Study of particle dynamics in Floatex Density Separator through image processing and analysis technique

Floatex density separator (FDS), the hindered settling
classifier is used to separate the particles on the basis of their specific gravity. Optimum recovery of high
quality products at a large throughput allows simpler and less costly operation in the FDS. However, a thorough
understanding of the system dynamics is required to
develop a proper control strategy of the FDS. This paper
addresses some of the issues . Computational intelligence
(CI) is primarily concerned with the development of
computer systems that are capable of adapting to and
exploiting information about their environments. Thus
image processing and analysis acts as an important Cl
technique that can be used for Floatex Density Separator
to develop a process control system suitable for effect-ively manipulating this complex engineering system chara-cterized by relatively stow process dynamics.