A finite particle method with particle shifting technique for modeling particulate flows with thermal convection
A finite particle method with particle shifting technique for modeling particulate flows with thermal convection
复制标题
采用粒子移动技术的有限粒子方法,用于模拟热对流颗粒流
DOI:
10.1016/j.ijheatmasstransfer.2018.09.074
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发表时间:
2019
影响因子:
5.2
通讯作者:
Liu M. B.
中科院分区:
文献类型:
--
作者:
Zhang Z. L.;Walayat K.;Huang C.;Chang J. Z.;Liu M. B.
Particulate flows with thermal convection are very challenging to simulate numerically due to the existence of constantly moving boundaries and complex heat-fluid coupling effects. Meshfree and particle methods have special advantages in modeling complex fluid flows with moving boundaries. However, previous works based on meshfree modeling mainly focused on either particulate flows only with momentum exchange or natural thermal convection. In this paper, a finite particle method integrated with particle shifting technique (FPM-PST) is developed for modeling particulate flows with thermal convection. FPM is an improved smoothed particle hydrodynamics (SPH) method with better accuracy while extremely irregular particle distribution may lead to ill-conditioned corrective matrix and terminate the simulation. PST can achieve regular particle distribution through shifting highly disordered particles while current PST is based on conventional SPH of poor accuracy. A number of numerical examples demonstrated that FPM-PST is a novel approach for modeling thermal particulate flows with good performance in accuracy and stability. It has better accuracy than the conventional SPH and can obtain comparable results with those from other sources. The unphysical voids can also be avoided by FPM-PST. From the FPM-PST simulations, it is observed that at relatively low Reynolds numbers thermal convection between hotter or colder particles and the fluid causes significant increase or decrease in the drag force acting on particles, while the thermal convection has little influence on the particle motion at relatively high Reynolds numbers.
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DOI:
10.1016/j.ijheatmasstransfer.2018.05.007
发表时间:
2018-11
影响因子:
5.2
作者:
K. Walayat;Zekun Wang;K. Usman;Moubin Liu
通讯作者:
K. Walayat;Zekun Wang;K. Usman;Moubin Liu
DOI:
10.1080/10407790590935975
发表时间:
2005-07
期刊:
Numerical Heat Transfer, Part B: Fundamentals
影响因子:
--
作者:
J. R. Pacheco;A. Pacheco-Vega;T. Rodić;R. Peck
通讯作者:
J. R. Pacheco;A. Pacheco-Vega;T. Rodić;R. Peck
影响因子:
5
作者:
Moubin Liu;W. Xie;Guirong Liu
通讯作者:
Moubin Liu;W. Xie;Guirong Liu
DOI:
10.1016/s0045-7825(01)00254-7
发表时间:
2001-01-01
影响因子:
7.2
作者:
Gray, JP;Monaghan, JJ;Swift, RP
通讯作者:
Swift, RP
影响因子:
1
作者:
Wan, DC;Patnaik, BSV;Wei, GW
通讯作者:
Wei, GW