Hydrodynamics of shear thinning fluid in a square microchannel: a numerical approach
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Sandeep Yadav
Abstract
In this present work, a numerical study was conducted for the formation of a slug bubble for shear thinning non-Newtonian fluid in a cross-junction 2-D square horizontal microchannel. Carboxymethyl cellulose (CMC) of concentration 0.2 (w/w%) percent was used as a continuous phase that shows the shear thinning behavior of non-Newtonian fluid and Nitrogen (N2) was used as the discrete phase. The pressure-based double precision solver was used in ANSYS FLUENT 2021 R2 with the volume of fluid (VOF) method. The finite volume method is applied for the discretization of the continuity and momentum equation. This article also focuses on the fluctuation of static pressure, mechanism of slug, annular, and churn annular flow i.e., obtained by the variation in the inlet velocities. On the other hand, a concept that was applied in this work was also validated with the prior literature data.
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Research ethics: I agree with the statements and declaration that this submission follows the policies of “De Gruyter” academic publishing as outlined in the Guide for Authors and in the Ethical Statement.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Conflict of interest statement: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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Research funding: This work was supported by the MNNIT Allahabad.
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Data availability: Data can be provided on the request.
References
1. Zhao, Y, Cheng, Y, Shang, L, Wang, J, Xie, Z, Gu, Z. Microfluidic synthesis of barcode particles for multiplex assays. Small 2015;11:151–74. https://doi.org/10.1002/smll.201401600.Search in Google Scholar PubMed
2. Oelgemöller, M, Shvydkiv, O. Recent advances in microfow photochemistry. Molecules 2011;16:7522–50. https://doi.org/10.3390/molecules16097522.Search in Google Scholar PubMed PubMed Central
3. Yue, J. Multiphase flow processing in microreactors combined with heterogeneous catalysis for efficient and sustainable chemical synthesis. Catal Today 2018;308:3–19. https://doi.org/10.1016/j. cattod.2017.09.041.10.1016/j.cattod.2017.09.041Search in Google Scholar
4. Zheng, N, Zhou, M, Du, C, Wang, S, Lu, W. 5-fuorouracil delivery from a novel three-dimensional micro-device: in vitro and in vivo evaluation. Arch Pharm Res 2013;36:1487–93. https://doi.org/10.1007/s12272-013-0168-5.10.1007/s12272-013-0168-5Search in Google Scholar PubMed
5. Lee, SH, Min, P, Park, CG, Kim, BH, Lee, J, Choi, SY, et al.. Implantable micro-chip for controlled delivery of diclofenac sodium. J Contr Release 2014;196:52–9. https://doi.org/10.1016/j.jconr el.2014.09.019.10.1016/j.jconrel.2014.09.019Search in Google Scholar PubMed
6. Cao, J, Krause, K, Kothe, E, Martin, K, Roth, M, Köhler, JM, et al.. Application of micro-segmented flow for two-dimensional characterization of the combinatorial effect of zinc and copper ions on metal-tolerant streptomyces strains. Appl Microbiol Biotechnol 2013;97:8923–30. https://doi.org/10.1007/s00253-013-5147-8.Search in Google Scholar PubMed
7. Murphy, TW, Zhang, Q, Naler, LB, Ma, S, Lu, C. Recent advances in the use of microfluidic technologies for single cell analysis. Analyst 2017;143:6–8. https://doi.org/10.1039/c7an01346a.Search in Google Scholar PubMed PubMed Central
8. Singh, KK, Renjith, AU, Shenoy, KT. Liquid–liquid extraction in microchannels and conventional stage-wise extractors: a comparative study. Chem Eng Process 2015;98:95–105. https://doi.org/10.1016/j.cep.2015.10.013.Search in Google Scholar
9. Yun, SH, Sang, JJ, Lee, EZ, Park, HS, Hong, WH. Microfuidic extraction using two phase laminar flow for chemical and biological applications. Kor J Chem Eng 2011;28:633–42. https://doi.org/10.1007/s11814-010-0533-8.Search in Google Scholar
