Numerical and experimental study of passive fluids mixing in micro-channels of different configurations.

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Title: Numerical and experimental study of passive fluids mixing in micro-channels of different configurations.
Authors: Das, Sankha1 sankha.nita.2010@gmail.com, Tilekar, Shivkant1, Wangikar, Sandeep2, Patowari, Promod1
Source: Microsystem Technologies. Dec2017, Vol. 23 Issue 12, p5977-5988. 12p.
Subjects: Lithography techniques, Serpentine, Microchannel flow, Optical fiber fabrication, Numerical analysis
Abstract: This paper represents a numerical and experimental investigation of fluids mixing in straight and serpentine micro-channels. These microchannels are fabricated with the help of soft lithography technique. The width of straight and serpentine micro-channels after fabrication is obtained around 335 and 282 µm respectively. Numerical simulations of fluids mixing in micro-channels are performed by solving momentum, continuity and mass diffusion equations. Mixing performance has been evaluated in three average inlet velocities such as 0.001, 0.007 and 0.0167 m/s. The numerical results show that in serpentine micro-channel, an effective mixing has been achieved in almost all the flow conditions whereas in straight channel that is achieved for 0.001 m/s velocity only. Water and water-KMnO solution are used as working fluids in this study. The experimental results show that the mixing efficiency of around 95.5, 70.20, and 48.54% has been achieved for straight channel at inlet velocities 0.001, 0.007 and 0.0167 m/s respectively. However, in serpentine micro-channel, the mixing efficiency has been achieved around 97.12, 95.10, and 65.21% at inlet velocities 0.007, 0.0167 and 0.03 m/s respectively. Moreover, the experimental results are compared with the numerical results where it has been observed that the results are quite identical to each other. [ABSTRACT FROM AUTHOR]
Copyright of Microsystem Technologies is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Numerical and experimental study of passive fluids mixing in micro-channels of different configurations.
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  Data: <searchLink fieldCode="AR" term="%22Das%2C+Sankha%22">Das, Sankha</searchLink><relatesTo>1</relatesTo><i> sankha.nita.2010@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Tilekar%2C+Shivkant%22">Tilekar, Shivkant</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wangikar%2C+Sandeep%22">Wangikar, Sandeep</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Patowari%2C+Promod%22">Patowari, Promod</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Microsystem+Technologies%22">Microsystem Technologies</searchLink>. Dec2017, Vol. 23 Issue 12, p5977-5988. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Lithography+techniques%22">Lithography techniques</searchLink><br /><searchLink fieldCode="DE" term="%22Serpentine%22">Serpentine</searchLink><br /><searchLink fieldCode="DE" term="%22Microchannel+flow%22">Microchannel flow</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+fiber+fabrication%22">Optical fiber fabrication</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+analysis%22">Numerical analysis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper represents a numerical and experimental investigation of fluids mixing in straight and serpentine micro-channels. These microchannels are fabricated with the help of soft lithography technique. The width of straight and serpentine micro-channels after fabrication is obtained around 335 and 282 µm respectively. Numerical simulations of fluids mixing in micro-channels are performed by solving momentum, continuity and mass diffusion equations. Mixing performance has been evaluated in three average inlet velocities such as 0.001, 0.007 and 0.0167 m/s. The numerical results show that in serpentine micro-channel, an effective mixing has been achieved in almost all the flow conditions whereas in straight channel that is achieved for 0.001 m/s velocity only. Water and water-KMnO solution are used as working fluids in this study. The experimental results show that the mixing efficiency of around 95.5, 70.20, and 48.54% has been achieved for straight channel at inlet velocities 0.001, 0.007 and 0.0167 m/s respectively. However, in serpentine micro-channel, the mixing efficiency has been achieved around 97.12, 95.10, and 65.21% at inlet velocities 0.007, 0.0167 and 0.03 m/s respectively. Moreover, the experimental results are compared with the numerical results where it has been observed that the results are quite identical to each other. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Microsystem Technologies is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s00542-017-3482-x
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        Text: English
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      – SubjectFull: Lithography techniques
        Type: general
      – SubjectFull: Serpentine
        Type: general
      – SubjectFull: Microchannel flow
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      – SubjectFull: Optical fiber fabrication
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      – SubjectFull: Numerical analysis
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            NameFull: Das, Sankha
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            NameFull: Tilekar, Shivkant
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            NameFull: Wangikar, Sandeep
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              M: 12
              Text: Dec2017
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              Y: 2017
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