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경험모델을 이용한 충격기류식 여과집진기의 적정 탈진압력 예측
서정민 ( Jeong Min Suh ),박정호 ( Jeong Ho Park ),임우택 ( Woo Taik Lim ),강점순 ( Jum Soon Kang ),조재환 ( Jae Hwan Cho ) 한국환경과학회 2012 한국환경과학회지 Vol.21 No.5
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/㎠.
Influence of pulsing-air injection distance on pressure drop in a coke dust bagfilter
서정민,Young-Il Lim,John Zhu 한국화학공학회 2011 Korean Journal of Chemical Engineering Vol.28 No.2
The effect of the pulsing-air injection distance between the nozzle and venturi on total pressure drop was investigated in a pilot-scale pulse-jet bagfilter for coke dust of a steel mill factory. Theoretical and empirical models were used to predict the pressure drop. The empirical model contains two parameters--dust cake resistance and exponent of areal mass density--to be estimated by experiment. The optimum injection distance for minimizing the total pressure drop was evaluated by 64 experimental data at a fixed filtration velocity and pulse pressure in the practical ranges of dust concentration and pulse interval time. The dust cake resistance shows a minimum value at the optimum injection distance. The empirical model is in good agreement with the experimental data, showing a correlation coefficient of 0.952.