10. Wang, K, Luo, G. Microfow extraction: a review of recent development. Chem Eng Sci 2017;169:18–33. https://doi.org/10.1016/j. ces.2016.10.025.10.1016/j.ces.2016.10.025Search in Google Scholar
11. Nghe, P, Terriac, E, Schneider, M, Li, ZZ, Cloitre, M, Abecassis, B, et al.. Microfluidics and complex fluids. Lab Chip 2011;11:788–94. https://doi.org/10.1039/C0LC00192A.Search in Google Scholar
12. Galindo-Rosales, FJ, Alves, MA, Oliveira, MSN. Microdevices for extensional rheometry of low viscosity elastic liquids: a review. Microfluid Nanofluidics 2013;14:1–19. https://doi.org/10.1007/s10404-012-1028-1.Search in Google Scholar
13. Groisman, A, Enzelberger, M, Quake, SR. Microfluidic memory and control devices. Science 2003;300:955–8. https://doi.org/10.1126/science.1083694.Search in Google Scholar PubMed
14. Denn, MM. Fifty years of non-Newtonian fluid dynamics. AIChE J 2004;50:2335–45. https://doi.org/10.1002/aic.10357.Search in Google Scholar
15. Frank, X, Charpentier, J-C, Ma, Y, Midoux, N, Li, HZ. A multiscale approach for modeling bubbles rising in non-Newtonian fluids. Ind Eng Chem Res 2011;51:2084–93. https://doi.org/10.1021/ie2006577.Search in Google Scholar
16. Peng, XF, Peterson, GP, Wang, BX. Frictional flow characteristics of water flowing through rectangular microchannels. Exp Heat Tran 1994;7:249. https://doi.org/10.1080/08916159408946484.Search in Google Scholar
17. Mala, GM, Li, DQ, Werner, C, Jacobasch, HJ, Nimg, YB. Flow characteristics of water through a microchannel between two parallel plates with electrokinetic effects. Int J Heat Fluid Flow 1997;18:489. https://doi.org/10.1016/S0142-727X(97)80007-0.Search in Google Scholar
18. Papautsky, I, Gale, BK, Mohanty, S, Ameel, TA, Frazier, AB. Effects of rectangular microchannel aspect ratio on laminar friction constant. Proc Soc Photo Opt Instrum Eng 1999;3877:147. https://doi.org/10.1117/12.359332.Search in Google Scholar
19. Xu, B, Ooti, K, Wong, N, Choi, WK. Experimental investigation of flow friction for liquid flow in microchannels. Int Commun Heat Mass Tran 2000;27:1165. https://doi.org/10.1016/S0735-1933(00)00203-7.Search in Google Scholar
20. Wilding, P, Shoffner, MA, Kircka, LJ, Zemel, JN, Kricka, LJ. Manipulation and flow of biological fluids in straight channels micromachined in silicon. Clin Chem 1994;40:43. https://doi.org/10.1093/clinchem/40.1.43.Search in Google Scholar
21. Koo, J, Kleinstreuer, C. Liquid flow in microchannels: experimental observations and computational analyses of microfluidics effects. J Micromech Microeng 2003;13:568. https://doi.org/10.1088/0960-1317/13/5/307.Search in Google Scholar
22. Husny, J, Cooper-White, JJ. The effect of elasticity on drop creation in T-shaped microchannels. J Nonnewton Fluid Mech 2006;137:121–36. https://doi.org/10.1016/j.jnnfm.2006.03.007.Search in Google Scholar
23. Aytouna, M, Paredes, J, Shahidzadeh-Bonn, N, Moulinet, S, Wagner, C, Amarouchene, Y, et al.. Drop formation in non-Newtonian fluids. Phys Rev Lett 2013;110:034501. https://doi.org/10.1103/PhysRevLett.110.034501.Search in Google Scholar PubMed
24. Rostami, B, Morini, GL. Experimental characterization of a micro cross-junction as generator of Newtonian and non-Newtonian droplets in silicone oil flow at low Capillary numbers. Exp Therm Fluid Sci 2019;103:191–200. https://doi.org/10.1016/j.expthermflusci.2019.01.008.Search in Google Scholar
25. Gu, Z, Liow, JL. Micro-droplet formation with non-Newtonian solutions in microfluidic T-junctions with different inlet angles. In: 2012 7th IEEE international conference on nano/micro engineering molecular system. NEMS; 2012:423–8 pp.10.1109/NEMS.2012.6196809Search in Google Scholar
26. Nooranidoost, M, Izbassarov, D, Muradoglu, M. Droplet formation in flow focusing configuration: effects of viscoelasticity. Phys Fluids 2016;28. https://doi.org/10.1063/1.4971841.Search in Google Scholar
