Numerical simulation of dense pneumatic conveying of pulverized coal in horizontal pipe at high pressure

PU Wenhao; ZHAO Changsui; XIONG Yuanquan; LIANG Cai; CHEN Xiaoping; LU Peng; FAN Chunlei

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Numerical simulation of dense pneumatic conveying of pulverized coal in horizontal pipe at high pressure

更新时间：2025-12-10

- Numerical simulation of dense pneumatic conveying of pulverized coal in horizontal pipe at high pressure
- CIESC Journal Issue 10, Pages: 2601-2607(2008)
- 作者机构：
  
  东南大学能源与环境工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：05 October 2008，
  
  Published：05 October 2008
- 稿件说明：
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PU Wenhao, ZHAO Changsui, XIONG Yuanquan, et al. Numerical simulation of dense pneumatic conveying of pulverized coal in horizontal pipe at high pressure[J]. CIESC Journal, 2008, (10): 2601-2607.
DOI：

PU Wenhao, ZHAO Changsui, XIONG Yuanquan, et al. Numerical simulation of dense pneumatic conveying of pulverized coal in horizontal pipe at high pressure[J]. CIESC Journal, 2008, (10): 2601-2607. DOI：

摘要

针对加压密相气力输送，对现有的颗粒静摩擦力模型进行适当修正，并将其与颗粒动理学理论相结合，建立了可以描述加压密相气力输送的气固湍流流动状况的多相流模型。该模型充分考虑了颗粒间碰撞和摩擦力作用，以及气相和颗粒团湍流脉动之间的相互作用。采用该模型对水平管内加压密相气力输送进行了三维数值模拟研究，模拟得到了气相和固相的速度、浓度和湍流强度分布，以及压降梯度的变化规律，再现了颗粒沉积层的形成和运动的动态过程。并进行了加压密相煤粉气力输送试验研究，预测的压降梯度与试验测量结果相符合。

Abstract

A new frictionalkinetic model for dense phase pneumatic conveying of pulverized coal in a horizontal pipe at a high pressure was establishedThis model treated the kinetic and frictional stresses of particles additivelyThe kinetic stress was modeled by using the kinetic theory of granular flowThe friction stress proposed by Srivastava et al. was modified to account for dense phase pneumatic conveyingThe simulation results included profiles of gas and particle phase axial velocity

profiles of solids concentration

profiles of the turbulence intensity of gas and particle phase

as well as the value of pressure gradientThe formation and motion process of the settled layer were verifiedAn experiment was also carried out to validate the accuracy of the simulation results

which showed that the predictions of pressure gradient were in good agreement with the experimental data.

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