Numerical Simulation of Heat Transfer Characteristics of Strip Steel Heated by Direct Flame Impingement of Hydrogen⁃Rich Methane

doi:10.12422/j.issn.1672-6952.2024.04.002

Abstract

Abstract:

Direct flame impingement heating technology is widely used in the field of steel heat treatment processes and is currently fueled by natural gas. Hydrogen, as a clean energy source and its high laminar flame propagation speed, combined with natural gas will improve the fuel combustion speed and reduce the emission of carbon oxides and nitrogen oxides. In this paper, a numerical model of direct flame impingement heating of steel plate was established using Fluent, and the heat transfer characteristics of direct flame impingement heating of steel strip were investigated under different hydrogen doping, Reynolds number, and factorless distance conditions. The results show that the temperature and heat flow density of the steel plate of the heated target decrease with the increase of hydrogen doping from 0 to 25% at a heating time of 10 s. The temperature of the steel plate stationary point decreases from 385.36 K to 374.31 K, and the heat flow density of the steel plate stationary point decreases from 154 828 W/m² to 137 926 W/m². With the increase of Reynolds number from 13 400 to 33 600, the steel plate stationary temperature increased from 347.04 K to 450.90 K, the pressure increased from 14.93 Pa to 136.53 Pa, but the uniformity of the temperature and pressure of the steel plate deteriorated gradually. The increase of the causeless distance from 25 to 45 made the temperature of the steel plate stationary point decreased from 442.42 K to 344.36 K, and the pressure was reduced from 106.00 Pa to 24.81 Pa and the distribution was more inhomogeneous.

Key words: Direct flame impingement, Methane doping, Numerical simulation, Steel plate

摘要：

直接火焰冲击加热技术广泛应用于钢铁热处理领域，该技术目前主要用天然气作为燃料。氢气为清洁能源，具有较高的层流火焰传播速度，其与天然气结合会改善燃料燃烧速度并减少碳氧化物及氮氧化物的排放。使用Fluent建立直接火焰冲击加热钢板的数值模型，对不同掺氢量、雷诺数及无因次距离条件下直接火焰冲击加热带钢的传热特性进行了研究。结果表明，当掺氢量从0增加到25%时，被加热10 s的靶件钢板驻点温度由385.36 K下降到374.31 K，钢板驻点处的热流密度由154 828 W/m²下降到137 926 W/m²；当雷诺数从13 400增加到33 600时，钢板驻点温度由347.04 K上升到450.90 K，压力从14.93 Pa上升到136.53 Pa，但钢板的温度和压力的均匀性逐渐变差；当无因次距离从25增加到45时，钢板驻点温度由442.42 K下降到344.36 K，压力由106.00 Pa下降到24.81 Pa，且分布更加不均匀。

关键词: 直接火焰冲击, 甲烷掺氢, 数值模拟, 带钢

CLC Number:

TG161

Xiaofeng YAN, Tianzhong QIU, Yunhui YUE, Jiarui LIANG, Tong WANG, Xianzhong HU. Numerical Simulation of Heat Transfer Characteristics of Strip Steel Heated by Direct Flame Impingement of Hydrogen⁃Rich Methane[J]. Journal of Liaoning Petrochemical University, 2024, 44(4): 10-17.

严晓峰, 仇天忠, 岳云辉, 梁嘉瑞, 王通, 胡贤忠. 富氢甲烷直接火焰冲击加热带钢传热特性的数值模拟[J]. 辽宁石油化工大学学报, 2024, 44(4): 10-17.

Figures/Tables 13

Fig.1 The two?dimensional geometric model of the burner and the grid of the calculation area

Fig.2 Schematic diagram of boundary conditions for shock flame heating

Table 1 The boundary condition of inlets

边界条件	数值
边界条件	燃料流	值班火焰	伴流
边界类型	速度入口	速度入口	速度入口
入口速度/（m·s^-1）	49.6	11.4	0.9
湍流强度/%	4.6	4.9	10.9
水力学直径/m	0.007 2	0.018 2	0.300 0
入口温度/K	294	1 880	294
内部辐射系数	1	1	1
进度变量	0	1	0
平均混合分数	1.000 0	0.275 5	0
混合分数方差	0	0	0

Table 2 Specific settings of mathematical models

名称	模型
湍流模型	Realizable k⁃ε模型
辐射模型	DO模型
燃烧模型	部分预混燃烧模型
气体吸收系数	WSGGM模型
化学反应机理	GRI 3.0机理

Fig.3 Verification results of the reliability of DFI heating model

Fig.4 Temperature field of steel plate under different hydrogen content

Fig.5 Radial temperature distribution, central axis temperature distribution, radial heat flux density, and radial convective heat transfer coefficient of steel plates under different hydrogen content

Fig.6 Radial pressure distribution of steel plates under different hydrogen content

Fig.7 Radial temperature distribution, central axis temperature distribution, radial heat flux density, and radial convective heat transfer coefficient of steel plates under different Re Number

Fig.8 Radial pressure distribution of steel plates under different Re Number

Fig.9 Radial temperature distribution, central axis temperature distribution, radial heat flux density, and radial convective heat transfer coefficient of steel plates under different dimensionless distance

Fig.10 Temperature field of steel plate under different dimensionless distance

Fig.11 Radial pressure distribution of steel plate under different dimensionless distance

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