Optimized cross-slot microdevices for homogeneous extension

Francisco J. Galindo-Rosales*a, Mónica S. N. Oliveirab and Manuel A. Alvesa
aCentro de Estudos de Fenómenos de Transporte (CEFT), Departamento de Engenharia Química, Faculdade de Engenharia da Universidade do Porto, Rua Dr Roberto Frias s/n, 4200-465 Porto, Portugal. E-mail: galindo@fe.up.pt; curro@galindorosales.com; Fax: +351 22508 1440; Tel: +351 22508 1079
bJames Weir Fluids Laboratory, Department of Mechanical and Aerospace Engineering, University of Strathclyde, Glasgow G1 1XJ, United Kingdom

Received 2nd December 2013 , Accepted 2nd January 2014

First published on 6th January 2014


Abstract

Microfluidic cross-slot devices can generate wide regions of vorticity-free strong extensional flow near the stagnation point, resulting in large extensional deformation and orientation of the microstructure of complex fluids, with possible applications in extensional rheometry and hydrodynamic stretching of single cells or molecules. Standard cross-slot devices, with sharp or rounded corners, generate a flow field with a non-homogeneous extension rate that peaks at the stagnation point, but decays significantly with distance from the stagnation point. To circumvent this limitation, an optimized shape cross-slot extensional rheometer (OSCER) was designed numerically and shown to generate constant extension rate over a wide region of the in- and out-flowing symmetry planes [Haward et al., Phys. Rev. Lett., 2012, 109, 128301]. Since the OSCER device was based on a 2D flow approximation, the practical implementation requires a large aspect ratio, which cannot be reproduced by standard soft-lithography techniques. Here, we propose a set of new designs for optimized cross-slot geometries, considering aspect ratios of order 1 and different lengths of the homogeneous inlet/outlet-flow regions. Micro-particle image velocimetry experiments were carried out in order to validate the flow kinematics, and the velocity profiles were found to be linear along the in- and outflow centrelines in good quantitative agreement with the numerical predictions.


1 Introduction

Among the microdevices that generate stagnation-point flows with strong extensional behaviour, the cross-slot device is arguably the configuration which has attracted most attention due to its simple geometry and easy flow control.1 The standard cross-slot geometry consists of two channels bisecting orthogonally and is a classical geometry for the generation of extensional flow when the opposing inlets and outlets are supplied with equal flow rates. In this configuration, it is possible to generate a free stagnation point at the centre of the cross, i.e. a singular point of zero flow velocity, which combined with a very large residence time and a finite velocity gradient, allows the accumulation of very high Hencky strains and large extensional stresses near the centre.2 These features have made this flow configuration very appropriate for the analysis of elastic instabilities,3–7 extensional rheometry of viscoelastic fluids1,6,8–11 and for trapping molecules or cells by hydrodynamic means while subjecting them to a strong extensional deformation rate.12–23

Despite its intrinsic potential, the standard cross-slot geometry is only able to generate a uniform extension rate in a short region near the stagnation point.6 To circumvent this limitation and provide a geometry with homogeneous extensional flow along a wide region near the stagnation point, Haward et al.24 investigated an optimized shape cross-slot extensional rheometer (OSCER), with a geometrical shape determined using the numerical optimization scheme developed by Alves.25 The OSCER device requires an aspect ratio (H/W) of order 10 or above, to generate an approximately two-dimensional (2D) flow that provides a nominally constant extension rate over a spatial domain of about 15 times the width (W) of its arms. Precisely, because the OSCER device is based on a 2D flow approximation, when fabricated in poly(dimethylsiloxane) (PDMS) by soft lithography techniques that limit the aspect ratio of the channel to moderate values, the influence of the end-walls distort the flow field and the OSCER-shaped device is not able to generate a uniform well-defined extension rate inside the cross-chamber, preventing its use by a wider community that fabricates low aspect ratio microchannels in PDMS.26,27 We present here a new set of optimized cross-slot microdevices considering aspect ratios (AR) of order 1, namely AR = 0.5, 1 and 2. Because the flow is three-dimensional in such devices, hereafter we refer to them as optimized 3D cross-slot microchannels. These designs were fabricated in PDMS by replica mould technique, and the resulting hydrodynamics was validated by means of micro-particle image velocimetry (μPIV) experiments carried out over a wide range of Reynolds number (Re ∈ [10−2, 102]) and compared with those obtained for the standard cross-slot and an OSCER-shaped device, both fabricated in PDMS with AR = 1.

