ISSN   1004-0595

CN  62-1095/O4

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金浩哲, 易玉微, 刘旭, 叶浩杰, 许健, 舒歌平, 偶国富. 液固两相流冲洗油管道的冲蚀磨损特性数值模拟及分析[J]. 摩擦学学报, 2016, 36(6): 695-702. DOI: 10.16078/j.tribology.2016.06.005
引用本文: 金浩哲, 易玉微, 刘旭, 叶浩杰, 许健, 舒歌平, 偶国富. 液固两相流冲洗油管道的冲蚀磨损特性数值模拟及分析[J]. 摩擦学学报, 2016, 36(6): 695-702. DOI: 10.16078/j.tribology.2016.06.005
JIN Haozhe, YI Yuwei, LIU Xu, YE Haojie, XU Jian, SHU Geping, OU Guofu. Simulation and Analysis of Erosion Characteristics in Flushing Oil Pipeline with Liquid-Solid Phase Fluids[J]. TRIBOLOGY, 2016, 36(6): 695-702. DOI: 10.16078/j.tribology.2016.06.005
Citation: JIN Haozhe, YI Yuwei, LIU Xu, YE Haojie, XU Jian, SHU Geping, OU Guofu. Simulation and Analysis of Erosion Characteristics in Flushing Oil Pipeline with Liquid-Solid Phase Fluids[J]. TRIBOLOGY, 2016, 36(6): 695-702. DOI: 10.16078/j.tribology.2016.06.005

液固两相流冲洗油管道的冲蚀磨损特性数值模拟及分析

Simulation and Analysis of Erosion Characteristics in Flushing Oil Pipeline with Liquid-Solid Phase Fluids

  • 摘要: 以液固两相流冲洗油管道为研究对象, 采用Realizable κ-ε湍流模型、随机轨道模型, 结合液固两相流冲蚀磨损试验, 建立修正的冲蚀磨损数理模型, 数值预测典型工况下冲洗油管道内速度、压力、冲蚀磨损率等流动参数分布情况, 分析了冲蚀磨损的形成机制. 研究结果表明: 受曲率半径影响, 冲洗油管道冲蚀磨损速率随曲率半径的增加而减小; 由于颗粒惯性及管内二次流影响, 弯头中间区域外侧壁面和出口直管段内侧面磨损较为严重, 三通管件的最大冲蚀磨损率位于孔口处, 数值预测结果与失效解剖案例吻合. 本文建立的冲蚀磨损定量预测方法, 适用于压力管道的风险评定及寿命预测.

     

    Abstract: To predict the distribution situation of velocity, pressure, erosion wear in the flushing oil pipeline under typical working condition, the flushing oil pipeline was taken as research object, the Realizable κ-ε turbulent model, stochastic trajectory model and erosion model were utilized in the computational fluid dynamics(CFD) simulation, combining the rotary liquid-solid two phase flow erosion test for corrected erosion wear mathematical model, and the particle erosion damage mechanism of tube wall was analyzed. The results show that the erosion rate of flushing oil pipeline decreased with increasing radius of curvature. The erosion wear in the lateral wall of the bend middle area and the inside wall of the export straight pipe was relatively serious due to the influence of particle inertia and secondary flow in tube, and the orifices in the tee joint reached the maximum. The numerical prediction results agreed well with the anatomical failure case. The quantitative prediction method of erosion wear established in this paper is suitable for risk assessment and life prediction in pressure pipelines.

     

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