An MHD Stirrer 2D Velocity Profile Measurement Validation Through a Machine Vision System

The paper presents a technique developed for the enhancement of a Particle Image Velocimetry (PIV) measurement process in a customized machine vision system. The PIV measurements are performed for an accurate “Velocity Profile” mathematical model validation of a Magnetohydrodynamic (MHD) stirrer prototype. Data mining and filtering have been applied to a raw measurement database from the customized machine vision system designed to evaluate the MHD stirrer prototype. Outlier's elimination and smoothing have been applied to raw data to approximate the PIV measurements output to the velocity profile mathematical model in order to increase the accuracy of a customized machine vision system for 2D velocity profile measurements. The accurate measurement of the 2D velocity profile is fundamental owing to the requirement of future enhancement of the customized machine vision system to construct the 3D velocity profile of the MHD stirrer prototype. The presented technique can be used for measurement and validation in the design of devices that require fluid manipulation for tasks such as pumping, networking, propelling, stirring, mixing, and even cooling without a need for mechanical components due to MHD's non-intrusive nature provides a solution to mechanical moving elements issues.

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