Numerical and experimental study of the baffle-based split and recombine chamber (B-SARC) micromixers
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Sanjay A. Pawar
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Vimal Kumar Chouksey
Abstract
Microfluidic technology has garnered growing interest in diverse domains. The efficacy and precision of microfluidic devices are significantly influenced by micromixing processes. Micromixers, comprising microchannels designed to blend fluids within a confined space and limited flow pathway, constitute indispensable components of microfluidic systems. Among these components, the micromixer stands out as a critical element, tasked with achieving maximal mixing efficiency while imposing minimal pressure drop. This paper focusses on the numerical and experimental study the baffle-based split and recombine chamber (B-SARC) micromixers. The models of a curved wavy micromixer (without baffle) and the baffle-based split and recombine chamber (B-SARC) micromixers with three baffles such as square, triangular and teardrop shaped baffles been developed using COMSOL Multiphysics software. The mixing performance analysis has been carried out by studying the mixing index and pressure drop. The influence of baffle shapes i.e. square, triangular and teardrop shaped baffles of aspect ratio 1, 1.5 and 2 on mixing performance analysis has been investigated numerically, for widespread assortment of Reynolds numbers (Re) lies between 0.1 and 90. The polydimethylsiloxane (PDMS) baffle-based split and recombine chamber (B-SARC) micromixers have been fabricated. Further, the experimental analysis has been carried out. The experimental analysis for pressure drop as well as mixing index has been performed. A good agreement has been observed between experimental and computational results which leads to validation of the computational results. The results revel the role of diffusion at lower Reynolds numbers and the production of derivative flows owing to advection at higher Reynolds numbers within the considered range of Re.
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Research ethics: Not Applicable.
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Author contributions: The author(s) have (has) accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: The author(s) state(s) no conflict of interest.
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Research funding: None declared
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Data availability: Not applicable.
References
1. Lee, CY, Wang, WT, Liu, CC, Fu, LM. Passive mixers in microfluidic systems: a review. Chem Eng J 2016;288:146–60. https://doi.org/10.1016/j.cej.2015.10.122.Search in Google Scholar
2. Lim, YC, Kouzani, AZ, Duan, W. Lab-on-a-chip: a component view. Microsyst Technol 2010;16:1995–2015. https://doi.org/10.1007/s00542-010-1141-6.Search in Google Scholar
3. Capretto, L, Cheng, W, Hill, M, Zhang, X. Micromixing within microfluidic devices. In: Microfluidics. Berlin, Heidelberg: Springer; 2011:27–68 pp.10.1007/128_2011_150Search in Google Scholar PubMed
4. Bahrami, M, Yovanovich, MM, Culham, JR. Pressure drop of fully-developed, laminar flow in microchannels of arbitrary cross-section. J Fluid Eng 2006;128:1036–44. https://doi.org/10.1115/1.2234786.Search in Google Scholar
5. Song, H, Wang, Y, Pant, K. Cross-stream diffusion under pressure-driven flow in microchannels with arbitrary aspect ratios: a phase diagram study using a three-dimensional analytical model. Microfluid Nanofluidics 2012;12:265–77. https://doi.org/10.1007/s10404-011-0870-x.Search in Google Scholar PubMed PubMed Central
6. Wangikar, SS, Patowari, PK, Misra, RD, Gidde, R, Jadhav, S, Sonawane, S. Mixing performance analysis of serpentine microchannels with straight and curved bends. In: Next generation materials and processing technologies. Singapore: Springer; 2021:109–18 pp.10.1007/978-981-16-0182-8_9Search in Google Scholar
7. Wang, X, Liu, Z, Cai, Y, Wang, B, Luo, X. A cost-effective serpentine micromixer utilizing ellipse curve. Anal Chim Acta 2021;1155:338355. https://doi.org/10.1016/j.aca.2021.338355.Search in Google Scholar PubMed
8. Tripathi, E, Patowari, PK, Pati, S. Comparative assessment of mixing characteristics and pressure drop in spiral and serpentine micromixers. Chem Eng Process-Process Intensif 2021;162:108335. https://doi.org/10.1016/j.cep.2021.108335.Search in Google Scholar
9. Qamareen, A, Ansari, MA, Alam, SS, Alazzam, A. Modulation of secondary flows in curved serpentine micromixers. Chem Eng Commun 2021:1–20. https://doi.org/10.1080/00986445.2021.1887153.Search in Google Scholar
10. Xia, G, Li, J, Tian, X, Zhou, M. Analysis of flow and mixing characteristics of planar asymmetric split-and-recombine (P-SAR) micromixers with fan-shaped cavities. Ind Eng Chem Res 2012;51:7816–27. https://doi.org/10.1021/ie2026234.Search in Google Scholar
11. Li, J, Xia, G, Li, Y. Numerical and experimental analyses of planar asymmetric split‐and‐recombine micromixer with dislocation sub‐channels. J Chem Technol Biotechnol 2013;88:1757–65. https://doi.org/10.1002/jctb.4044.Search in Google Scholar
12. Tran-Minh, N, Dong, T, Karlsen, F. An efficient passive planar micromixer with ellipse-like micropillars for continuous mixing of human blood. Comput Methods Progr Biomed 2014;117:20–9. https://doi.org/10.1016/j.cmpb.2014.05.007.Search in Google Scholar PubMed
13. Ta, BQ, Le Thanh, H, Dong, T, Thoi, TN, Karlsen, F. Geometric effects on mixing performance in a novel passive micromixer with trapezoidal-zigzag channels. J Micromech Microeng 2015;25:094004. https://doi.org/10.1088/0960-1317/25/9/094004.Search in Google Scholar
