no.2
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    • pp.127-140
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    • 2023
  • The vibration of microtubule in human cells is the source of electrical field around it and inside cell structure. The induction of electrical field is a direct result of the existence of dipoles on the surface of the microtubules. Measuring the electrical fields could be performed using nano-scale sensors and the data could be transformed to other computers using internet of things (IoT) technology. Processing these data is feasible by artificial intelligence-based methods. However, the first step in analyzing the vibrational behavior is to study the mechanics of microtubules. In this regard, the vibrational behavior of the microtubules is investigated in the present study. A shell model is utilized to represent the microtubules' structure. The displacement field is assumed to obey first order shear deformation theory and classical theory of elasticity for anisotropic homogenous materials is utilized. The governing equations obtained by Hamilton's principle are further solved using analytical method engaging Navier's solution procedure. The results of the analytical solution are used to train, validate and test of the deep neural network. The results of the present study are validated by comparing to other results in the literature. The results indicate that several geometrical and material factors affect the vibrational behavior of microtubules.

Highly Sensitive Stretchable Electronic Skin with Isotropic Wrinkled Conductive Network

  • Seung Hwan Jeon;Hyeongho Min;Jihun Son;Tae Kon Ahn;Changhyun Pang
    • Journal of Sensor Science and Technology
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    • v.33 no.1
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    • pp.7-11
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    • 2024
  • Soft-pressure sensors have numerous applications in soft robotics, biomedical devices, and wearable smart devices. Herein, we present a highly sensitive electronic skin device with an isotropic wrinkled pressure sensor. A conductive ink for soft pressure sensors is produced by a solution process using polydimethylsiloxane (PDMS), poly 3-hexylthiophene (P3HT), carbon black, and chloroform as the solvents. P3HT provides high reproducibility and conductivity by improving the ink dispersibility. The conductivity of the ink is optimized by adjusting the composition of the carbon black and PDMS. Soft lithography is used to fabricate a conductive elastic structure with an isotropic wrinkled structure. Two conductive elastic structures with an isotropic wrinkle structure is stacked to develop a pressure sensor, and it is confirmed that the isotropic wrinkle structure is more sensitive to pressure than when two elastic structures with an anisotropic wrinkle structure are overlapped. Specifically, the pressure sensor fabricated with an isotropic wrinkled structure can detect extremely low pressures (1.25 Pa). Additionally, the sensor has a high sensitivity of 15.547 kpa-1 from 1.25 to 2500 Pa and a linear sensitivity of 5.15 kPa-1 from 2500 Pa to 25 kPa.

Effects of Joint Density and Size Distribution on Hydrogeologic Characteristics of the 2-D DFN System (절리의 빈도 및 길이분포가 이차원 DFN 시스템의 수리지질학적 특성에 미치는 영향)

  • Han, Jisu;Um, Jeong-Gi;Lee, Dahye
    • Economic and Environmental Geology
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    • v.50 no.1
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    • pp.61-71
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    • 2017
  • The effects of joint density and size distribution on the hydrogeologic characteristics of jointed rock masses are addressed through numerical experiments based on the 2-D DFN (discrete fracture network) fluid flow analysis. Using two joint sets, a total of 51 2-D joint network system were generated with various joint density and size distribution. Twelve fluid flow directions were chosen every $30^{\circ}$ starting at $0^{\circ}$, and total of 612 $20m{\times}20m$ DFN blocks were prepared to calculate the directional block conductivity. Also, the theoretical block conductivity, principal conductivity tensor and average block conductivity for each generated joint network system were determined. The directional block conductivity and chance for the equivalent continuum behavior of the 2-D DFN system were found to increase with the increase of joint density or size distribution. However, the anisotropy of block hydraulic conductivity increases with the increase of density discrepancy between the joint sets, and the chance for the equivalent continuum behavior were found to decrease. The smaller the intersection angle of the two joint sets, the more the equivalent continuum behavior were affected by the change of joint density and size distribution. Even though the intersection angle is small enough that it is difficult to have equivalent continuum behavior, the chance for anisotropic equivalent continuum behavior increases as joint density or size distribution increases.

Loading Effects on Thermal Conductivity of Soils: Particle-Scale Study (하중 조건이 지반의 열전도도에 미치는 영향: 입자 스케일에서의 연구)

  • Lee, Jung-Hwoon;Choo, Jin-Hyun;Yun, Tae-Sup;Lee, Jang-Guen;Kim, Young-Seok
    • Journal of the Korean Geotechnical Society
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    • v.27 no.9
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    • pp.77-86
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    • 2011
  • The stress condition mainly dominates the thermal conductivity of soils whereas governing factors such as unit weight and porosity suggested by empirical correlations are still valid. The 3D thermal network model enables evaluation of the stress-dependent thermal conductivity of particulate materials generated by discrete element method (DEM). The relationship among dominant factors is analyzed based on the coordination number and porosity determined by stress condition and thermal conductivity of pore fluid. Results show that the variation of thermal conductivity is strongly attributed to the enlargement of inter-particle contact area by loading history and pore fluid conductivity. This study highlights that the anisotropic evolution of thermal conductivity depends on the directional load and that the particle-scale mechanism mainly dictates the heat transfer in soils.