A design rule for constant depth microfluidic networks for power-law fluids

被引:0
作者
Konstantinos Zografos
Robert W. Barber
David R. Emerson
Mónica S. N. Oliveira
机构
[1] University of Strathclyde,James Weir Fluids Laboratory, Department of Mechanical and Aerospace Engineering
[2] STFC Daresbury Laboratory,Centre for Microfluidics and Microsystems Modelling
来源
Microfluidics and Nanofluidics | 2015年 / 19卷
关键词
Non-Newtonian fluids; Power-law fluids; Shear-thinning and shear-thickening behaviour; Murray’s law; Bifurcating networks; Biomimetics;
D O I
暂无
中图分类号
学科分类号
摘要
A biomimetic design rule is proposed for generating bifurcating microfluidic channel networks of rectangular cross section for power-law and Newtonian fluids. The design is based on Murray’s law, which was originally derived using the principle of minimum work for Newtonian fluids to predict the optimum ratio between the diameters of the parent and daughter vessels in networks with circular cross section. The relationship is extended here to consider the flow of power-law fluids in planar geometries (i.e. geometries of rectangular cross section with constant depth) typical of lab-on-a-chip applications. The proposed design offers the ability to precisely control the shear-stress distributions and predict the flow resistance along the bifurcating network. Computational fluid dynamics simulations are performed using an in-house code to assess the validity of the proposed design and the limits of operation in terms of Reynolds number for Newtonian, shear-thinning and shear-thickening fluids under various flow conditions.
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页码:737 / 749
页数:12
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[1]  
Alves MA(2003)A convergent and universally bounded interpolation scheme for the treatment of advection Int J Numer Methods Fluids 41 47-75
[2]  
Oliveira PJ(2008)Optimal design of microfluidic networks using biologically inspired principles Microfluid Nanofluid 4 179-191
[3]  
Pinho FT(2005)The constructal law of organization in nature: tree-shaped flows and body size J Exp Biol 208 1677-1686
[4]  
Barber RW(2006)Constructal theory of generation of configuration in nature and engineering J Appl Phys 100 041301-752
[5]  
Emerson DR(2013)Microstructure devices for process intensification: influence of manufacturing tolerances and design Appl Therm Eng 59 745-1246
[6]  
Bejan A(2001)Generation of gradients having complex shapes using microfluidic networks Anal Chem 73 1240-80
[7]  
Bejan A(2014)Tissue-engineered kidney disease models Adv Drug Deliv Rev 69 67-260
[8]  
Lorente S(2010)Bio-microfluidics: biomaterials and biomimetic designs Adv Mater 22 249-454
[9]  
Brandner JJ(2006)Biomimetic design of microfluidic manifolds based on a generalised Murray’s law Lab Chip 6 447-159
[10]  
Dertinger SKW(2006)Geometrical focusing of cells in a microfluidic device: an approach to separate blood plasma Biorheology 43 147-356