Particle discrimination in water based LiMCA (liquid metal cleanliness analyzer) system

A mathematical model has been developed to predict the motion of particles in a water based version of the LiMCA system - APS II (Aqueous Particle Sensor) system. The fluid field entering the electric sensing zone (ESZ) was obtained by solving the Navier-Stokes equations and the trajectories of particles by equations for the motion of particles. The results showed that the motions of the particles inside the parabolic shaped orifice are affected by particle density and size. Entrained micro-bubbles lead the fluid flow, travelling faster than latex micro-spheres, which are slightly denser than the fluid and lag only slightly behind the flow. Silica particles, which are much denser than the fluid, lag significantly behind the flow, accelerating more slowly than latex micro-spheres and much more slowly than bubbles. The relative velocities between the entrained particles and the inflowing water decrease with decreasing particle size. The experimental results showed that 1) larger particles have longer transit times than do smaller ones, 2) bubbles have shorter transit times than do latex spheres and much shorter than do silica particles of the same size and 3) differences in transit times are more pronounced for larger particles in keeping with theoretical predictions. The results prove that inclusion discrimination on the basis of density difference is realizable in water based LiMCA systems. (author)