• Chỉ mục bởi
  • Năm xuất bản

Pore network modeling of phase distribution and capillary force evolution during slow drying of particle aggregates

Pham Thermal Process Engineering, Otto von Guericke University Magdeburg, P.O. 4120, Magdeburg, 39016, Germany|
Abdolreza (37023394500) | Evangelos (7003540632); Kharaghani | Son Thai (57762140100); Chareyre Thermal Energy Engineering Department, School of Mechanical Engineering, Hanoi University of Science and Technology, Hanoi, Viet Nam|

Powder Technology Số , năm 2022 (Tập 407, trang -)

ISSN: 325910

ISSN: 325910


Tài liệu thuộc danh mục:



Từ khóa: Drying; Finite difference method; Heat convection; Liquids; Morphology; Size distribution; Solvents; Spatial distribution; Triangulation; Capillary force; Capillary force evolution; Discrete elements method; Fluid solid interaction; Liquid Phase; Liquid phasis; Particle aggregates; Pore-network modeling; Slow drying; Void space; algorithm; article; decomposition; discrete element analysis; evaporation; kinetics; prediction; simulation; surface tension; throat; Aggregates
Tóm tắt tiếng anh
The spatial distribution of the liquid phase plays a crucial role for the damage and the deformation of particle aggregates during convective drying. In this paper, a three-dimensional triangulation pore network model (TPNM) is developed that can readily predict the global drying kinetics of particle aggregates and simulate the liquid phase distribution over time in the void space of aggregates made from spherical primary particles with different size distributions in the micrometer range. The discrete element method (DEM) is used to numerically generate the aggregates, whereby the complementary void space is decomposed into pores and throats using the regular Delaunay triangulation and its dual Voronoi tessellation. A modified version of the classical invasion percolation algorithm is set up to describe the preferential evaporation of the liquid confined in the pores. The liquid phase distribution obtained from isothermal drying TPNM simulations captures the evolution of phase patterns measured experimentally better than the prediction of the classical pore network model (CPNM) and the ring pore network model (RPNM). Local capillary forces caused by both fluid pressure and surface tension are computed over time from the filling state of pores. Taking a monodisperse particle aggregate as a reference, the size and spatial distributions of the primary particles are varied to represent the change in the corresponding void space morphology. The simulation results indicate the impact of the pore-scale heterogeneity on the spatial distribution of the liquid phase as well as the capillary forces during convective drying of particle aggregates. � 2022 Elsevier B.V.

Xem chi tiết