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Numerical simulation of fluid flow mixing in flow-focusing microfluidic devices

  • Halimeh Aghaei and Ali Reza Solaimany Nazar EMAIL logo
Published/Copyright: February 9, 2023
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Abstract

A numerical simulation through computational fluid dynamics is presented on the fluid flow mixing in a flow-focusing microfluidic device with three inlet channels confluence angles of 45, 67.5, and 90°. The effect of various parameters such as aspect ratio (0.5, 1, and 1.5), mixing channel length (1–4 mm), and Reynolds number (1–20) on the mixing efficiency, and the pressure drop are evaluated. The results demonstrate that the increase in mixing efficiency results from an increase in the Reynolds number and aspect ratio for all the angles. In addition, an increase in the pressure drop due to an increase in the Reynolds number and a decrease in the aspect ratio is observed. A longer length of the mixing channel indicates a higher mixing efficiency. The mixing efficiency is more suitable at an angle of 45° among the applied angles in terms of the operational and geometric parameters due to an increase in the contact surface of the flows at the inlet channels junction since the mixing index range is between 0.54 and 1 by varying the mentioned parameters.


Corresponding author: Ali Reza Solaimany Nazar, Department of Chemical Engineering, University of Isfahan, Isfahan, Iran, E-mail:

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

References

1. Aghaei, H, Nazar, ARS. Continuous production of the nanoscale liposome in a double flow-focusing microfluidic device. Ind Eng Chem Res 2019;58:23032–45. https://doi.org/10.1021/acs.iecr.9b04079.Search in Google Scholar

2. Naher, S, Orpen, D, Brabazon, D, Poulsen, CR, Morshed, MM. Effect of micro-channel geometry on fluid flow and mixing. Simulat Model Pract Theor 2011;19:1088–95. https://doi.org/10.1016/j.simpat.2010.12.008.Search in Google Scholar

3. Heshmatnezhad, F, Aghaei, H, Nazar, ARS. Parametric study of obstacle geometry effect on mixing performance in a convergent-divergent micromixer with sinusoidal walls. Chem Prod Process Model 2017;12:20160025. https://doi.org/10.1515/cppm-2016-0025.Search in Google Scholar

4. Vijayanandh, V, Pradeep, A, Suneesh, PV, Babu, TGS. Design and simulation of passive micromixers with ridges for enhanced efficiency. In: IOP conf. ser. mater. sci. eng. IOP Publishing; 2019:12106 p.10.1088/1757-899X/577/1/012106Search in Google Scholar

5. Meijer, HEH, Singh, MK, Kang, TG, Den Toonder, JM, Anderson, PD. Passive and active mixing in microfluidic devices. In: Macromol. symp. Wiley Online Library; 2009:201–9 pp.10.1002/masy.200950530Search in Google Scholar

6. Wlodkowic, D, Cooper, JM. Tumors on chips: oncology meets microfluidics. Curr Opin Chem Biol 2010;14:556–67. https://doi.org/10.1016/j.cbpa.2010.08.016.Search in Google Scholar PubMed

7. Pradeep, A, Raveendran, J, Ramachandran, T, Nair, BG, TG, SB. Computational simulation and fabrication of smooth edged passive micromixers with alternately varying diameter for efficient mixing. Microelectron Eng 2016;165:32–40. https://doi.org/10.1016/j.mee.2016.08.009.Search in Google Scholar

8. Aghaei, H, Nazar, ARS, Varshosaz, J. Double flow focusing microfluidic-assisted based preparation of methotrexate–loaded liposomal nanoparticles: encapsulation efficacy, drug release and stability. Colloids Surfaces A Physicochem. Eng. Asp. 2021;614:126166. https://doi.org/10.1016/j.colsurfa.2021.126166.Search in Google Scholar

9. Heshmatnezhad, F, Nazar, ARS. On-chip controlled synthesis of polycaprolactone nanoparticles using continuous-flow microfluidic devices. J Flow Chem 2020;10:533–43. https://doi.org/10.1007/s41981-020-00092-8.Search in Google Scholar

10. Heshmatnezhad, F, Nazar, ARS. Polycaprolactone nanoparticles synthesis in the presence of two surfactants through flow-focusing microfluidic-assisted nanoprecipitation. Chem Eng Technol 2020;43:2073–82.10.1002/ceat.202000222Search in Google Scholar

11. Zhang, T, Zou, X, Xu, L, Pan, D, Huang, W. Numerical investigation of fluid property effects on formation dynamics of millimeter-scale compound droplets in a co-flowing device. Chem Eng Sci 2021;229:116156. https://doi.org/10.1016/j.ces.2020.116156.Search in Google Scholar

12. Kennedy, MJ, Ladouceur, HD, Moeller, T, Kirui, D, Batt, Ca. Analysis of a laminar-flow diffusional mixer for directed self-assembly of liposomes. Biomicrofluidics 2012;6:1–14. https://doi.org/10.1063/1.4772602.Search in Google Scholar PubMed PubMed Central

13. Jiang, X, Yang, N, Wang, R. Effect of aspect ratio on the mixing performance in the kenics static mixer. Processes 2021;9:464. https://doi.org/10.3390/pr9030464.Search in Google Scholar

14. Jian, SJ, Lin, MJ. Effect of smooth microchannel cross section shape on friction factor. In: 2006 1st IEEE int. conf. nano/micro eng. mol. syst. IEEE; 2006:1080–3 pp.10.1109/NEMS.2006.334635Search in Google Scholar

15. Lobasov, AS, Minakov, AV, Kuznetsov, VV, Rudyak, VY, Shebeleva, AA. Investigation of mixing efficiency and pressure drop in T-shaped micromixers. Chem. Eng. Process. Intensif. 2018;134:105–14. https://doi.org/10.1016/j.cep.2018.10.012.Search in Google Scholar

