A statistically robust Wilson-plot methodology for calculating membrane mass transfer coefficients

In Won Kim, Hee Ouel Song, Jung Rim Haw, Kwang Ho Song, Hyung Keun Lee

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The Wilson-plot method has been used for mass transfer correlations and proved to be suitable for systems operating in steady-state conditions and where the only variable is the fluid velocity. A statistically robust Wilson-plot methodology is suggested and proved to be available to calculate the mass transfer coefficients of hollow fiber membranes. This method combines the linear regression analysis and objective function of F-ratios in the analysis-of-variance (ANOVA) table, or coefficient of determination, R2. For the objective function of the optimization problem to find the exponent of velocity, the F-ratio is more suitable than the coefficient of determination. With moderate errors in the measured data, membrane mass transfer coefficients are estimated with small confidence intervals.

Original languageEnglish
Pages (from-to)584-588
Number of pages5
JournalJournal of Industrial and Engineering Chemistry
Volume14
Issue number5
DOIs
Publication statusPublished - 2008 Sep 1

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Mass transfer
Membranes
Analysis of variance (ANOVA)
Linear regression
Regression analysis
Fluids
Fibers

Keywords

  • Hollow fiber membrane
  • Membrane mass transfer coefficient
  • Wilson-plot

ASJC Scopus subject areas

  • Chemical Engineering(all)

Cite this

A statistically robust Wilson-plot methodology for calculating membrane mass transfer coefficients. / Kim, In Won; Song, Hee Ouel; Haw, Jung Rim; Song, Kwang Ho; Lee, Hyung Keun.

In: Journal of Industrial and Engineering Chemistry, Vol. 14, No. 5, 01.09.2008, p. 584-588.

Research output: Contribution to journalArticle

Kim, In Won ; Song, Hee Ouel ; Haw, Jung Rim ; Song, Kwang Ho ; Lee, Hyung Keun. / A statistically robust Wilson-plot methodology for calculating membrane mass transfer coefficients. In: Journal of Industrial and Engineering Chemistry. 2008 ; Vol. 14, No. 5. pp. 584-588.
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