Improved projection algorithm to invert forward scattered light for particle sizing.
An improved version of the nonlinear iterative projection algorithm is proposed and applied to the inversion of the light-scattering data for particle sizing. Compared with the original projection algorithm, the improved one is much more stable, reliable, and accurate with respect to random noise. The particle-size distributions retrieved with the improved projection algorithm are independent of the different starting solutions. The criterion for stopping iteration is fairly clearly determined and is not a user-dependent parameter of the inversion algorithm. Numerical computer simulations and experimental results for the mixture of monodispersed size distributions are presented to allow both the inversion procedure validity and the instrument performance to be evaluated.
Jianping
W
W
Shizhong
X
X
Yimo
Z
Z
Wei
L
L