16. Ansari, MA, Kim, KY, Kim, SM. Numerical study of the effect on mixing of the position of fluid stream interfaces in a rectangular microchannel. Microsyst Technol 2010;16:1757–63. https://doi.org/10.1007/s00542-010-1100-2.Search in Google Scholar

17. Kunstmann-Olsen, C, Hoyland, JD, Rubahn, HG. Influence of geometry on hydrodynamic focusing and long-range fluid behavior in PDMS microfluidic chips. Microfluid Nanofluidics 2012;12:795–803. https://doi.org/10.1007/s10404-011-0923-1.Search in Google Scholar

18. Soon, CF, Yin, YH, Tee, KS, Ahmad, MK, Sahdan, MZ, Nayan, N. Influence of outlet channel width to the flow velocity and pressure of a flow focusing microfluidic device. In: IOP conf. ser. mater. sci. eng. IOP Publishing; 2016:12086 p.10.1088/1757-899X/160/1/012086Search in Google Scholar

19. Zhang, M, Lian, Y, Harnett, C, Brehob, E. Investigation of hydrodynamic focusing in a microfluidic coulter counter device. J Biomech Eng 2012;134:081001. https://doi.org/10.1115/1.4007091.Search in Google Scholar PubMed

20. Belousov, KI, Filatov, NA, Kukhtevich, IV, Kantsler, V, Evstrapov, AA, Bukatin, AS. An asymmetric flow-focusing droplet generator promotes rapid mixing of reagents. Sci Rep 2021;11:1–10. https://doi.org/10.1038/s41598-021-88174-y.Search in Google Scholar PubMed PubMed Central

21. Farahinia, A, Zhang, WJ. Numerical analysis of a microfluidic mixer and the effects of different cross-sections and various input angles on its mixing performance. J. Brazilian Soc. Mech. Sci. Eng. 2020;42:1–18. https://doi.org/10.1007/s40430-020-02275-9.Search in Google Scholar

22. Kim, GB, Park, YR, Kim, SJ, Park, KH. Effect of intersection angle of input channels in droplet generators. Molecules 2022;27:1791. https://doi.org/10.3390/molecules27061791.Search in Google Scholar PubMed PubMed Central

23. Parsa, MK, Hormozi, F, Jafari, D. Mixing enhancement in a passive micromixer with convergent–divergent sinusoidal microchannels and different ratio of amplitude to wave length. Comput Fluids 2014;105:82–90. https://doi.org/10.1016/j.compfluid.2014.09.024.Search in Google Scholar

24. Karimi, Y, Nazar, ARS, Motevasel, M. CFD simulation of nanofluid heat transfer considering the aggregation of nanoparticles in population balance model. J Therm Anal Calorim 2021;143:671–84. https://doi.org/10.1007/s10973-019-09218-0.Search in Google Scholar

25. Lashkaripour, ALI, Mehrizi, AA, Goharimanesh, M, Rasouli, M, Bazaz, SR. Size-controlled droplet generation in a microfluidic device for rare dna amplification by optimizing its effective parameters. J Mech Med Biol 2018;18:1850002. https://doi.org/10.1142/s0219519418500021.Search in Google Scholar

26. Juraeva, M, Kang, DJ. Mixing performance of a cross-channel split-and-recombine micro-mixer combined with mixing cell. Micromachines 2020;11:685. https://doi.org/10.3390/mi11070685.Search in Google Scholar PubMed PubMed Central

27. Nurrahman, R, Shuib, A, Ku Shaari, KZ, Abdullah, MZ. Mesh sensitivity analysis of 3-dimensional microchannel for hydrodynamics simulation of one step urea synthesis. In 2013 IEEE Symposium on Humanities, Science and Engineering Research (SHUSER); 2013.Search in Google Scholar

28. Zhou, L, Nyberg, K, Rowat, AC. Understanding diffusion theory and Fick’s law through food and cooking. Adv Physiol Educ 2015;39:192–7. https://doi.org/10.1152/advan.00133.2014.Search in Google Scholar PubMed

29. Raza, W, Hossain, S, Kim, KY. A review of passive micromixers with a comparative analysis. Micromachines 2020;11:455. https://doi.org/10.3390/mi11050455.Search in Google Scholar PubMed PubMed Central

30. Jain, S, Unni, HN. Numerical modeling and experimental validation of passive microfluidic mixer designs for biological applications. AIP Adv 2020;10:105116. https://doi.org/10.1063/5.0007688.Search in Google Scholar

31. Das, SS, Tilekar, SD, Wangikar, SS, Patowari, PK. Numerical and experimental study of passive fluids mixing in micro-channels of different configurations. Microsyst Technol 2017;23:5977–88. https://doi.org/10.1007/s00542-017-3482-x.Search in Google Scholar

32. Hossain, S, Kim, KY. Parametric investigation on mixing in a micromixer with two-layer crossing channels. SpringerPlus 2016;5:1–16. https://doi.org/10.1186/s40064-016-2477-x.Search in Google Scholar PubMed PubMed Central

33. Khaydarov, V, Borovinskaya, ES, Reschetilowski, W. Numerical and experimental investigations of a micromixer with chicane mixing geometry. Appl Sci 2018;8:2458. https://doi.org/10.3390/app8122458.Search in Google Scholar

34. Cheri, MS, Latifi, H, Moghaddam, MS, Shahraki, H. Simulation and experimental investigation of planar micromixers with short-mixing-length. Chem Eng J 2013;234:247–55. https://doi.org/10.1016/j.cej.2013.08.067.Search in Google Scholar

Received: 2022-05-15
Accepted: 2023-01-19
Published Online: 2023-02-09

© 2023 Walter de Gruyter GmbH, Berlin/Boston

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