General correlation equations for predicting filtration efficiency under unfavorable surface interactions

Autor: Keng-Yi Liao, You-Im Chang, Wei-You Cheng
Rok vydání: 2017
Předmět:
Zdroj: Journal of the Taiwan Institute of Chemical Engineers. 78:1-7
ISSN: 1876-1070
DOI: 10.1016/j.jtice.2017.04.031
Popis: General correlations were developed in this work for predicting the initial collection efficiency and the filter coefficient ratio under the unfavorable surface condition when electrostatic repulsive force prevents colloidal particles from reaching the filter grain surfaces. Simulation was done by using the Brownian dynamics method and experimental data was used for verifying the general correlations developed. It was found that the theoretical and experimental results fit the predicted filter coefficient ratio best by using algebraic averaged correlations.
Databáze: OpenAIRE