Numerical simulation of the melting process in basalt fiber tank

doi:10.16085/j.issn.1000-6613.2018-0675

Abstract

Abstract:

The mathematical models on the three regions, including combustion space, the basalt liquid space and the raw material melting space in the basalt fiber tank, were established based on computational fluent dynamics (CFD). According to the heat fluxes and temperatures at the interfaces between the three regions, a thermal coupling simulation was performed by Fluent software. Meanwhile, the models were verified by comparing with experimental results, and the distribution characteristics of the temperature and velocity fields at these regions were numerically analyzed. The results indicated that the design and parameters of basalt fiber tank could be optimized by the simulation method mentioned above. The temperature of the whole combustion space was uniformly distributed by utilizing the top firing gun, and the temperature around the free surface of molten liquid was maintained at a high level. From the free surface to the bottom of basalt liquid space, the temperature of molten flow was gradually increased and then reduced. Furthermore, the maximum occurred near the horizontal height of the electrodes. The uniformity of temperature could be improved along the depth direction of the tank by utilizing the electric boosting technology. Therefore, the scale of production could be greatly enlarged and the cost be reduced.

Key words: basalt fiber, tank, melting system, numerical simulation

摘要：

基于计算流体力学，分别建立了玄武岩池窑中的火焰燃烧、原料熔化以及熔液流动三大空间的数学模型。依据各空间交界面之间的热量传递和温度机制，采用Fluent软件对三大空间进行了热耦合模拟。在模型经实验验证的基础上，分析了三大空间的温度场、速度场的分布特性。研究结果表明：所构建的数值模拟方法可用于指导玄武岩池窑设计和参数优化；顶烧枪的布置方式可保证火焰空间的整体温度分布较为均匀，并能够维持熔液表面附近的气流温度在较高水平；沿着熔液流动空间的自由表面直至池窑底部，熔液的温度首先逐渐升高并在电极高度附近达到最大值，之后开始下降；采用电助熔技术可有效提升池窑深度方向上的温度均匀性，从而大大提升生产规模，降低成本。

关键词: 玄武岩纤维, 池窑, 熔制系统, 数值模拟

CLC Number:

TQ343

Liping ZHU, Shoufu YU, Shiwu LÜ, Jiapei WU, Xiufeng TANG, Xuekun SUN. Numerical simulation of the melting process in basalt fiber tank[J]. Chemical Industry and Engineering Progress, 2019, 38(02): 940-948.

朱立平, 于守富, 吕士武, 吴嘉培, 唐秀凤, 孙雪坤. 玄武岩纤维池窑熔制过程的数值模拟[J]. 化工进展, 2019, 38(02): 940-948.

Figures/Tables 15

References 29

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天然气入口流速/m·s^-1	天然气入口温度/℃		空燃比
5	27		12
原料入口温度/℃	投料量/t·d^-1	壁面发射率	熔液自由表面发射率
50	4	0.6	0.9

天然气入口流速/m·s^-1	天然气入口温度/℃		空燃比
5	27		12
原料入口温度/℃	投料量/t·d^-1	壁面发射率	熔液自由表面发射率
50	4	0.6	0.9

名称	温度	参数
密度ρ/kg?m^–3	≤1000℃	2760
	1000~1260℃	2942.8–0.1326T
	≥1260℃	2942.8–0.1326T
黏度η/Pa·s	≤1000℃	632.9615
	1000~1260℃	lglg η =1.5566–0.88043×T×10^-3
	≥1260℃	lglg η =1.5566–0.88043×T×10^-3
电阻率ρ _r/Ω?cm	≤1000℃	0.44014
	1000~1260℃	lglg ρ _r =0.88724–0.52678×T×10^-3
	≥1260℃	lglg ρ _r =0.88724–0.52678×T×10^-3
等效热导率/W?m^–1?K^–1	—	2
比热容/J·kg^–1?K^–1	—	1800
熔化热/J?kg^–1	1000~1260℃	538000

名称	温度	参数
密度ρ/kg?m^–3	≤1000℃	2760
	1000~1260℃	2942.8–0.1326T
	≥1260℃	2942.8–0.1326T
黏度η/Pa·s	≤1000℃	632.9615
	1000~1260℃	lglg η =1.5566–0.88043×T×10^-3
	≥1260℃	lglg η =1.5566–0.88043×T×10^-3
电阻率ρ _r/Ω?cm	≤1000℃	0.44014
	1000~1260℃	lglg ρ _r =0.88724–0.52678×T×10^-3
	≥1260℃	lglg ρ _r =0.88724–0.52678×T×10^-3
等效热导率/W?m^–1?K^–1	—	2
比热容/J·kg^–1?K^–1	—	1800
熔化热/J?kg^–1	1000~1260℃	538000

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