Magnetohydrodynamic velocity profile measurement for microelectromechanical systems micro-robot design
Autor: | Daniel Hernandez-Balbuena, Miguel Bravo-Zanoguera, Julio C. Rodriguez-Quinonez, Wendy Flores-Fuentes, Danilo Cáceres-Hernández, Mónica Valenzuela-Delgado, Moises Rivas-Lopez, Oleg Sergiyenko |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
010302 applied physics
Microelectromechanical systems Computer science Machine vision lcsh:Electronics Mechanical engineering lcsh:TK7800-8360 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences lcsh:QA75.5-76.95 Computer Science Applications Physics::Fluid Dynamics Artificial Intelligence 0103 physical sciences Magnetohydrodynamic drive lcsh:Electronic computers. Computer science Magnetohydrodynamics 0210 nano-technology Software Robot design |
Zdroj: | International Journal of Advanced Robotic Systems, Vol 16 (2019) |
ISSN: | 1729-8814 |
Popis: | The development of microelectromechanical systems based on magnetohydrodynamic for micro-robot applications requires precise control of the micro-flow behavior. The micro-flow channel design and its performance under the influence of the Lorentz force is a critical challenge, the mathematical model of each magnetohydrodynamic device design must be experimentally validated before to be employed in the fabrication of microelectromechanical systems. For this purpose, the present article proposes the enhancement of a particle image velocimetry measurement process in a customized machine vision system. The particle image velocimetry measurements are performed for the micro-flow velocity profile mathematical model validation of a magnetohydrodynamic stirrer prototype. Data mining and filtering have been applied to a raw measurement database from the customized machine vision system designed to evaluate the magnetohydrodynamic stirrer prototype. Outlier’s elimination and smoothing have been applied to raw data to approximate the particle image velocimetry measurements output to the velocity profile mathematical model to increase the accuracy of a customized machine vision system for two-dimensional velocity profile measurements. The accurate measurement of the two-dimensional velocity profile is fundamental owing to the requirement of future enhancement of the customized machine vision system to construct the three-dimensional velocity profile of the magnetohydrodynamic stirrer prototype. The presented methodology can be used for measurement and validation in the design of microelectromechanical systems micro-robot design and any other devices that require micro-flow manipulation for tasks such as stirring, pumping, mixing, networking, propelling, and even cooling. |
Databáze: | OpenAIRE |
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