The Role of Orifice Shape in the Detection of Inclusions in Liquid Metals

"A mathematical model was developed to study the role of orifice shape in the detection of inclusions in LiMCA (Liquid Metal .cleanliness Analyzer) system. The fluid flow field within the ESZ was obtained by solving the Navier-Stokes equations. The trajectories of entrained particles were calculated using the equations for motion of particles. A numerical study of the effect of orifice shape on signal shape generated by inclusions passing through orifice showed that the signals in a parabolic orifice are gaussian in shape, while those in a cylindrical orifice are trapezoidal in shape. This signal shape difference needs to be taken into account when performing particle discrimination. Orifice shape influences also pass-through fraction of inclusions. Finally, a study of the orifice shape on critical conditioning currents suggested that as the polynominal coefficient of the parabolic orifice increases, the critical conditioning current, which is also the maximum operating current, decreases dramatically. These critical conditioning currents also increase as the fluid flow velocity within the ESZ increases. IntroductionThe presence of non-metallic inclusions in metals often leads to impaired mechanical properties such as a reduction in fatigue strength, and to processing problems such as tear-offs in deep drawing and increased breakage rates in wire drawing operations. Similarly, inclusions cause a variety of surface defects in rolled or extruded products.Prior to the development of the LiMCA system (1) at McGill University in the early 1980's, it was not possible to measure inclusions, in situ, in liquid metals. Compared with other techniques, such as sedimentation, filtration and metallography, which require considerable amounts of labor and time, the LiMCA method has the advantage of providing not only information on the volume concentration of inclusions, but also on the size distribution of inclusions immediately and quantitatively."