Effect of surface conduction–induced electromigration on current monitoring method for electroosmotic flow measurement

2020 ◽  
Vol 41 (7-8) ◽  
pp. 570-577
Author(s):  
Mohammad Babar ◽  
Kaushlendra Dubey ◽  
Supreet Singh Bahga
Keyword(s):  
Electroosmotic Flow ◽  
Flow Measurement ◽  
Monitoring Method ◽  
Current Monitoring ◽  
Surface Conduction ◽  
Effect Of Surface

Improved Current-Monitoring Method for Low Electroosmotic Flow Measurement in Modified Microchip

2009 ◽  
Vol 69 (9-10) ◽  
pp. 897-901 ◽  
Author(s):  
Wei Wang ◽  
Wenya Wu ◽  
Fang Zhou ◽  
Jian-Rong Zhang ◽  
Qiang Miao ◽  
...  
Keyword(s):  
Electroosmotic Flow ◽  
Flow Measurement ◽  
Monitoring Method ◽  
Current Monitoring

scholarly journals Electroosmotic Flow Hysteresis for Fluids with Dissimilar pH and Ionic Species

Micromachines ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1031
Author(s):  
An Eng Lim ◽  
Yee Cheong Lam
Keyword(s):  
Zeta Potential ◽  
Electroosmotic Flow ◽  
Flow Direction ◽  
Velocity Model ◽  
Ionic Species ◽  
Dependent Behavior ◽  
Nacl Concentration ◽  
Solution Pair ◽  
Current Monitoring ◽  
Ion Species

Electroosmotic flow (EOF) involving displacement of multiple fluids is employed in micro-/nanofluidic applications. There are existing investigations on EOF hysteresis, i.e., flow direction-dependent behavior. However, none so far have studied the solution pair system of dissimilar ionic species with substantial pH difference. They exhibit complicated hysteretic phenomena. In this study, we investigate the EOF of sodium bicarbonate (NaHCO3, alkaline) and sodium chloride (NaCl, slightly acidic) solution pair via current monitoring technique. A developed slip velocity model with a modified wall condition is implemented with finite element simulations. Quantitative agreements between experimental and simulation results are obtained. Concentration evolutions of NaHCO3–NaCl follow the dissimilar anion species system. When NaCl displaces NaHCO3, EOF reduces due to the displacement of NaHCO3 with high pH (high absolute zeta potential). Consequently, NaCl is not fully displaced into the microchannel. When NaHCO3 displaces NaCl, NaHCO3 cannot displace into the microchannel as NaCl with low pH (low absolute zeta potential) produces slow EOF. These behaviors are independent of the applied electric field. However, complete displacement tends to be achieved by lowering the NaCl concentration, i.e., increasing its zeta potential. In contrast, the NaHCO3 concentration has little impact on the displacement process. These findings enhance the understanding of EOF involving solutions with dissimilar pH and ion species.

scholarly journals REAL-TIME DRONE MAPPING BASED ON REFERENCE IMAGES FOR VEHICLE FACILITY MONITORING

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 43-48
Author(s):  
H. Kim ◽  
S. Ham ◽  
I. Lee
Keyword(s):  
Real Time ◽  
Processing Time ◽  
Reference Image ◽  
Target Area ◽  
Monitoring Method ◽  
Reference Images ◽  
Processing Accuracy ◽  
Low Efficiency ◽  
Current Monitoring ◽  
Human Injury

Abstract. Facilities such as road, parking lots play an important role in our lives nowadays. Damage to such a vehicle facility can cause human injury, as well as inconvenience and cost. To prevent this, facility monitoring is performed periodically, but the current monitoring method is low efficiency by blocking the facility or performing it late at night. In order to increase the efficiency of monitoring, research using images, especially drone images, was conducted. However, when using a drone image, there is a trade-off relationship between accuracy and processing time. In this study, we propose a real-time drone mapping based on reference images for efficient vehicle facility monitoring. The real-time drone mapping based on the reference image is composed of reference images build, aerial triangulation (AT) based on reference images (refAT), and orthophoto generation. The refAT refers to a method of performing AT by using a reference images as reference data. We compared the processing time and processing accuracy of direct georeferencing and refAT. We built 154 drone reference images in the target area. The refAT showed a processing time of about 8.95 seconds and an accuracy of 3.4 cm, and the direct georeferencing method showed a processing time of about 1.49 seconds and an accuracy of 22.5 m. If the method of this study is used for facility monitoring, it is expected that the efficiency of monitoring will be improved with speed and accuracy.

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