• Title/Summary/Keyword: Pulse-jet bagfilter

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The Prediction of Optimal Pulse Pressure Drop by Empirical Static Model in a Pulsejet Bag Filter (경험모델을 이용한 충격기류식 여과집진기의 적정 탈진압력 예측)

  • Suh, Jeong-Min;Park, Jeong-Ho;Lim, Woo-Taik;Kang, Jum-Soon;Cho, Jae-Hwan
    • Journal of Environmental Science International
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    • v.21 no.5
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    • pp.613-622
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    • 2012
  • 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/$cm^2$.

Prediction of the Efficiency of Factors Affecting Pressure Drop in a Pulse Air Jet-type Bag Filter (충격기류식 여과집진장치에서 압력손실에 영향을 주는 인자의 효율예측)

  • Suh, Jeong-Min;Ryu, Jae-Yong;Lim, Woo-Taik;Jung, Moon-Sub;Park, Jeong-Ho;Shin, Choon-Hwan
    • Journal of Environmental Science International
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    • v.19 no.4
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    • pp.437-446
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    • 2010
  • The pressure drop through pulse air jet-type bag filter is one of the most important factors on the operating cost of bagfilter houses. In this study, the pilot-scale pulse air jet-type bag filter with about 6 m2 filtration area was designed and tested for investigating the effects of the four operating conditions on the total pressure drop, using the coke dust collected from a steel mill factory. When the face velocity is higher than 2 m/min, it is not applicable to on-spot due to the increase of power expenses resulting from a high-pressure drop, and thus, 1.5 m/min is considered to be reasonable. The regression analysis results show that the degree of effects of independent parameters is a order of face velocity > concentration > time > pressure. The results of SPSS answer tree analysis also reveal that the operation time affects the pressure drop greatly in case of 1 m/min of face velocity, while the inlet concentration affects the pressure drop in case of face velocity more than 1.5 m/min.