2 Materials and methods

2.1 Optimal shape design methodology

In this work, we used the algorithm for optimal shape design of viscoelastic fluid flow developed by Alves,25 which in summary consists of a combination of three major components: a fully-automated mesh generator program; a viscoelastic fluid flow solver;28,29 and the CONDOR30 optimizer. The methodology aims to find the shape of a cross-slot microfluidic device capable of achieving optimal performance, which corresponds to a prescribed objective function. We considered the goal of the optimization to search for the microfluidic device shape that generates an ideal planar extensional flow in the mid-plane at the inlet and outlet centrelines with image file: c3ra47230b-t1.tif, where ux and uy are the x- and y-velocity components, [small epsi, Greek, dot above] is the strain-rate, Uc is the centreline fully-developed velocity at the inlet/outlet channels, and Lext is the length, measured along the centrelines, where a homogeneous extensional flow with constant strain-rate is observed. Starting from an initial estimate of the design variable vector X0, which parametrizes the shape of the flow geometry, the initial mesh is generated and the CFD simulation is undertaken. From the numerical solution the objective function is evaluated, and this information is sent to the optimizer (Fig. 1(a)).
image file: c3ra47230b-f1.tif
Fig. 1 Optimal shape design procedure. (a) Schematic illustration of the optimization flowchart, (b) top-view of an exemplifying optimized design and corresponding mesh, (c) 3D illustration of the optimized design including the geometric parameters, (d) target velocity and strain-rate profiles along the vertical centreline (x = 0).

This process is repeated for a number of design variable parameters, supplied by the optimizer, until the optimal shape is found. Due to the symmetry of the flow geometry, only the first quadrant of the cross-slot geometry is optimized, and the remaining walls are obtained assuming geometrical symmetry. The initial estimate used corresponds to a rounded cross-slot geometry with a characteristic radius R. The CFD flow solver is a finite-volume code developed for simulation of laminar flows of viscoelastic fluids described by differential-type constitutive equations. The numerical technique is described in detail in the works of Oliveira et al.28 and Oliveira et al.31 The governing equations are those expressing conservation of mass of an incompressible Newtonian fluid, ∇·u = 0, and the momentum equation, image file: c3ra47230b-t2.tif, with image file: c3ra47230b-t3.tif representing the material derivative of u, ρ is the fluid density, t is the time, p is the pressure and μ is the dynamic viscosity of the fluid. Creeping flow (Stokes flow) conditions are obtained by neglecting the material derivative term in the left hand side of the momentum equation.

In this work, we have optimized seven different cross-slot microchannels, based on three geometric parameters (Fig. 1): the radius (R) of the rounded cross-slot geometry used as initial guess, the length where an uniform extension rate (Lext) is required along the centrelines and the aspect ratio of the microchannel (AR = H/W). All the geometries are defined in Table 1, where H represents the channel depth and W the inlet/outlet channel widths. Thus, for instance, the geometry named as L2R2.5AR1 has been optimized for a value of Lext = 2W, a radius R = 2.5(W/2) and for an aspect ratio of H/W = 1.

Table 1 Characteristic dimensions of the cross-slot microdevices
3D optimized cross-slot H [μm] W [μm] Lext [μm] R [μm]
(a) L2R2.5AR1 100 100 200 125
(b) L3R4AR1 100 100 300 200
(c) L5R6AR1 100 100 500 300
(d) L5R8AR0.5 50 100 500 400
(e) L5R8AR1 100 100 500 400
(f) L5R8AR2 200 100 500 400
(g) L10R10AR1 100 100 1000 500
(h) Standard 100 100 ∼150
(i) OSCER-shaped 100 100 1500 1000


