Simulation and Micro-PIV research on classical microchannel flow

Haibo Xie; Xin Fu; Huayong Yang; Hong Chen

doi:10.3901/JME.2006.05.032

Simulation and Micro-PIV research on classical microchannel flow

Haibo Xie, Xin Fu, Huayong Yang, Hong Chen

Penn State New Kensington

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

Both the theoretical and experimental analyses on several typical micro channels of the micro fluidic systems are presented. The flow patterns of the rigging angle bend channel, the sudden expansive channel and the elbow channel on the pressure driven mode are numerically analyzed by using computational fluid dynamics (CFD) simulation technology. The simulation method for the electroosmosis is described and the electroosmosis flow inside the cross channel is simulated. Four kinds of micro channel models are micromachined with glass material and experimentally detected by using micro particle image velocimetry (Micro-PIV). A good agreement is obtained by comparing the simulation results with the experimental results. From the results, Micro-PIV is indicated to be the most efficient experimental method for micro flow detection. Furthermore, Navier-Stokes equation is experimentally proved to be correct in the micron flow numerical simulation.

Original language	English (US)
Pages (from-to)	32-38
Number of pages	7
Journal	Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering
Volume	42
Issue number	5
DOIs	https://doi.org/10.3901/JME.2006.05.032
State	Published - May 1 2006

All Science Journal Classification (ASJC) codes

Mechanical Engineering
Computer Science Applications
Applied Mathematics

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10.3901/JME.2006.05.032

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abstract = "Both the theoretical and experimental analyses on several typical micro channels of the micro fluidic systems are presented. The flow patterns of the rigging angle bend channel, the sudden expansive channel and the elbow channel on the pressure driven mode are numerically analyzed by using computational fluid dynamics (CFD) simulation technology. The simulation method for the electroosmosis is described and the electroosmosis flow inside the cross channel is simulated. Four kinds of micro channel models are micromachined with glass material and experimentally detected by using micro particle image velocimetry (Micro-PIV). A good agreement is obtained by comparing the simulation results with the experimental results. From the results, Micro-PIV is indicated to be the most efficient experimental method for micro flow detection. Furthermore, Navier-Stokes equation is experimentally proved to be correct in the micron flow numerical simulation.",

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T1 - Simulation and Micro-PIV research on classical microchannel flow

AU - Xie, Haibo

AU - Fu, Xin

AU - Yang, Huayong

AU - Chen, Hong

PY - 2006/5/1

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N2 - Both the theoretical and experimental analyses on several typical micro channels of the micro fluidic systems are presented. The flow patterns of the rigging angle bend channel, the sudden expansive channel and the elbow channel on the pressure driven mode are numerically analyzed by using computational fluid dynamics (CFD) simulation technology. The simulation method for the electroosmosis is described and the electroosmosis flow inside the cross channel is simulated. Four kinds of micro channel models are micromachined with glass material and experimentally detected by using micro particle image velocimetry (Micro-PIV). A good agreement is obtained by comparing the simulation results with the experimental results. From the results, Micro-PIV is indicated to be the most efficient experimental method for micro flow detection. Furthermore, Navier-Stokes equation is experimentally proved to be correct in the micron flow numerical simulation.

AB - Both the theoretical and experimental analyses on several typical micro channels of the micro fluidic systems are presented. The flow patterns of the rigging angle bend channel, the sudden expansive channel and the elbow channel on the pressure driven mode are numerically analyzed by using computational fluid dynamics (CFD) simulation technology. The simulation method for the electroosmosis is described and the electroosmosis flow inside the cross channel is simulated. Four kinds of micro channel models are micromachined with glass material and experimentally detected by using micro particle image velocimetry (Micro-PIV). A good agreement is obtained by comparing the simulation results with the experimental results. From the results, Micro-PIV is indicated to be the most efficient experimental method for micro flow detection. Furthermore, Navier-Stokes equation is experimentally proved to be correct in the micron flow numerical simulation.

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Simulation and Micro-PIV research on classical microchannel flow

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