Numerical Analysis of Mixing Performance in Microchannel with Different Ratio of Outlet to Inlet Width

  • Bappa Mondal
  • Sukumar Pati
  • Promod Kumar Patowari
Conference paper


Rapid mixing is one of the prerequisites for many chemical and biological applications. Fixing the proper ratio of dimensions of the geometry is important to design an object for its performance. In this study, numerical investigations have been carried out to analyze the mixing efficiency and pressure drop characteristics for the flow through micro channel having different outlet width to inlet width ratio (σ) for different Reynolds number (Re) in the range 0.2 ≤ Re ≤ 1 and Schmidt number (Sc) in the range 400 ≤ Sc ≤ 2000 with an objective to find the optimum geometry for mixing performance. Further, the effects of obstruction along the channel wall are also assessed for all the considered outlet width to inlet width ratio. With decreasing the considered σ, mixing efficiency enhances and pressure drop also increases.


Micro channel Obstacle Mixing efficiency Pressure drop Reynolds number Schmidt number 


  1. 1.
    Connolly P (1995) Clinical diagnostics opportunities for biosensors and bioelectronics. Biosens Bioelectron 10:1–6CrossRefGoogle Scholar
  2. 2.
    Cosentino A, Madadi H, Vergara P, Vecchione R, Causa F, Netti PA (2015) An efficient planar accordion-shaped micromixer: from biochemical mixing to biological application. Sci Rep 5:1–10CrossRefGoogle Scholar
  3. 3.
    Rashidi S, Bafekr H, Valipour MS, Esfahani JA (2018) A review on the application, simulation, and experiment of the electrokinetic mixers. Chem Engg Proc Intensif 126:108–122CrossRefGoogle Scholar
  4. 4.
    Dey R, Kar S, Joshi S, Maiti TK, Chakraborty S (2015) Ultra-low-cost ‘paper-and-pencil’ device for electrically controlled micromixing of analytes. Microfluid Nanofluid 19(2):375–383CrossRefGoogle Scholar
  5. 5.
    Ward K, Fan ZH (2015) Mixing in microfluidic devices and enhancement methods. J Micromech Microeng 25:1–17CrossRefGoogle Scholar
  6. 6.
    Das SS, Tilekar SD, Wangikar SS, Patowari PK (2017) Numerical and experimental study of passive fluids mixing in micro-channels of different configurations. Microsyst Technol 23:5977–5988CrossRefGoogle Scholar
  7. 7.
    Baik SJ, Cho JY, Choi SB, Lee JS (2016) Numerical investigation of the effects of geometric parameters on transverse motion with slanted-groove micro-mixers. J Mech Sci Technol 30(8):3729–3739CrossRefGoogle Scholar
  8. 8.
    Raza W, Hossain S, Kim KY (2018) Effective mixing in a short serpentine split-and-recombination micromixer. Sensors Actuators B Chem 258:381–392CrossRefGoogle Scholar
  9. 9.
    Chen X, Li T, Zeng H, Hu Z, Fu B (2016) Numerical and experimental investigation on micromixers with serpentine microchannels. Int J Heat Mass Transf 98:131–140CrossRefGoogle Scholar
  10. 10.
    Hossain S, Kim KY (2015) Mixing analysis in a three-dimensional serpentine split-and-recombine micromixer. Chem Eng Res Des 100:95–103CrossRefGoogle Scholar
  11. 11.
    Solehati N, Bae J, Sasmito AP (2014) Numerical investigation of mixing performance in microchannel T-junction with wavy structure. Comput Fluids 96:10–19CrossRefGoogle Scholar
  12. 12.
    Parsa MK, Hormozi F, Jafari D (2014) Mixing enhancement in a passive micromixer with convergent–divergent sinusoidal micro channels and different ratio of amplitude to wave length. Comput Fluids 105:82–90CrossRefGoogle Scholar
  13. 13.
    Mondal B, Mehta SK, Patowari PK, Pati S (2019) Numerical study of mixing in wavy micromixers: comparison between raccoon and serpentine mixer, Chemical Engineering & Processing: Process Intensification 136: 44–61Google Scholar
  14. 14.
    Miranda JM, Oliveira H, Teixeira JA, Vicente AA, Correia JH, Minas G (2010) Numerical study of micro mixing combining alternate flow and obstacles. Int Commun Heat Mass Transfer 37:581–586CrossRefGoogle Scholar
  15. 15.
    Wangikar SS, Patowari PK, Misra RD (2018) Numerical and experimental investigations on the performance of a serpentine microchannel with semicircular obstacles. Microsyst Technol 24:3307–3320CrossRefGoogle Scholar
  16. 16.
    Das SS, Tilekar SD, Wangikar SS, Patowari PK (2017) Numerical and experimental study of passive fluids mixing in micro-channels of different configurations. Microsyst Technol 23(12):5977–5988CrossRefGoogle Scholar
  17. 17.
    Bappa Mondal, Sukumar Pati, PK Patowari, (2019) Analysis of mixing performances in microchannel with obstacles of different aspect ratios. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering:095440891982674Google Scholar
  18. 18.
    Pati S (2012) A textbook on fluid mechanics and hydraulic machines. McGraw-Hill Education (India) Pvt. Ltd., New DelhiGoogle Scholar
  19. 19.
    Wangikar SS, Patowari PK, Misra RD (2017) Effect of process parameters and optimization for photochemical machining of brass and German silver. Mater Manuf Process 32(15):1747–1755CrossRefGoogle Scholar
  20. 20.
    Wangikar SS, Patowari PK, Misra RD (2018) Parametric optimization for photochemical machining of copper using overall evaluation criteria. Mater Today Proc 5(2):4736–4742CrossRefGoogle Scholar
  21. 21.
    Wangikar SS, Patowari PK, Misra RD (2016, December) Parametric optimization for photochemical machining of copper using grey relational method. In: Techno-societal 2016, international conference on advanced technologies for societal applications. Springer, Cham, pp 933–943Google Scholar
  22. 22.
    Wangikar SS, Patowari PK, Misra RD, Misal ND (2019) Photochemical machining: a less explored non-conventional machining process. In: Non-conventional machining in modern manufacturing systems. IGI Global, Hershey, pp 188–201CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Bappa Mondal
    • 1
  • Sukumar Pati
    • 1
  • Promod Kumar Patowari
    • 1
  1. 1.Department of Mechanical EngineeringNational Institute of Technology SilcharSilcharIndia

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