Fig. 2 shows the normalized velocity profiles (uy/U) along the vertical (outflow) centreline at different z-planes, where U is the average velocity in the inlet/outlet channels, and the corresponding extension rate ([small epsi, Greek, dot above]) profiles resulting from the 3D optimization of cross-slot microchannel using a Newtonian fluid under creeping flow conditions. These profiles follow the expected target functions closely, with a linear variation of the velocity profile in the region of envisaged constant strain-rate and showing sharp transitions at the end of this defined zone of constant extension rate, thus providing an excellent control of the extension rate to which the fluid or the object being analysed is subjected to in the central cross chamber of the device. However, there is a clear gradient of extension rate in the z-direction (along depth), with the strain-rate reaching its maximum value at the mid-plane and decreasing towards the bottom/top walls as a direct consequence of the no-slip condition at the end-walls. Despite this strain-rate gradient, we should highlight that the uniformity of the extension rate profiles at each z-plane is maintained. The non-negligible gradient of extension rate along the depth of the channel may limit somehow the applicability of these 3D optimized cross-slot devices for extensional microfluidic rheometry, since it can have repercussions on the extra pressure drop, as well as on flow induced birefringence measurements, which rely on a cumulative measurement of the retardation throughout the light path (depth of the channel). However, we note that near the centreplane the variation of the strain-rate with the depth is moderate, as illustrated in Fig. 2(b). For the profiles at z/(H/2) = 0.2 and z/(H/2) = 0.4, a variation of 20% and 40% along z corresponds to a variation of 3.7% and 14%, respectively, in the strain-rate with regards to the centreplane (z/(H/2) = 0). In the particular case of applications involving the stretching of single macromolecules or cells, because these specimens can be trapped in the central region of the cross chamber at the mid-plane, the uniformity of the extension profiles around the mid-plane generated by these 3D optimized cross-slots is a promising leap forward towards the mechanical characterisation of molecules and cells in lab-on-a-chip devices under well controlled homogeneous extensional flow conditions.


image file: c3ra47230b-f2.tif
Fig. 2 Numerical profiles in a 3D optimized cross-slot microchannel (L5R8AR1) along the outlet centrelines (x = 0) for a range of z-planes and for creeping flow. (a) Normalized velocity profiles; (b) corresponding normalized strain-rate profiles.

2.2 Experiments

The optimized shapes were fabricated in PDMS from SU-8 photoresist moulds using standard soft-lithography techniques. A high-resolution chrome mask was employed to obtain high quality SU-8 moulds with nearly vertical side-walls and well-defined corner features. Fig. 3 shows scanning electron microscopy (SEM) images of all optimized cross-slot microdevices used in the present study. The Cartesian coordinate system used in our measurements is located on the mid-plane at the centre of the cross chamber. Using the Matlab® Image Processing Toolbox™ and bright field microcopy images, we have confirmed that the numerical designs were reproduced in the PDMS channels with a deviation in the dimensions below 5% of the channel width. The depth of the devices and the channel width of the inlet/outlet arms are indicated in Table 1.
image file: c3ra47230b-f3.tif
Fig. 3 Scanning electron microscopy (SEM) images of the cross-slots used in this work as described in Table 1. In cases (a)–(h) a top-view is shown, while in case (i) a perspective view is illustrated.

The experimental results presented here were obtained using distilled water as working fluid. All the experiments were carried out at an average temperature of 295 K, for which the dynamic viscosity and the density of distilled water are μ = 0.96 mPa s and ρ = 997.8 kg m−3, respectively.

The flow in the cross chamber was characterized experimentally using μPIV32,33 following the procedure detailed by Oliveira et al.34 A CCD camera (FlowSense 4M camera, Dantec Dynamics) connected to an inverted microscope (Leica DMI 5000 M) with 10× and 20× objective lenses (numerical aperture, NA = 0.30 and NA = 0.5, respectively) and a filter cube were used to acquire the images in the mid-plane (z = 0). For volume illumination of the flow, we used a double-pulsed Nd:YAG laser system operating at a wavelength of λ = 532 nm. As tracer particles, we used 1 μm diameter fluorescent particles (FluoSphere carboxylate-modified, nile red, Ex/Em = 535/575 nm) at a concentration of ∼0.02% by volume. The time lapse between two consecutive frames was adjusted depending on the flow rate. For all cases, a minimum of 100 image pairs were recorded, divided into interrogation areas of 32 × 32 pixels. These images were processed and ensemble averaged using the DynamicStudio software (version 2.30.47, Dantec Dynamics).

