Modeling shear-induced diffusion force in particulate flows

2009 ◽  
Vol 38 (4) ◽  
pp. 727-737 ◽  
Author(s):  
Prashant Tiwari ◽  
Steven P. Antal ◽  
Michael Z. Podowski
Keyword(s):  
Particulate Flows ◽  
Diffusion Force

A Novel Simulation Approach for Particulate Flows during Filtration

AIChE Journal ◽  
2020 ◽  
Author(s):  
Minhui Qi ◽  
Mingzhong Li ◽  
Rouzbeh G. Moghanloo ◽  
Tiankui Guo
Keyword(s):  
Simulation Approach ◽  
Particulate Flows

scholarly journals Effect of Cu Content on Performance of Sn-Zn-Cu Lead-Free Solder Alloys Designed by Cluster-Plus-Glue-Atom Model

Materials ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2335
Author(s):  
Jialong Qiu ◽  
Yanzhi Peng ◽  
Peng Gao ◽  
Caiju Li
Keyword(s):  
Tensile Strength ◽  
Solder Alloy ◽  
Tensile Tests ◽  
Melting Behavior ◽  
Second Phase ◽  
Solder Alloys ◽  
Cu Content ◽  
Diffusion Force ◽  
Fine Microstructure ◽  
Effect Of Copper

The mechanical properties of solder alloys are a performance that cannot be ignored in the field of electronic packaging. In the present study, novel Sn-Zn solder alloys were designed by the cluster-plus-glue-atom (CPGA) model. The effect of copper (Cu) addition on the microstructure, tensile properties, wettability, interfacial characterization and melting behavior of the Sn-Zn-Cu solder alloys were investigated. The Sn29Zn4.6Cu0.4 solder alloy exhibited a fine microstructure, but the excessive substitution of the Cu atoms in the CPGA model resulted in extremely coarse intermetallic compound (IMC). The tensile tests revealed that with the increase in Cu content, the tensile strength of the solder alloy first increased and then slightly decreased, while its elongation increased slightly first and then decreased slightly. The tensile strength of the Sn29Zn4.6Cu0.4 solder alloy reached 95.3 MPa, which was 57% higher than the plain Sn-Zn solder alloy, which is attributed to the fine microstructure and second phase strengthening. The spreadability property analysis indicated that the wettability of the Sn-Zn-Cu solder alloys firstly increased and then decreased with the increase in Cu content. The spreading area of the Sn29Zn0.6Cu0.4 solder alloy was increased by 27.8% compared to that of the plain Sn-Zn solder due to Cu consuming excessive free state Zn. With the increase in Cu content, the thickness of the IMC layer decreased owing to Cu diminishing the diffusion force of Zn element to the interface.

Comparison of Sharp Interface and Smoothed Profile Methods for Laminar Flow Analysis Over Stationary and Moving Boundaries

2014 ◽  
Author(s):  
Fazlolah Mohaghegh ◽  
John Mousel ◽  
H. S. Udaykumar
Keyword(s):  
Drag Coefficient ◽  
Immersed Boundary Method ◽  
Flow Analysis ◽  
Sharp Interface ◽  
Wake Flow ◽  
Immersed Boundary ◽  
Particulate Flows ◽  
Sharp Interface Method ◽  
Smoothed Profile Method ◽  
Coarse Grids

This study is a comparison of two techniques for simulation of particulate flows on fixed Cartesian grids: Sharp interface Method (SIM) (Udaykumar et al., 2001, 2002, 2003) and a modified version of Immersed Boundary Method (Peskin, 1977) (IBM) known as Smoothed Profile Method (SPM) (Nakayama and Yamamoto, 2005; Luo et. al, 2009). Different cases were studied includes flow over one or two moving and stationary particles. Predictions of the drag coefficient shows that SPM and SIM are very close to the experiments. SIM slightly under-predicts the value of the drag coefficient while SPM has a small over-estimation. Moreover, SPM is more accurate on coarse grids. However, with refinement of the grid SIM approaches the exact values very fast leading to better results on fine grids. Flow pattern and vortex structures of SPM and SIM are almost the same. Both methods are capable of analyzing the wake flow. Unlike SIM, SPM is able to simulate the flow when two particles are in contact. When two particles are in motion and are very close in a way that the two interfaces overlap, SPM shows a repulsion force between two spheres which reduces the accuracy in comparison with SIM. However, SPM can achieve the collision of two particles without problem.

A distributed Lagrange multiplier/fictitious domain method for viscoelastic particulate flows

2000 ◽  
Vol 91 (2-3) ◽  
pp. 165-188 ◽  
Author(s):  
P. Singh ◽  
D.D. Joseph ◽  
T.I. Hesla ◽  
R. Glowinski ◽  
T.-W. Pan
Keyword(s):  
Lagrange Multiplier ◽  
Fictitious Domain ◽  
Particulate Flows ◽  
Fictitious Domain Method ◽  
Domain Method

scholarly journals DDPM-DEM Simulations of Particulate Flows in Human Tracheobronchial Airways

2013 ◽  
Author(s):  
Yu Feng ◽  
Clement Kleinstreuer
Keyword(s):  
Computational Models ◽  
Phase Model ◽  
Dispersed Phase ◽  
Particulate Flows ◽  
Lagrange Method ◽  
Dense Particle ◽  
Diverse Range ◽  
Particle Flows ◽  
Dominant Feature ◽  
The One

Dense particle-suspension flows in which particle-particle interactions are a dominant feature encompass a diverse range of industrial and geophysical contexts, e.g., slurry pipeline, fluidized beds, debris flows, sediment transport, etc. The one-way dispersed phase model (DPM), i.e., the conventional one-way coupling Euler-Lagrange method is not suitable for dense fluid-particle flows [1]. The reason is that such commercial CFD-software does not consider the contact between the fluid, particles and wall surfaces with respect to particle inertia and material properties. Hence, two-way coupling of the Dense Dispersed Phase Model (DDPM) combined with the Discrete Element Method (DEM) has been introduced into the commercial CFD software via in-house codes. As a result, more comprehensive and robust computational models based on the DDPM-DEM method have been developed, which can accurately predict the dynamics of dense particle suspensions. Focusing on the interaction forces between particles and the combination of discrete and continuum phases, inhaled aerosol transport and deposition in the idealized tracheobronchial airways [2] was simulated and analyzed, generating more physical insight. In addition, it allows for comparisons between different numerical methods, i.e., the classical one-way Euler-Lagrange method, two-way Euler-Lagrange method, EL-ER method [3], and the present DDPM-DEM method, considering micron- and nano-particle transport and deposition in human lungs.

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