Multiscale analysis on the anisotropic thermal conduction of laminated fabrics by finite element method

Du, Peijian; Chen, Li; Ding, Xiang; Xie, Junbo; Liu, Junling; Jiao, Wei; Xu, Dianguo; Zhang, Yifan; Gao, Ziyue; Wang, Xi

doi:10.1016/j.compstruct.2022.115672

Cited by 8 publications

(2 citation statements)

References 47 publications

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“…This is because, when preparing a specimen for On the other hand, the error rate between HDPE fabrics (plain, twill, satin) showed an approximate value within ±5%, and the thermal conductivity value of the outer layer of the self-reinforced composite made of HDPE satin weave was 7.1% higher than that of the self-reinforced composite made of HDPE plain weave, which showed a higher value. In the case of the outer layer of the self-reinforced composite material made of satin weave, it is judged that the thermal conductivity is high because the gap between materials is tighter than that of plain weave, and the air layer content is relatively small due to the high density of the woven fabric [37][38][39]. Heat transfer by convection can be calculated according to Formula (3), and the surface area where convection heat transfer occurs is relatively larger in the HDPE fabric, and among the fabrics, the satin weave has the largest surface area, so it is judged that the thermal conductivity is high.…”

Section: Mechanical Characterization Resultsmentioning

confidence: 99%

Analysis of Mechanical Properties and Structural Analysis According to the Multi-Layered Structure of Polyethylene-Based Self-Reinforced Composites

Yu,

Lee,

Kim

et al. 2023

Polymers

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In this research, a self-reinforced composite material was manufactured using a single polyethylene material, and this self-reinforced composite material has excellent recyclability and is environmentally friendly compared to composite materials composed of other types of material, such as glass fiber reinforced composites (GFRP) and carbon fiber reinforced composites (CFRP). In this research, the manufactured self-reinforced composite material consists of an outer layer and an inner layer. To manufacture the outer layer, low density polyethylene (LDPE) films were laminated on high density polyethylene (HDPE) fabrics and knitted fabrics, and composite materials were prepared at various temperatures using hot stamping. A 3D printing process was utilized to manufacture the inner layer. After designing a structure with a cross-sectional shape of a triangle, circle, or hexagon, the inner layer structure was manufactured by 3D printing high-density polyethylene material. As an adhesive film for bonding the outer layer and the inner layer, a polyethylene-based self-reinforced composite material was prepared using a low-density polyethylene material. Input data for simulation of self-reinforced composite materials were obtained through tensile property analysis using a universal testing machine (UTM, Shimadzu, Kyoto, Japan), and the physical property values derived as output data and actual experimental values were obtained. As a result of the comparison, the error rate between simulation data and experimental data was 5.4% when the shape of the inner layer of self-reinforced composite material was a hexagon, 3.6% when it was a circle, and 7.8% when a triangular shape showed the highest value. Simulation in a virtual space can reduce the time and cost required for actual research and can be important data for producing high-quality products.

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Section: Mechanical Characterization Resultsmentioning

confidence: 99%

Analysis of Mechanical Properties and Structural Analysis According to the Multi-Layered Structure of Polyethylene-Based Self-Reinforced Composites

Yu,

Lee,

Kim

et al. 2023

Polymers

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“…The effective cross-sectional area of the realistic yarn is 0.0864 mm 2 (approximate to). 40,41 As a result, the realistic yarn contains about 2000 fibers per ply. According to the accuracy and computational efficiency of the model, appropriate amounts of virtual fibers, element length and coefficient of friction are used (see Identification of modeling parameters).…”

Section: Virtual Fiber and Virtual Yarns Modelingmentioning

confidence: 99%

An efficient virtual modeling regard to the axial tensile and transverse compressive behaviors of the twisted yarns

Wang

Jiao

et al. 2022

Journal of Industrial Textiles

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The mechanical properties of yarns have a decisive effect on the performance of fiber-reinforced composite materials. Predictive simulations of the mechanical response of yarns are, thus, necessary for damage evaluation and geometric reconstruction of textiles. This paper proposed a quasi-fiber scale virtual modeling method regard to the axial tensile and transverse compressive behaviors of the twisted yarns. A stochastic properties model of the yarn was established for characterizing the statistical distribution of tensile strength. The variation of modeling parameters, including coefficient of friction, the amounts of virtual fibers per yarn and element length, versus calculation accuracy has been determined based on axial tensile and transverse compressive behavior of quartz fibers. The relationship between modeling parameters and mechanical behavior of yarn was established within the scope of this study. Axial tensile and transverse compressive behavior of yarns with different twists were predicted. The results show that balance between the modeling precision and computational efficiency can be achieved using the parameters, the COF of 0.35, virtual fiber count of 122 and Le of 0.3. This efficient modeling method is meaningful to be developed in further virtual weaving research.

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Numerical and experimental study on anisotropic heat transfer behaviors of quartz fabric composite preforms: Multiple micro‐scale models method

Wu,

Wang,

Peng

et al. 2024

Polymer Composites

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This paper presents a comprehensive study on anisotropic heat transmission behaviors in quartz fiber fabrics. Considering the random distribution characteristic of fibers within the yarn, an innovative two‐scale finite element method (tFEM) is introduced, incorporating multiple micro‐scale fiber models (MMFM) based on scanning electron microscope (SEM) observations. MMFM are divided into 8 distinct models to capture intricate fiber arrangements. The macro‐scale fabric model is constructed based on the geometric structure analysis by Micro‐CT technology. Both micro‐ and macro‐scale models are assembled with the air matrix to form the two‐phase composite model. The Hot‐Disk thermal analysis instrument is applied to measure the anisotropic thermal conductivity (ATC). Numerical results from MMFM shows more excellent agreements with the experimental ones at 3D orthogonal directions of fabrics, i.e., the error rates of the thermal conductivity in the warp, weft and thickness directions between numerical and experimental methods are all less than 3%, which indicates the tFEM including MMFM in this paper is more accurate than the tFEM including OSMFM. In addition, the temperature distribution and heat transmission differences due to fiber arrangements are simulated and illustrated through the MMFM. Afterwards, temperature drop and isothermal characteristics are demonstrated in this study.Highlights Effects of fiber arrangements on steady heat transfer behaviors at micro‐scale are illustrated. Isothermal and temperature‐drop characteristics at micro‐ and macro‐scale are simulated and studied. The transverse isotropy of thermal conductivity at micro‐scale and the anisotropy of that at macro‐scale are revealed.

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Multiscale analysis on the anisotropic thermal conduction of laminated fabrics by finite element method

Cited by 8 publications

References 47 publications

Analysis of Mechanical Properties and Structural Analysis According to the Multi-Layered Structure of Polyethylene-Based Self-Reinforced Composites

Analysis of Mechanical Properties and Structural Analysis According to the Multi-Layered Structure of Polyethylene-Based Self-Reinforced Composites

An efficient virtual modeling regard to the axial tensile and transverse compressive behaviors of the twisted yarns

Numerical and experimental study on anisotropic heat transfer behaviors of quartz fabric composite preforms: Multiple micro‐scale models method

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