Nonlinear Analysis of Mineral Wool Fiberization Process

Bizjan, Benjamin; Širok, Brane; Govekar, Edvard

doi:10.1115/1.4026842

Cited by 4 publications

(2 citation statements)

References 23 publications

(34 reference statements)

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“…However, it was not mature to describe the process by numerical simulation while studying the practical problems of centrifugal wool formation. As the complex fluid resulted from many influencing factors, the simulation results differ greatly from the actual results [20][21][22]. In addition, in the real production process, high rotating speed resulted in grossly increased instabilities under the high temperature environment.…”

Section: Preparation Of the Ceramic Woolmentioning

confidence: 93%

Predicting Ceramic Wool Diameter by Motor Frequency Using Improved BP Neural Network

Huang

et al. 2022

Applied Sciences

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Ceramic wool was prepared by the melt-spinning method, and the diameter was the main factor severely affecting the performance of the final product which was difficult to check online. The current study discusses the approximate simulation of the fiber formation and presents a fast precision measuring method to predict the ceramic wool diameter using an improved Back-Propagation (BP) neural network. Particle Swarm Optimizer (PSO) was employed to optimize the neural network structure for its presentation of the relationship between the motor frequency of the spinning wheel and the ceramic wool diameter. The superiority of this method was demonstrated by experiment compared with the least square method (LSM). The mean measurement error of PSO-BP was 0.471%, which was lower than that of LSM. The presented PSO-BP method was very valuable for predicting the wool diameter, and the neural networks could solve nonlinear problems successfully, which was certified by the actual prediction of ceramic wool diameter.

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Section: Preparation Of the Ceramic Woolmentioning

confidence: 93%

Predicting Ceramic Wool Diameter by Motor Frequency Using Improved BP Neural Network

Huang

et al. 2022

Applied Sciences

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“…Chen Jiu et al [12] Although centrifugal fiber forming machines have a wide range of applications, there are few public reports on the research and modeling of these special types of rotating devices (rollers). Širok et al [9] conducted high-speed camera visualization of molten films on industrial spinning machine rollers, analyzing the speed, and structural dynamics of early fibrosis stages. Lin Yihan et al [10] established control differential equations and studied the rigid clamping model of four roller wheels.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Heat Transfer of Roller Slag in Centrifugal Preparation of Inorganic Fiber

Liu,

Wang,

et al. 2023

Processes

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The synergistic preparation of aluminum silicate ceramic fibers from dust removal ash and fly ash is a newly developed process that achieves green and high added value treatment of solid waste. In this process, the centrifugal fiber forming method is used to treat molten slag to obtain aluminum silicate ceramic fibers. During the production process, the centrifugal roller, as a key component in fiber forming, is in long-term contact with high-temperature slag. The heat transfer between the two causes a huge temperature gradient inside the roller material, causing significant thermal stress inside the material, which has a significant impact on the stability of the centrifugal roller structure and its working condition. This article mainly conducts numerical simulation research on the heat transfer between the roller and the slag during the centrifugal fiber forming process, providing theoretical support for ensuring the structural stability of the roller and improving its service life. The research was carried out using the FLUENT module of the ANSYS software (V2021R1), and the heat transfer model of the slag and roller was established. The effects of the internal circulating water, different slag temperatures, different slag film widths, and different boundary layer thicknesses on the heat transfer of the roller were analyzed. The results show that the water temperature at the outlet is about 6 °C higher than that at the inlet on average; when the temperature of the slag increases by 1 °C, the temperature of the roller surface in contact with the slag increases by 0.91 °C; when the width of the slag on the roll surface is 11–17 mm and the slag thickness (boundary layer thickness) is less than 1 mm, it is beneficial for fiber production.

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An overview of 0–1 test for chaos

Bernardini

Litak

2015

J Braz. Soc. Mech. Sci. Eng.

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Nonlinear Analysis of Mineral Wool Fiberization Process

Cited by 4 publications

References 23 publications

Predicting Ceramic Wool Diameter by Motor Frequency Using Improved BP Neural Network

Predicting Ceramic Wool Diameter by Motor Frequency Using Improved BP Neural Network

Numerical Simulation of Heat Transfer of Roller Slag in Centrifugal Preparation of Inorganic Fiber

An overview of 0–1 test for chaos

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