首页> 外文期刊>Particulate Science and Technology: An International Journal >Computational methodology for determination of head loss in both laminar and turbulent regimes for the flow of high concentration coal ash slurries through pipeline
【24h】

Computational methodology for determination of head loss in both laminar and turbulent regimes for the flow of high concentration coal ash slurries through pipeline

机译:确定层流和湍流条件下压头损失的计算方法,用于高浓度煤灰浆流经管道

获取原文
获取原文并翻译 | 示例
           

摘要

Flow of fine coal ash slurries at high concentrations (60-70% by weight) was analyzed using the commercial computational fluid dynamics (CFD) package FLUENT. Rheological properties of high concentration slurry show that the slurry behaves as a non-Newtonian fluid and exhibits Bingham plastic behavior. The predicted results for pressure drop as a function of flow velocity for the slurry flow at different concentrations are found to be in good agreement with experimental data reported in the literature. The k-omega Shear Stress Transport (SST) model was found to give better results in the turbulent regime and is consistent with the observations reported in literature. The predicted results for pressure drop were used to calculate the friction factor at various Reynolds and Hedstrom numbers. The methodology developed will help the design of high concentration ash slurry disposal systems based on the measured values of rheological parameters of the slurry. The rheological parameters account for the variation of the particle size distribution in the coal ash and thus the effect of particle size distribution on the head loss in the pipe line was established indirectly.
机译:使用商业计算流体动力学(CFD)软件包FLUENT分析了高浓度(60-70%重量百分比)的细粉煤灰浆的流动。高浓度浆料的流变特性表明,该浆料表现为非牛顿流体,并具有宾厄姆塑性行为。发现在不同浓度下,压降作为浆液流速的函数的预测结果与文献报道的实验数据非常吻合。发现k-omega剪切应力传递(SST)模型在湍流状态下可提供更好的结果,并且与文献报道的观察结果一致。压降的预测结果用于计算各种雷诺数和Hedstrom数下的摩擦系数。所开发的方法将有助于根据浆液流变参数的测量值设计高浓度灰浆液处置系统。流变参数解释了粉煤灰中粒径分布的变化,因此间接建立了粒径分布对管道水头损失的影响。

著录项

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