Comparing the uniformity of light glass fiber felt based on process improvement, microstructural forming mechanism and physical properties

Yang, Yong; Zhou, Chen; Xu, Tengzhou; Wu, Cao; Awuye, Desire Emefa; Chen, Zhaofeng

doi:10.1177/0040517518813714

Cited by 13 publications

(11 citation statements)

References 23 publications

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“…T Ei (i 2 [1,12]) represents the temperature of the nodes on the edges E1 to E12 as shown in Figure 9. T n (n 2 [1,8]) represents the temperature of the eight vertex nodes as shown in Figure 9. Vertices: Equation ( 6) is the constraint equation on opposite parallel surfaces A1 and A2, parallel surfaces B1 and B2, parallel surfaces C1 and C2, as shown in Figure 9.…”

Section: Temperature Periodic Boundary Conditionsmentioning

confidence: 99%

“…Similarly, T A2 , T B2 and T C2 , respectively, represent the temperatures of the nodes (slave nodes) on boundary faces A2, B2 and C2 as shown in Figure 9. T E i (i ∈ [1,12]) represents the temperature of the nodes on the edges E1 to E12 as shown in Figure 9. T n (n ∈ [1,8]) represents the temperature of the eight vertex nodes as shown in Figure 9.…”

Section: Finite Element Analysis On Heat Transfer Of Cqfwmentioning

confidence: 99%

“…T E i (i ∈ [1,12]) represents the temperature of the nodes on the edges E1 to E12 as shown in Figure 9. T n (n ∈ [1,8]) represents the temperature of the eight vertex nodes as shown in Figure 9. Vertices:…”

Section: Finite Element Analysis On Heat Transfer Of Cqfwmentioning

confidence: 99%

“…As a result of its low mass, high strength 1 and excellent thermostability, 2 carding quartz fiber webs (CQFWs) 3,4 have been widely used in making engineer nozzles (as shown in Figure 1), equipment of thermal protection, radomes of the radar and missiles. [5][6][7] Moreover, thermal conductivity plays an essential role in determining structure failure and service life of the structural parts above.…”

mentioning

confidence: 99%

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Numerical and experimental analysis on anisotropic thermal conductivity of carding quartz fiber web based on the reconstruction model

Ding

Liang

et al. 2022

Textile Research Journal

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In order to analyze the thermal and mechanical properties of the carding quartz fiber web and the needle-punched quartz fiber preform containing the carding quartz fiber web, we propose a ‘three-step’ method to establish a three-dimensional quartz carding fiber web model containing large slenderness ratio fibers. First, the thickness and areal density of the carding quartz fiber web were measured and statistical analysis of fiber length and orientation distribution was carried out, which provided data support for establishing the three-dimensional carding fiber web model. Based on the wide application of Python language in finite element software, then spatial layered fibers of the beam element were generated by running Python scripts in finite element software; second, the three-dimensional carding fiber web model of beam element was established through a deposition and compression process by the explicit method of the finite element software; finally, the three-dimensional carding fiber web model of the beam element was converted into the solid element model for heat transferring analysis by Python. The converted process is the reconstruction process. Furthermore, anisotropic heat transmission of the three-dimensional carding fiber web model that includes temperature distribution and heat flux distribution were analyzed. Meanwhile, anisotropic thermal conductivity of the three-dimensional carding fiber web model was predicted in finite element software. A hot-disk thermal analyzer was used to measure the anisotropic thermal conductivity of the three-dimensional carding quartz fiber web. Experimental anisotropic thermal conductivity showed an excellent agreement with anisotropic thermal conductivity predicted by the finite element method. Moreover, the method in this paper is not only suitable for any other fibrous materials with randomly distributed fibers and large slenderness ratio fibers, but also is more efficient and low cost to obtain detailed heat conductions and anisotropic thermal conductivity.