The flow rate was controlled by means of a neMESYS low pressure syringe pump (Cetoni GmbH) with three independent modules. The flow rates considered ranged from 2 μl h−1 to 36 ml h−1 in order to cover Reynolds numbers from 10−2 up to 102 in all the geometries. Depending on the flow rate different Hamilton syringes (25 μl, 500 μl and 1 ml) were used to ensure pulsation-free dosing. Three pumps controlled two inlet and one outlet flow rates, while the remaining outlet was left open to the atmosphere to balance the flow.

3 Results and discussion

The exact length of the extension region (Lext) associated with the standard cross-slot is not obvious a priori, but our μPIV measurements revealed that Lext ≈ 1.5W (Fig. 4(a)). For that reason, we compare directly the standard cross-slot with the geometry optimized using a similar Lext (L2R2.5AR1) to compare their performances. Fig. 4(b) shows the velocity profiles obtained for the 3D optimized cross-slot L2R2.5AR1 at Re ranging from 0.025 to 5, revealing that the length of quasi-uniform strain-rate is indeed Lext ≈ 2W. Fig. 4(c) compares the velocity profiles between both cross-slots at Re = 0.75 and Re = 5. It is evident that the profile in the 3D optimized cross-slot is clearly linear (within experimental uncertainty) in the zone of extension, following the numerically predicted profiles, while the one given by the standard cross-slot shows a sigmoidal shape. By means of numerical derivatives we calculated the extension rate profiles along the outlet centreline (image file: c3ra47230b-t4.tif), and Fig. 4(d) clearly shows that the extension rate profile is significantly more uniform for the optimized cross-slot. Given the typical small oscillations observed in the experimental results, due to the experimental errors of the μPIV technique, the calculation of the strain-rate from the derivative of the velocity profile requires a careful analysis. To avoid the high (spatial) frequency oscillation in the computed strain-rate that would occur, we fitted the velocity profiles according to the general expression image file: c3ra47230b-t5.tif and determined the parameters a, b and p that minimize the square of the differences between the fitted expression and the experimental measurements. This function has the asymptotes uy = ay for small |y| and uy = b for |y| ≫ Lext, as expected for the optimized shape. The strain-rates shown in Fig. 4(d) are computed from the derivative of this fitted function (the same was done in Fig. 2(b)).
image file: c3ra47230b-f4.tif
Fig. 4 Standard cross-slot vs. 3D optimized cross-slot (L2R2.5AR1): velocity profiles measured at the mid-plane along the centreline (x = 0, z = 0) for Reynolds numbers ranging from 0.025 to 5 in (a) the standard cross-slot, and (b) the 3D optimized cross-slot; (c) comparison between the target velocity profiles (lines) and those obtained experimentally for the standard cross-slot (solid symbols) and the 3D optimized cross-slot (hollow symbols) at Re = 0.75 and 5; (d) comparison between the extension rate ([small epsi, Greek, dot above]) generated for the standard cross-slot (solid symbols) and the 3D optimized cross-slot (hollow symbols) for Reynolds numbers ranging from 0.025 to 5.

As the optimization was carried out for creeping flow conditions, the uniformity of the strain-rate profiles and the length of uniform extension is only close to expected values at low Re. When the flow conditions deviate significantly from inertialess flow conditions the strain-rate field becomes less homogeneous (Re ≳ 10), even for the channels with the largest aspect ratio as shown in Fig. 5. This does not mean that it is impossible to achieve a uniform extension rate at higher values of Re, but instead it requires the optimization of a new geometry taking into account the convective terms in the momentum equation. However, it is not practical to have different geometries for different values of Re and therefore we have restricted our analysis to low Re, since these conditions are easily met and are relevant for microfluidics.


image file: c3ra47230b-f5.tif
Fig. 5 Working away from the optimized flow conditions. Normalized velocity profiles measured along the inlet (hollow symbols) and outlet (semi-solid symbols) centrelines at the mid-plane (z = 0) for non-creeping flow conditions in the 3D optimized cross-slot L5R8AR2.

