硫黄湿法成型过程数值模拟与操作参数优化

doi:10.16085/j.issn.1000-6613.2023-1282

摘要/Abstract

摘要：

目前对于液硫固化成型机理的认识并不是很完善，而且实验方法也很难观测到颗粒内部，冷却水流场分布等情况，为了解决这一问题，在实验研究的基础上采用计算流体力学（computational fluid dynamics，CFD）模拟方法对硫黄湿法造粒过程进行数值模拟，对冷却成型设备进行数理建模，对比分析了不同下落高度、冷却水温度以及冷却水进口流速下的硫黄颗粒粒径分布与形貌，通过调整以上参数，得到硫黄湿法造粒过程的最佳参数组合并深入分析了硫黄湿法冷却成型规律。在实验结果的基础上，进一步验证及完善了成型罐模型和模拟工艺参数。研究结果表明，随下落高度增大，细粉硫占比增多，但硫黄颗粒粘连情况减少，得到硫黄湿法造粒过程中最佳参数组合为下落高度为30mm、冷却水温度为55℃、冷却水进口流速为2.5m/s。

关键词: 硫黄湿法造粒, 计算流体力学模拟, 最优参数

Abstract:

At present, the understanding of the mechanism of liquid sulfur solidification molding is not very complete, and it is difficult to observe the internal particles and the distribution of cooling water flow field under experimental methods. To solve this problem, based on experimental research, computational fluid dynamics (CFD) simulation method was used to numerically simulate the wet granulation process of sulfur, and mathematical modeling was conducted on the cooling molding equipment. Different drop heights were compared and analyzed, the optimal parameter combination for sulfur wet granulation process was obtained by adjusting the particle size distribution and morphology of sulfur particles under the temperature of cooling water and the inlet flow rate of cooling water. The law of sulfur wet granulation was analyzed in depth. Based on the experimental results, the forming tank model and simulation process parameters were further validated and improved. The research results indicated that as the falling height increases, the proportion of fine sulfur powder increases, but the adhesion of sulfur particles decreases. The optimal parameter combination for sulfur wet granulation process was a falling height of 30mm, a cooling water temperature of 55℃, and a cooling water inlet flow rate of 2.5m/s.

Key words: sulfur wet granulation, computational fluid dynamics simulation, optimal parameters

中图分类号:

TQ125.1⁺1

孙继鹏, 韩靖, 唐杨超, 闫汉博, 张杰瑶, 肖苹, 吴峰. 硫黄湿法成型过程数值模拟与操作参数优化[J]. 化工进展, 2023, 42(S1): 189-196.

SUN Jipeng, HAN Jing, TANG Yangchao, YAN Bowen, ZHANG Jieyao, XIAO Ping, WU Feng. Numerical simulation and optimization of operating parameters of sulfur wet molding process[J]. Chemical Industry and Engineering Progress, 2023, 42(S1): 189-196.

图/表 12

参考文献 24

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物性参数	液态硫黄	冷却水	空气
温度/℃	140.000	40.000	20.000
摩尔质量/g·mol^-1	32.070	18.020	29.000
密度/kg·m^-3	1786.600	992.250	1.195
热导率/W·m^-1·K^-1	0.136	0.632	0.027
黏度/mPa·s	8.000	0.656	0.018

物性参数	液态硫黄	冷却水	空气
温度/℃	140.000	40.000	20.000
摩尔质量/g·mol^-1	32.070	18.020	29.000
密度/kg·m^-3	1786.600	992.250	1.195
热导率/W·m^-1·K^-1	0.136	0.632	0.027
黏度/mPa·s	8.000	0.656	0.018

初始及边界条件	参数设置
入口	层流平方定律修正速度分布；速度方向垂直于入口边界
出口	自由流出口
床体壁面	气体为零滑移剪切应力；固相滑移摩擦系数为0.02
环境温度	298.15K
环境压力	101.325kPa
迭代时间步长	0.0001s
收敛标准	10^-4

初始及边界条件	参数设置
入口	层流平方定律修正速度分布；速度方向垂直于入口边界
出口	自由流出口
床体壁面	气体为零滑移剪切应力；固相滑移摩擦系数为0.02
环境温度	298.15K
环境压力	101.325kPa
迭代时间步长	0.0001s
收敛标准	10^-4