27. Ratkovich, N, Majumder, SK, Bentzen, TR. Empirical correlations and CFD simulations of vertical two-phase gas–liquid (Newtonian and non-Newtonian) slug flow compared against experimental data of void fraction. Chem Eng Res Des 2013;91:988–98. https://doi.org/10.1016/j.cherd.2012.11.002.Search in Google Scholar
28. Zhao, Y, Chen, G, Yuan, Q. Liquid–liquid two-phase mass transfer in the T-junction microchannels. AIChE J 2007;53:3042–53. https://doi.org/10.1002/aic.11333.Search in Google Scholar
29. Kashid, MN. Experimental and modelling studies on liquid–liquid slug flow capillary microreactors [Ph.D. thesis]. University of Dortmund; 2007.Search in Google Scholar
30. Kashid, MN, Renken, A, Kiwi-Minsker, L. CFD modelling of liquid–liquid multiphase microstructured reactor: slug fow generation. Chem Eng Res Des 2010;88:362–8. https://doi.org/10.1016/j.cherd.2009.11.017.Search in Google Scholar
31. Chandra, AK, Kishor, K, Mishra, PK, Alam, MS. Numerical investigations of two-phase flows through enhanced microchannels. Chem Biochem Eng Q 2016;30:149–59. https://doi.org/10.15255/CABEQ.2015.2289.Search in Google Scholar
32. Kishor, K, Chandra, AK, Khan, W, Mishra, PK, Siraj Alam, M. Numerical study on bubble dynamics and two-phase frictional pressure drop of slug flow regime in adiabatic T-junction square microchannel. Chem Biochem Eng Q 2017;31:275–91. https://doi.org/10.15255/CABEQ.2016.877.Search in Google Scholar
33. Feng, K, Zhang, H. Pressure drop and flow pattern of gas-non-Newtonian fluid two-phase flow in a square microchannel. Chem Eng Res Des 2021;173:158–69. https://doi.org/10.1016/j.cherd.2021.07.010.Search in Google Scholar
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Articles in the same Issue
- Frontmatter
- Research Articles
- Tuning of PID controllers for unstable first-order plus dead time systems
- Oxygen excess ratio control of PEM fuel cell: fractional order modeling and fractional filter IMC-PID control
- Proposal and energy/exergy/economic analyses of a smart heat recovery for distillation tower of the Naphtha Hydrotreating Unit of the Petrochemical Plant; designing a low-carbon plant
- Three-dimensional CFD study on thermo-hydraulic behaviour of finned tubes in a heat exchange system for heat transfer enhancement
- A simulation and thermodynamic improvement of the methanol production process with economic analysis: natural gas vapor reforming and utilization of carbon capture
- Optimization of hydrogel composition for effective release of drug
- Mathematical modelling of water-based biogas scrubber operating at digester pressure
- COCO, a process simulator: methane oxidation simulation & its agreement with commercial simulator’s predictions
- Hydrodynamics of shear thinning fluid in a square microchannel: a numerical approach
- Parameter estimation in non-linear chemical processes: an opposite point-based differential evolution (OPDE) approach
Articles in the same Issue
- Frontmatter
- Research Articles
- Tuning of PID controllers for unstable first-order plus dead time systems
- Oxygen excess ratio control of PEM fuel cell: fractional order modeling and fractional filter IMC-PID control
- Proposal and energy/exergy/economic analyses of a smart heat recovery for distillation tower of the Naphtha Hydrotreating Unit of the Petrochemical Plant; designing a low-carbon plant
- Three-dimensional CFD study on thermo-hydraulic behaviour of finned tubes in a heat exchange system for heat transfer enhancement
- A simulation and thermodynamic improvement of the methanol production process with economic analysis: natural gas vapor reforming and utilization of carbon capture
- Optimization of hydrogel composition for effective release of drug
- Mathematical modelling of water-based biogas scrubber operating at digester pressure
- COCO, a process simulator: methane oxidation simulation & its agreement with commercial simulator’s predictions
- Hydrodynamics of shear thinning fluid in a square microchannel: a numerical approach
- Parameter estimation in non-linear chemical processes: an opposite point-based differential evolution (OPDE) approach
