Abstract
A pilot-scale pulse-jet bagfilter was designed, built, and tested for the effects of four operating conditions (filtration velocity, inlet dust concentration, pulse pressure, and pulse interval time) on the total system pressure drop, using coke dust from a steel mill factory. Four models were used to predict the total pressure drop according to the operating conditions. These model parameters were estimated from the 192 experimental data points. The filtration velocity has been determined to be the most relevant variable affecting the pressure drop. An efficient operating condition considering the four variables is proposed from analysis of the dimensionless group model.
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