寄書

Assessment of fractional collection efficiency in louvered inertial particle classifiers

“…For example, the face angle of the louver array  is significant. The correlation shows that when  is approximately 4 o the fractional collection efficiency for any St 1/2 is a maximum, which agrees with the observations of [2], but here the data of other investigators is included. Thus the selective classification of a particle of size D p50 , in a louver array with a face angle greater than 4 o , requires a larger St 50 1/2 .…”

“…Multiple linear regression analysis [21,22] is used for correlating the fractional collection efficiency data of Hiyoshi, et al [1], Ushiki, et al [2] and Okada, et al [3]. This correlation is based on non-dimensional variables that define the geometry and hydrodynamic environment.…”

“…The rectilinear classifier of [2] is a single array of flat plate louvers opposite a solid wall, and is compatible with those of [1] and [3] for symmetric arrays of louvers divided by a center plate. In Figure 1 a schematic of three of nine louvers, applicable to a geometry in [2], shows the salient geometric variables in (x, y). The full array of nine louvers converges from an inlet |y| = Y to an exit |y| = Y/Ar, with Ar the inlet to minor flow height ratio.…”

“…The work of Ushiki et al [2] and Poulton et al [5] suggest that pressure loss is affected by these geometric variables and the properties of the inlet gas flow , , and V while the fractional collection efficiency is also affected by the particle properties  p and D p . That reasoning, applicable to dilute particle concentrations that do not affect the gas flow, is followed here.…”

“…A r -Area (height) for inlet flow/area (height) for minor flow b -Perpendicular distance or space between adjacent louvers c -Louver chord length C(P, T, D p ) -Slip correction C p = P/[V 2…”