In this paper, we present a modeling of a
captured ferromagnetic particles quantifying method based on the detection
and evaluation of the magnetic field variation caused by the particle static
buildup. The detecting element is a Hall-effect sensor (probe) associated to
the particle capture element which is an electromagnet with iron core. From
a known value of the magnetic field measured at the particle static buildup
locality, we predict the particle global concentration in the treated
material sample (powder or liquid). This prediction is achieved by solving
the inverse problem for the captured particles magnetic field variation.
Such a resolution is based on an iterative resolution of the forward problem
until obtaining the global particle concentration related to the measured
value of the field variation. Because an exact value can not be obtained we
retain the value that minimizes an error function. To minimize such a
function we have used the Tabu searching method.