A Quantitative Comparison of Physical Accuracy and Numerical Stability of Lattice Boltzmann Color Gradient and Pseudopotential Multicomponent Models for Microfluidic Applications  

作　　者：Karun P.N.Datadien Gianluca Di Staso Herman M.A.Wijshoff Federico Toschi 

机构地区：[1]Department of Applied Physics,Eindhoven University of Technology,5612 AZ Eindhoven,Netherlands [2]FLOW Matters Consultancy B.V.,5612AE,Eindhoven,The Netherlands [3]Department of Mechanical Engineering,Eindhoven University of Technology,5612 AZ Eindhoven,Netherlands [4]Canon Production Printing Netherlands B.V.,5914 HH,Venlo,The Netherlands [5]Department of Mathematics and Computer Science,Eindhoven University of Technology,5612 AZ Eindhoven,Netherlands [6]Istituto per le Applicazioni del Calcolo,Consiglio Nazionale delle Ricerche,00185 Rome,Italy

出　　处：《Communications in Computational Physics》2022年第7期450-489,共40页计算物理通讯（英文）

基　　金：part of the Netherlands Organization for Scientific Research(NWO)research project High Tech Systems and Materials(HTSM),with project number 13912;the NWO and co-financers Canon Production Printing Holding B.V.,University of Twente and Eindhoven University of Technology for financial support.

摘　　要：The performances of the Color-Gradient(CG)and the Shan-Chen(SC)multicomponent Lattice Boltzmann models are quantitatively compared side-by-side on multiple physical flow problems where breakup,coalescence and contraction of fluid ligaments are important.The flow problems are relevant to microfluidic applications,jetting of microdroplets as seen in inkjet printing,as well as emulsion dynamics.A significantly wider range of parameters is shown to be accessible for CG in terms of density-ratio,viscosity-ratio and surface tension values.Numerical stability for a high density ratio O(1000)is required for simulating the drop formation process during inkjet printing which we show here to be achievable using the CG model but not using the SC model.Our results show that the CG model is a suitable choice for challenging simulations of droplet formation,due to a combination of both numerical stability and physical accuracy.We also present a novel approach to incorporate repulsion forces between interfaces for CG,with possible applications to the study of stabilized emulsions.Specifically,we show that the CG model can produce similar results to a known multirange potentials extension of the SC model for modelling a disjoining pressure,opening up its use for the study of dense stabilized emulsions.

关 键 词：Lattice Boltzmann method multiphase flow multicomponent flow inkjet printing turbulent emulsion 

分 类 号：O17[理学—数学]