Publisher : The Korean Environmental Sciences Society
DOI : 10.5322/JES.2012.21.5.613
Title & Authors
The Prediction of Optimal Pulse Pressure Drop by Empirical Static Model in a Pulsejet Bag Filter Suh, Jeong-Min; Park, Jeong-Ho; Lim, Woo-Taik; Kang, Jum-Soon; Cho, Jae-Hwan;
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. Two models were used to predict the total pressure drop according to the operating conditions. These model parameters were estimated from the 180 experimental data points. The empirical model (EM) with filtration velocity, areal density, inlet dust concentration, pulse interval time and pulse pressure shows the best correlation coefficient (R=0.971) between experimental data and model predictions. The empirical model was used as it showed higher correlation coefficient (R=0.971) compared to that of the Multivariate linear regression(MLR) (R=0.961). The minimum pulse pressure predicted by empirical model (EM) was 5kg/.