Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이성환 | - |
dc.date.accessioned | 2018-11-06T01:59:25Z | - |
dc.date.available | 2018-11-06T01:59:25Z | - |
dc.date.issued | 2008-03 | - |
dc.identifier.citation | JOURNAL OF THE KOREAN PHYSICAL SOCIETY, v. 52, No. 3, Page. 580-587 | en_US |
dc.identifier.issn | 0374-4884 | - |
dc.identifier.uri | http://www.jkps.or.kr/journal/view.html?volume=52&number=3&spage=580&year=2008 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/80248 | - |
dc.description.abstract | Molecular diffusion transport in a straight micro-channel has very little influence on mixing due to the extremely small length and velocity scales. As an alternative to a complex geometry, we propose a static-type micro-mixer with a concise configuration. This simpler geometry, but with careful design, achieves a less pressure drop but still allows a reasonably good mixing effect, which might be suitable for practical mass-production-type devices. In our research, the influence of the obstacles in a Y-channel type mixer on mixing was numerically and experimentally investigated by using precise nonlinear analysis. The layout and the size of the obstacles in a Y-channel micromixer were optimized to obtain the maximum possible mixing ratio by using sequential quadratic programming (SQP), a nonlinear approximate optimization technique. In the experimental setup, a Polydimethylsiloxane (PDMS) micro Y-channel was fabricated in which two DI water and ethanol working fluids passed by. A laser induced fluorescence (LIF) confocal microscope was adopted in order to determine the mixing ratio by using the fluorescence intensity of the flow using He/Ne laser scanner. This procedure could be easily extended as a guideline to the optimization of other types of static micro-mixers. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | KOREAN PHYSICAL SOC | en_US |
dc.subject | numerical simulation | en_US |
dc.subject | channel flow | en_US |
dc.subject | micro-mixing | en_US |
dc.subject | confocal microscopy | en_US |
dc.subject | neural network | en_US |
dc.title | Static Micro-Mixing Analysis by Using Sequential Quadratic Programming and a Confocal Microscope | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.3938/jkps.52.580 | - |
dc.relation.journal | JOURNAL OF THE KOREAN PHYSICAL SOCIETY | - |
dc.contributor.googleauthor | Lee, Dohyung | - |
dc.contributor.googleauthor | Lee, Seoung Hwan | - |
dc.relation.code | 2008205987 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DEPARTMENT OF MECHANICAL ENGINEERING | - |
dc.identifier.pid | sunglee | - |
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