首页> 外文学位 >Look-Up Table for Two-Phase Frictional Pressure Drop Multiplier.
【24h】

Look-Up Table for Two-Phase Frictional Pressure Drop Multiplier.

机译:两相摩擦压降倍数的查找表。

获取原文
获取原文并翻译 | 示例

摘要

Accurate prediction of two-phase friction pressure drop requires knowledge of the Two-Phase Friction Pressure Drop Multiplier, phi2 LO, used for calculating two-phase friction pressure drop. Many Correlations and models are previously made to predict the two-phase friction multiplier, but the problem that there is inconsistency in prediction as the models perform adequate for some regions and non-adequate in others. Therefore, it is needed to construct a single component two-phase look-up-table, to predict the two-phase frictional pressure drop multiplier. A skeleton table for F2LO (DR, Re, x) was constructed using leading correlations. The table then was updated with available experimental data which are enhanced to reduce the error in correlations predictions. Three dimensional smoothing was applied on the updated table. Detailed error assessment of the table was presented with comparing its predictions against experimental data as well as leading models and correlations. As a result, constructing such a table guarantees covering wide ranges of flow conditions with error 7% lower than the best prediction among existing models and correlations.
机译:准确预测两相摩擦压降需要了解两相摩擦压降乘数phi2 LO,该系数用于计算两相摩擦压降。先前已经建立了许多相关性和模型来预测两相摩擦系数,但是由于模型在某些区域表现良好而在其他区域表现不充分,因此预测中存在不一致的问题。因此,需要构造一个单成分的两相查找表,以预测两相摩擦压降乘数。 F2LO(DR,Re,x)的骨架表是使用前导相关构建的。然后使用可用的实验数据更新该表,这些实验数据经过增强以减少相关性预测中的误差。在更新的表上应用了三维平滑。通过与实验数据以及领先的模型和相关性比较其预测,对表格进行了详细的误差评估。结果,构造这样的表格保证了覆盖宽范围的流动条件,其误差比现有模型和相关性中的最佳预测低7%。

著录项

  • 作者

    Alsurakji, Ihab Hisham.;

  • 作者单位

    King Fahd University of Petroleum and Minerals (Saudi Arabia).;

  • 授予单位 King Fahd University of Petroleum and Minerals (Saudi Arabia).;
  • 学科 Engineering Mechanical.
  • 学位 M.S.
  • 年度 2012
  • 页码 164 p.
  • 总页数 164
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号