Fig. 6(a) shows a comparison between the normalized velocity profiles measured for the 3D optimized cross-slot microdevices, the OSCER-shaped device and the standard cross-slot. At AR = 1, the OSCER-shaped device and the standard cross-slot are clearly not as effective in obtaining a homogeneous flow field along the outlet centrelines, while the velocity profiles in the extension dominated region are clearly linear for all the optimized devices and the region of uniform extension rate for each one has the predicted length. As a consequence, playing with the flow rate (Q) and the length of the extension region (Lext), it is possible to reach whichever position in the [small epsi, Greek, dot above] − Re parameter space (Fig. 6(b)) required, as long as Re is low (Re ≲ 10). Thus, with our optimal shape design approach it is possible to create a 3D optimized cross-slot device on demand depending on the requirements for controlled extensional flow.


image file: c3ra47230b-f6.tif
Fig. 6 Length of the extension regions in the 3D optimized cross-slots. (a) Normalized velocity profiles measured at the outlet centreline (x = 0, z = 0) for each 3D optimized cross-slot at Re = 0.1. (b) Extension rate ([small epsi, Greek, dot above]) generated for the 3D optimized cross-slots, the standard cross-slot and the OSCER-shaped device as a function of Re.

4 Conclusions

A range of 3D optimized cross-slot devices were designed numerically in order to generate homogeneous extensional flows. The devices were optimized considering aspect ratios of order 1, with the purpose of exploring the widespread use and the benefits of soft lithography techniques for microfabrication. These 3D optimized cross-slots showed a significantly improved performance in comparison with the standard cross-slot, in which the flow field exhibits a nonhomogeneous extension rate that peaks at the stagnation point. The enhanced homogeneity of the extensional flow in the optimized designs, where the velocity varies linearly with distance from the centre in a wide region along the inflow/outflow centrelines, has great potential for a number of applications, such as those related to extensional micro-rheometry or mechanical characterisation of droplets, molecules or cells by means of hydrodynamic stretching. Depending on the application and the range of strain-rates required, the most appropriate geometry can be selected or tuned on demand, highlighting the potential of our shape-optimization approach for efficient microfluidic device design.

Acknowledgements

The authors acknowledge Fundação para a Ciência e a Tecnologia (FCT), FEDER and COMPETE through scholarship SFRH/BPD/69663/2010 and projects PTDC/EME-MFE/114322/2009 and PTDC/EQU-FTT/118716/2010. MSNO also acknowledges EPSRC through grant EP/L013118/1. The authors would also like to acknowledge Dr Simon J. Haward and Dr L. Campo-Deaño for helpful discussions and comments.