14. Cortes-Quiroz, CA, Zangeneh, M, Goto, A. On multi-objective optimization of geometry of staggered herringbone micromixer. Microfluid Nanofluidics 2009;7:29–43. https://doi.org/10.1007/s10404-008-0355-8.Search in Google Scholar
15. 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
16. Shinde, AB, Patil, AV, Patil, VB. Enhance the mixing performance of water and ethanol at micro level using geometrical modifications. Mater Today Proc 2021;46:460–70. https://doi.org/10.1016/j.matpr.2020.10.265.Search in Google Scholar
17. Hossain, S, Fuwad, A, Kim, KY, Jeon, TJ, Kim, SM. Investigation of mixing performance of two-dimensional micromixer using tesla structures with different shapes of obstacles. Ind Eng Chem Res 2020;59:3636–43. https://doi.org/10.1021/acs.iecr.9b06741.Search in Google Scholar
18. Gidde, RR. On the computational analysis of short mixing length planar split and recombine micromixers for microfluidic applications. Int J Environ Anal Chem 2021;101:79–94. https://doi.org/10.1080/03067319.2019.1660875.Search in Google Scholar
19. 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
20. Fuwad, A, Hossain, S, Ryu, H, Ansari, MA, Khan, MSI, Kim, KY, et al.. Numerical and experimental study on mixing in chaotic micromixers with crossing structures. Chem Eng Technol 2020;43:1866–75. https://doi.org/10.1002/ceat.201900523.Search in Google Scholar
21. Nimafar, M, Viktorov, V, Martinelli, M. Experimental comparative mixing performance of passive micromixers with H-shaped sub-channels. Chem Eng Sci 2012;76:37–44. https://doi.org/10.1016/j.ces.2012.03.036.Search in Google Scholar
22. Huang, SW, Wu, CY, Lai, BH, Chien, YC. Fluid mixing in a swirl-inducing microchannel with square and T-shaped cross-sections. Microsyst Technol 2017;23:1971–81. https://doi.org/10.1007/s00542-016-2952-x.Search in Google Scholar
23. Chen, X, Zhang, Y, Wang, J. Simulation analysis of mixing in passive microchannel with fractal obstacles based on Murray’s law. Comput Methods Biomech Biomed Eng 2021;24:1670–8. https://doi.org/10.1080/10255842.2021.1906867.Search in Google Scholar PubMed
24. Shi, X, Huang, S, Wang, L, Li, F. Numerical analysis of passive micromixer with novel obstacle design. J Dispersion Sci Technol 2021;42:440–56. https://doi.org/10.1080/01932691.2019.1699428.Search in Google Scholar
25. Huang, LR, Fan, LL, Liu, Q, Zhao, Z, Zhe, J, Zhao, L. Enhancement of passive mixing via arc microchannel with sharp corner structure. J Micromech Microeng 2021;31:055009. https://doi.org/10.1088/1361-6439/abf334.Search in Google Scholar
26. Shi, X, Wang, L, Huang, S, Li, F. A novel passive micromixer with array of Koch fractal obstacles in microchannel. J Dispersion Sci Technol 2021;42:236–47. https://doi.org/10.1080/01932691.2019.1674156.Search in Google Scholar
27. Wu, CY, Lai, BH. Numerical study of T-shaped micromixers with vortex-inducing obstacles in the inlet channels. Micromachines 2020;11:1122. https://doi.org/10.3390/mi11121122.Search in Google Scholar PubMed PubMed Central
28. Wangikar, SS, Patowari, PK, Misra, RD, Gidde, RR, Bhosale, SB, Parkhe, AK. Optimization of photochemical machining process for fabrication of microchannels with obstacles. Mater Manuf Process 2021;36:544–57. https://doi.org/10.1080/10426914.2020.1843674.Search in Google Scholar
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Articles in the same Issue
- Frontmatter
- Research Articles
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- Solar driven desalination system for power and desalination water production by concentrated PVT and MED system
- Energy and exergy analysis of primary steam superheating effects on the steam ejector applied in the solar renewable refrigeration cycle in the presence of spontaneous nucleation
- Numerical investigation of the effects of dry gas model and wet steam model in solar-driven refrigeration ejector system
- Numerical investigation of different biomass feedstock on syngas production using steam gasification and thermodynamic analysis
- Numerical and experimental study of the baffle-based split and recombine chamber (B-SARC) micromixers
- Direct synthesis based sliding mode controller design for unstable second order with dead-time processes with its application on continuous stirred tank reactor
- Classification and authentication of operating conditions in different processes using Partial Least Squares
- Enhancing heat exchanger efficiency with novel perforated cone-shaped turbulators and nanofluids: a computational study
Articles in the same Issue
- Frontmatter
- Research Articles
- Removal efficiency of organic chloride from naphtha fraction using micro and nano-γ-Al2O3 sintered adsorbents
- Energy, exergy, and economic analyses and optimization of a deethanizer tower of a petrochemical plant
- Solar driven desalination system for power and desalination water production by concentrated PVT and MED system
- Energy and exergy analysis of primary steam superheating effects on the steam ejector applied in the solar renewable refrigeration cycle in the presence of spontaneous nucleation
- Numerical investigation of the effects of dry gas model and wet steam model in solar-driven refrigeration ejector system
- Numerical investigation of different biomass feedstock on syngas production using steam gasification and thermodynamic analysis
- Numerical and experimental study of the baffle-based split and recombine chamber (B-SARC) micromixers
- Direct synthesis based sliding mode controller design for unstable second order with dead-time processes with its application on continuous stirred tank reactor
- Classification and authentication of operating conditions in different processes using Partial Least Squares
- Enhancing heat exchanger efficiency with novel perforated cone-shaped turbulators and nanofluids: a computational study
