流体介质中微粒的分离-混合方程的推导

唐纳德·O·贝松

doi:10.3879/j.issn.1000-0887.2009.06.010

流体介质中微粒的分离-混合方程的推导

doi: 10.3879/j.issn.1000-0887.2009.06.010

唐纳德·O·贝松

皇家技术学院数值计算系,斯德哥尔摩 S[KG*5]_10044,瑞典

详细信息

中图分类号: O359
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出版历程
- 收稿日期: 2008-10-23
- 修回日期: 2009-03-02
- 刊出日期: 2009-06-15

Derivation of a Segregation-Mixing Equation for Particles in a Fluid Medium

Donald O. Besong

Department of Numerical methods and Computng(NADA), Royal Institute of Technology, S-10044 Stockholm, Sweden

摘要

摘要: 主要目的是从基本原理（即，基本的物理）出发，推导出流体中纤细的、单个分散微粒的分离-混合方程的重力项．推出的微粒重力驱动通量，直接导致Richardson-Zaki相互关系式的最简单情况．仅仅依靠推导，自然地引出由微粒和流体的物理参数表达的Stokes速度．从基本物理原理出发的推导在以前的文献中还没有出现过．它可应用于低浓度的纤细微粒．
- 重力分离 /
- Kynch批通量 /
- 基本原理 /
- Burger型方程
Abstract: The main purpose is to show that the gravity term of the segregation-mixing equation of fine mono-disperse particles in a fluid can be derived from elementary physics(i.e.first principles).The derivation of the gravity-driven flux of particles leads to the simplest case of the Richaidson and Zald correlation.Stokes velocity also naturally appears from the physical parameters of the particles and fluid by means of derivation only,for the first time.This derivation fmm first principle physics has never been presented before.It is applicable in small concentrations of fine particles
- gravity segregation /
- Kynch batch flux /
- first principles derivation /
- Burger-type equation

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参考文献(19)

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