Particulate flows;
kinetic theory;
moment method;
particle trajectory crossing;
UNSTEADY EULERIAN SIMULATIONS;
LARGE-EDDY SIMULATION;
ORDER MOMENT METHOD;
MULTI-FLUID MODELS;
TURBULENT FLOWS;
PREFERENTIAL CONCENTRATION;
NUMERICAL APPROXIMATIONS;
BOLTZMANN-EQUATION;
KINETIC-THEORY;
DYNAMICS;
D O I:
10.4208/cicp.021213.140514a
中图分类号:
O4 [物理学];
学科分类号:
0702 ;
摘要:
The accurate simulation of disperse two-phase flows, where a discrete particulate condensed phase is transported by a carrier gas, is crucial for many applications;Eulerian approaches are well suited for high performance computations of such flows. However when the particles from the disperse phase have a significant inertia compared to the time scales of the flow, particle trajectory crossing (PTC) occurs i.e. the particle velocity distribution at a given location can become multi-valued. To properly account for such a phenomenon many Eulerian moment methods have been recently proposed in the literature. The resulting models hardly comply with a full set of desired criteria involving: 1- ability to reproduce the physics of PTC, at least for a given range of particle inertia, 2- well-posedness of the resulting set of P-DE's on the chosen moments as well as guaranteed realizability, 3- capability of the model to he associated with a high order realizable numerical scheme for the accurate resolution of particle segregation in turbulent flows. The purpose of the present contribution is to introduce a multi-variate Anisotropic Gaussian closure for such particulate flows, in the spirit of the closure that has been suggested for out-of-equilibrium gas dynamics and which satisfies the three criteria. The novelty of the contribution is three-fold. First we derive the related moment system of conservation laws with source terms, and justify the use of such a model in the context of high Knudsen numbers, where collision operators play no role. We exhibit the main features and advantages in terms of mathematical structure and realizability. Then a second order accurate and realizable MUSCL/HLL scheme is proposed and validated. Finally the behavior of the method for the description of PTC is thoroughly investigated and its ability to account accurately for inertial particulate flow dynamics in typical configurations is assessed.
机构:
Zhejiang Univ, Dept Mech, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R ChinaZhejiang Univ, Dept Mech, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China
Xia, Yan
Yu, Zhaosheng
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机构:
Zhejiang Univ, Dept Mech, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R ChinaZhejiang Univ, Dept Mech, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China
Yu, Zhaosheng
Lin, Zhaowu
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机构:
Zhejiang Univ, Dept Mech, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R ChinaZhejiang Univ, Dept Mech, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China
Lin, Zhaowu
Guo, Yu
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机构:
Zhejiang Univ, Dept Mech, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R ChinaZhejiang Univ, Dept Mech, State Key Lab Fluid Power & Mechatron Syst, Hangzhou 310027, Peoples R China
机构:
Kyushu Univ, Inst Math Ind, Fukuoka 8190395, Japan
Kyushu Univ, Int Inst Carbon Neutral Energy Res WPI I2 CNER, Fukuoka 8190395, JapanKyushu Univ, Inst Math Ind, Fukuoka 8190395, Japan
Matsue, Kaname
Tomoeda, Kyoko
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机构:
Setsunan Univ, Inst Fundamental Sci, Fac Sci & Engn, Neyagawa, Osaka 5728508, JapanKyushu Univ, Inst Math Ind, Fukuoka 8190395, Japan