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The Prediction of Optimal Pulse Pressure Drop by Empirical Static Model in a Pulsejet Bag Filter
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 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;
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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/.
Pulse-jet bagfilter;Coke dust;Pulse pressure;Pressure drop;Empirical model;
 Cited by
다중회귀모형을 이용한 벤츄리가 없는 충격기류식 여과집진장치 압력손실 예측,서정민;박정호;조재환;진경호;정문섭;이병인;홍성철;시바쿠마르;최금찬;

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