• Title/Summary/Keyword: Algebraic-linear regression model

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Prediction of Venturi Effect on Pressure Drop in Pulse Air Jet Bag Filter (충격기류식 여과집진장치에서 벤츄리가 압력손실에 미치는 영향)

  • Moon-Sub Jung;Jung-Kwon Kim;Yong-Hyun Chung;Jeong-Min Suh
    • Journal of Environmental Science International
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    • v.32 no.9
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    • pp.659-669
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    • 2023
  • The purpose of this study is to predict the pressure drop due to the installation of venturi under diverse operating conditions such as dust concentration, pulse interval and pressure, and filtration velocity using algebraic-linear regression model and use it as an economic data and efficient operating condition for a pulse air jet bag filter. A pilot scale bag filter with a filter a filter size(Ø140 × 850ℓ, 12) was used, and the filters used in the experiment were the polyester filters most commonly used in real industrial sites. The SAS 9.4 program (SAS Institute, USA) was used to predict and to determine the effects of inlet concentration (Ci), pulse interval (Pi) and pressure (Pp), filtration velocity (Vf), presence or absence of venturi, etc. The results are shown below. The variation in pressure drop with or without venturi installation was 38.8 mmAq when venturi is installed and 47.6 mmAq when venturi is not installed, indicating a difference in pressure drop of 8.8 mmAq depending on venturi installation. It is estimated that the efficiency can be improved by about 18.5% if the venturi is installed.