Data-driven Modelling of Microfiltration Process with Embedded Static Mixer for Steepwater from Corn Starch Industry

  • Laslo Šereš "University of Novi Sad, Faculty of Economics"
  • Ljubica Dokić "University of Novi Sad, Faculty of Technology"
  • Bojana Ikonić "University of Novi Sad, Faculty of Technology"
  • Dragana Šoronja-Simović "University of Novi Sad, Faculty of Technology"
  • Miljana Djordjević "University of Novi Sad, Faculty of Technology"
  • Žana Šaranović "Economics institute, Belgrade"
  • Nikola Maravić Department of Carbohydrate Food Engineering, Faculty of Technology, University of Novi Sad

Abstract

Cross-flow microfiltration using ceramic tubular membrane was applied for treatment of steepwater from corn starch industry. Experiments are conducted according to the faced centered central composite design at three different transmembrane pressures (1, 2 and 3 bar) and cross-flow velocities (100, 150 and 200 L/h) with and without the usage of Kenics static mixer. For examination of the influence of the selected operating conditions at which usage of the static mixer is justified, a response surface methodology and desirability function approach were used. Obtained results showed improvement in the average permeate flux by using Kenics static mixer for 211 % to 269 % depending on experimental conditions when compared to the system without the static mixer. As a result of optimization, the best results considering flux improvement as well as reduction of specific energy consumption were obtained at low transmembrane pressure and lower feed cross-flow rates.

Keywords

optimization, RSM, cross-flow microfiltration, steepwater, static mixer, corn starch industry
Published
01-06-2017
How to Cite
ŠEREŠ, Laslo et al. Data-driven Modelling of Microfiltration Process with Embedded Static Mixer for Steepwater from Corn Starch Industry. Periodica Polytechnica Chemical Engineering, [S.l.], june 2017. ISSN 1587-3765. Available at: <https://pp.bme.hu/ch/article/view/10400>. Date accessed: 26 sep. 2017. doi: https://doi.org/10.3311/PPch.10400.
Section
Articles