References

  1. F. J. Galindo-Rosales, M. A. Alves and M. S. N. Oliveira, Microfluid. Nanofluid., 2013, 14(1–2), 1–19 CrossRef CAS.
  2. S. J. Haward and G. H. McKinley, Phys. Rev. E: Stat., Nonlinear, Soft Matter Phys., 2012, 85, 031502 CrossRef.
  3. P. E. Arratia, C. C. Thomas, J. Diorio and J. P. Gollub, Phys. Rev. Lett., 2006, 96, 144502 CrossRef CAS.
  4. A. M. Afonso, M. A. Alves and F. T. Pinho, J. Non-Newtonian Fluid Mech., 2010, 165, 743–751 CrossRef CAS PubMed.
  5. S. J. Haward, Rheol. Acta, 2010, 49, 1219–1225 CrossRef CAS PubMed.
  6. S. J. Haward, T. J. Ober, M. S. N. Oliveira, M. A. Alves and G. H. McKinley, Soft Matter, 2012, 8, 536–555 RSC.
  7. N. Dubash, P. Cheung and A. Shen, Soft Matter, 2012, 8, 5847–5856 RSC.
  8. J. A. Odell and S. A. Carrington, J. Non-Newtonian Fluid Mech., 2006, 137, 110–120 CrossRef CAS PubMed.
  9. S. J. Haward, J. A. Odell, M. Berry and T. Hall, Rheol. Acta, 2011, 50, 869–879 CrossRef CAS.
  10. S. J. Haward, V. Sharma and J. A. Odell, Soft Matter, 2011, 7, 9908–9921 RSC.
  11. G. Juarez and P. E. Arratia, Soft Matter, 2011, 7, 9444–9452 RSC.
  12. E. S. G. Shaqfeh, J. Non-Newtonian Fluid Mech., 2005, 130, 1–28 CrossRef CAS PubMed.
  13. A. G. Balducci, J. Tang and P. S. Doyle, Macromolecules, 2008, 41, 9914–9918 CrossRef CAS.
  14. R. Dylla-Spears, J. E. Townsend, L. Jen-Jacobson, L. L. Sohn and S. J. Muller, Lab Chip, 2010, 10, 1543–1549 RSC.
  15. M. Tanyeri, E. M. Johnson-Chavarria and C. M. Schroeder, Appl. Phys. Lett., 2010, 96, 224101 CrossRef PubMed.
  16. M. Tanyeri, M. Ranka, N. Sittipolkul and C. M. Schroeder, Lab Chip, 2011, 11, 1786–1794 RSC.
  17. M. Curtis, G. J. Sheard and A. Fouras, Lab Chip, 2011, 11, 2343–2351 RSC.
  18. D. Gossett, H. T. K. Tse, S. A. Lee, Y. Ying, A. A. Lindgren, O. O. Yang, J. Rao, A. T. Clark and D. Di Carlo, Proc. Natl. Acad. Sci., 2012, 109(20), 7630–7635 CrossRef CAS PubMed.
  19. W. Xu and S. J. Muller, Lab Chip, 2012, 12, 647–651 RSC.
  20. W. Xu and S. J. Muller, Lab Chip, 2012, 11, 435–442 RSC.
  21. D. J. Mai, C. Brockman and C. M. Schroeder, Soft Matter, 2012, 8, 10560–10572 RSC.
  22. J. S. Dudani, D. R. Gosset, H. T. K. Tse and D. Di Carlo, Lab Chip, 2013, 13, 3728–3734 RSC.
  23. P. A. May and J. S. Moore, Chem. Soc. Rev., 2013, 42, 7497–7506 RSC.
  24. S. J. Haward, M. S. N. Oliveira, M. A. Alves and G. H. McKinley, Phys. Rev. Lett., 2012, 109, 128301 CrossRef.
  25. M. A. Alves, AIP Conf. Proc., 2008, 1027, 240–242 CrossRef PubMed.
  26. D. C. Duffy, J. C. McDonald, J. A. Schueller and G. M. Whitesides, Anal. Chem., 1998, 70, 4974–4984 CrossRef CAS PubMed.
  27. J. C. McDonald, D. C. Dufy, J. R. Anderson, D. T. Chiu, H. Wu and G. M. Whitesides, Electrophoresis, 2000, 21, 27–40 CrossRef CAS.
  28. P. J. Oliveira, F. T. Pinho and G. A. Pinto, J. Non-Newtonian Fluid Mech., 1998, 79(1), 1–43 CrossRef CAS.
  29. M. A. Alves, P. J. Oliveira and F. T. Pinho, Int. J. Numer. Methods Fluids, 2003, 1027, 47–75 CrossRef.
  30. F. V. Berghen and H. Bersini, J. Comput. Appl. Math., 2005, 181, 157–175 CrossRef PubMed.
  31. M. S. N. Oliveira, F. T. Pinho and M. A. Alves, J. Fluid Mech., 2012, 711, 171–191 CrossRef.
  32. J. G. Santiago, S. T. Wereley, C. Meinhart, D. J. Beebe and R. J. Adrian, Exp. Fluids, 1998, 25, 316–319 CrossRef CAS.
  33. C. D. Meinhart, S. T. Wereley and M. H. B. Gray, Meas. Sci. Technol., 2000, 11, 809–814 CrossRef CAS.
  34. M. S. N. Oliveira, M. A. Alves, F. T. Pinho and G. H. McKinley, Exp. Fluids, 2007, 43, 437–451 CrossRef PubMed.

Footnote

Electronic supplementary information (ESI) available: As an example, the profiles of the geometries L5R8AR0.5, L5R8AR1 and L5R8AR2 are provided. See DOI: 10.1039/c3ra47230b

This journal is © The Royal Society of Chemistry 2014
Click here to see how this site uses Cookies. View our privacy policy here.