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FORMULATION AND EXPERIMENTAL VALIDATION OF A NEW EROSION FLOW MODEL

机译:一种新的侵蚀流模型的形成与实验验证

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In the present work, a multivariable study has been conducted to systematically evaluate the effects of impact angle, material hardness, flow rate, sand concentration, particle size, and fluid viscosity on erosion. Experimental testing consisted of a submerged sand slurry jet impacting a flat plate in different orientations. Weight loss data, as well as profilometer surface scans have been collected on coupons to fully define the erosion. Empirical data trends were evaluated to provide insights into functional relationships between erosion rate and the parameters varied in the study. Interestingly, it was determined that scaling of experimental testing with regard to proppant concentration could be accomplished, since erosion rate normalized by the mass of sand impacting the eroded surface proved to be a constant. A total of five existing computational erosion models were evaluated against experimental data for both qualitative and quantitative performance. Results indicate that two models achieve relatively good comparison with experimental data without the need for case-specific tuning of model constants. This suggests that the use of these numerical models for erosion prediction in scenarios where tuning is not possible (due to lack of time/data), may still provide a reasonable estimate for the rate of material loss on equipment. As the culmination of experimental testing and computational benchmarking efforts, a new erosion model was also formulated. This model was based on both the experimental results and behavioral observations from existing submodels. The new model explicitly included contributions to erosion from the following variables: impact velocity, particle size, material hardness, and angle of impact. Improvement in simulated erosion rate agreement with empirical data was observed for all cases over existing submodels. However, those cases with higher particle diameters benefited the most. Using the new model, error compared to experiments was below 50% for all cases except one.
机译:在目前的工作中,进行了多变量研究以系统地评估冲击角,材料硬度,流速,砂浓度,粒度和流体粘度对侵蚀的影响。实验测试包括以不同方向撞击平板的浸没式砂浆射流。重量数据以及轮廓仪表面扫描已收集在试样上以完全定义腐蚀。对经验数据趋势进行了评估,以提供对腐蚀速率与研究中变化的参数之间的函数关系的见解。有趣的是,确定了可以完成关于支撑剂浓度的实验测试的缩放,因为被砂子撞击侵蚀表面的质量归一化的腐蚀速率被证明是恒定的。相对于实验数据,总共评估了五个现有的计算侵蚀模型的定性和定量性能。结果表明,两个模型都可以与实验数据进行相对较好的比较,而无需根据具体情况对模型常数进行调整。这表明在无法进行调整(由于缺乏时间/数据)的情况下,将这些数值模型用于侵蚀预测仍可为设备的材料损失率提供合理的估计。作为实验测试和计算基准测试工作的高潮,还制定了新的侵蚀模型。该模型基于实验结果和现有子模型的行为观察。新模型明确包括了以下变量对腐蚀的贡献:冲击速度,粒度,材料硬度和冲击角度。在现有子模型的所有情况下,均通过经验数据模拟侵蚀速率一致性得到了改善。但是,那些粒径较大的情况受益最大。使用新模型,除一种情况外,所有情况下与实验相比的误差均低于50%。

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