Magnetohydrodynamic velocity profile measurement for microelectromechanical systems micro-robot design

Abstract

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.

Estimación de la incertidumbre en un sistema de visión para la evaluación experimental de un mezclador magneto-hidrodinámico

“…Por otra parte, de acuerdo con la Ley de Fuerza de Lorenz, expresada en (1), en condiciones de laboratorio el campo magnético inducido por la corriente eléctrica que circula en el fluido es muy pequeño en comparación con el campo magnético aplicado a través del imán (Flores et al, 2017). Esta condición implica que el número magnético de Reynolds, expresado en (2), tome valores menores a la unidad, es decir, R m << 1, donde m 0 es la permitividad magnética en el vacío, s es la conductividad eléctrica, U c es la escala característica de velocidad y L es la escala característica de longitud (Davidson, 2001).…”

“…• Soporte para cámara de 25 cuadros por segundo (FPS, por sus siglas en inglés), e iluminación basada en campo oscuro (Flores et al, 2017). • Sistema de cómputo con programa MATLAB y aplicación PIVLAB (Thielicke & Stamhuis, 2014).…”

In-Line Monitoring and Control of Rheological Properties through Data-Driven Ultrasound Soft-Sensors

“…Many recent works focus their efforts on non-invasive techniques for measuring the velocity profile or rheology curve in fluids. It is worth mentioning magnetohydrodynamics as one of the emerging techniques for applications based on microfluidics [5,6] and it can be used to measure flow rate in electrically conductive solution. Another promising technique is based on ultrasounds, which provide inline, non-invasive tools that exploit the Doppler echo of the signal through the material.…”