Abstract
Any industrial process needs to work with the optimal operating
conditions and thus the evaluation of their robustness is a critical
issue. A modeling of a laboratoryscale wire-to-plane two stages
electrostatic precipitator for guiding the identification of the set
point, is presented this in paper. The procedure consists of formulating
recommendations regarding the choice of optimal values for electrostatic
precipitation. A twostages laboratory precipitator was used to carry out
the experiments, with samples of wood particles of average granulometric
size 10 μm. The parameters considered in the present study are the
negative applied high voltage of the ionization stage, the positive
voltage of the collection stage and the air speed. First, three
“one-factor-at-a-time” experiments were performed followed by a factorial
composite design experiments, based on a two-step strategy: 1) identify
the domain of variation of the variables; 2) set point identification and
optimization of the process.
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