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Section: Temperature Periodic Boundary Conditionsmentioning

confidence: 99%

Section: Finite Element Analysis On Heat Transfer Of Cqfwmentioning

confidence: 99%

Section: Finite Element Analysis On Heat Transfer Of Cqfwmentioning

confidence: 99%

mentioning

confidence: 99%

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Numerical and experimental analysis on anisotropic thermal conductivity of carding quartz fiber web based on the reconstruction model

Ding

Liang

et al. 2022

Textile Research Journal

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“…Bajcar et al 8 discovered that the formation of the primary layer of mineral wool was influenced by the aerodynamic characteristics of the "blow-away" airflow, the secondary surrounding airflow, and the velocity fluctuation. Yang et al 9 studied the microstructural forming mechanism and physical properties to compare the uniformity changes under different processes by using the Venturi tube to transform the fibers. In addition, a method that enabled on-line monitoring and control was presented by Hočevar et al 10 This experimental method was based on image acquisition and processing of the mineral wool primary layer structure.…”

Section: Introductionmentioning

confidence: 99%

Optimization and prediction of ultra-fine glass fiber felt process parameters based on artificial neural network

Zhang

Chen

Wang

et al. 2020

Journal of Engineered Fibers and Fabrics

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Ultra-fine glass fiber felt (fiber diameter ⩽3 μm) is prepared by the flame blowing process with superior thermal insulation and sound insulation. It is widely used in construction and aerospace by improving its uniformity and fiber diameter to further enhance its thermal and acoustic insulation properties. In this article, the purpose is further to create a smart manufacturing system using artificial neural network to provide analysis, judgment, and optimization for the manufacture of aerospace-grade ultra-fine glass fiber felt. When there were 11 neurons in the hidden layer, both the relative error Z values of the uniformity and the fiber diameter were the smallest, which were 0.0382 and 0.0073, respectively. So the structure 3−[11]1–2 with the back-propagation training algorithm was the most adaptive model, which was proved by comparing the mean relative error. In addition, after comparison with the measured data, the predicted and measured values are very similar and the error between them is small, so this structure has been confirmed to have a high accuracy. Finally, three-dimensional planes for the predicted uniformity and fiber diameter as a function of each process parameters are established. The predictive quality was pretty satisfactory, which can be applied to predict new data in the same knowledge domain.

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Preparation and sound insulation of honeycomb composite structures filled with glass fiber

Ge,

Xue,

Liu

et al. 2023

Polymer Composites

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Honeycomb composite with excellent mechanical–physical properties had attracted extensive attention. To achieve outstanding sound insulation while maximizing the high‐performance of honeycomb composite, this article reported a honeycomb composite structure filled with glass fiber (HFG) based on a paper‐making process and the corresponding sandwich structure. Pulping parameters, mechanical property, air permeability and sound insulation of HFG were analyzed. The results showed that the hanging index and settling height of glass fiber slurry were inversely proportional to the beating degree, which was beneficial for reducing the coefficient of variation (CV) of HFG with value of 4%–6%. The maximum improvement in tensile strength and bursting strength of HFG were 70% and 53%, respectively. In addition, sound transmission loss (STL) of HFG was proportional to cell size, density, filling amount and thickness of the honeycomb. Compared to HFG, sandwich structure consisting of HFG and glass fiber/hot melt fiber panels effectively improved STL, especially at low‐mid frequencies. It was also found that designing holes on the surface of sandwich structure could further improve STL in certain frequency bands. The structure offered a lightweight and high‐performance response for construction, transportation and infrastructure.Highlights This article designs a new type of honeycomb filled glass fiber via paper‐making process, aiming to improve the comprehensive performance of honeycomb. By the design of embedded structure, the maximum improvement in tensile strength and bursting strength of honeycomb were 70% and 53%, respectively. By designing perforated, embedded and laminated structures, sound insulation has been improved, while reducing material quality.

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Comparing the uniformity of light glass fiber felt based on process improvement, microstructural forming mechanism and physical properties

Cited by 13 publications

References 23 publications

Numerical and experimental analysis on anisotropic thermal conductivity of carding quartz fiber web based on the reconstruction model

Numerical and experimental analysis on anisotropic thermal conductivity of carding quartz fiber web based on the reconstruction model

Optimization and prediction of ultra-fine glass fiber felt process parameters based on artificial neural network

Preparation and sound insulation of honeycomb composite structures filled with glass fiber

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