NURMIN BOLONG et al: CHARGE PROPERTY MODELING OF NANOFILTRATION HOLLOW

نویسندگان

  • Nurmin Bolong
  • Ismail Saad
  • A. F. Ismail
  • M. R. Salim
  • T. Matsuura
چکیده

The development of models that predict membrane performance has contributed a better understanding of the basic principles and mechanisms of solute rejection and deposition. It also serves as fundamental properties that allow specific characterization determination. This work fabricates hollow fiber membranes using Polyethersulfone (PES). The membranes were fabricated in-house using phase inversion technique by modification with synthesized charged-surface modifying macromolecules (cSMM). The cSMM comprise with end-group component of Hydroxybenzene sulfonate or Hydroxybenzene carboxylate. The electrical properties of the membranes were modeled by utilizing the combination of irreversible thermodynamic model, StericHindrance Pore (SHP) model and Teorell-Meyer-Sievers (TMS) model. The negatively-charged of the modified hollow fiber membranes was calculated based on sodium chloride rejection experimental performance. The analysis of the modeling results revealed that the modification of nanofiltration membrane using sulfonate induce negative 1.61 electrical properties compared to carboxylate that is negative 1.49 for both type modified PES membranes.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Modeling of Nanofiltration for ‎Concentrated Electrolyte Solutions using ‎Linearized Transport Pore Model

   In this study, linearized transport pore model (LTPM) is applied for modeling nanofiltration (NF) membrane separation process. This modeling approach is based on the modified extended Nernst-Planck equation enhanced by Debye-Huckel theory to take into account the variations of activity coefficient especially at high salt concentrations. Rejection of single-salt (NaCl) electrolyte is inve...

متن کامل

Negatively charged polyethersulfone hollow fiber nanofiltration membrane for the removal of bisphenol A from wastewater

Removal of endocrine disrupting compound (viz., bisphenol A, BPA) by laboratoryfabricated hollow fiber polyethersulfone (PES) nanofiltration (NF) membranes have been investigated. The tailor made charged PES hollow fiber NF membranes have been developed by blending negatively charged surface modifying macromolecule (cSMM). It is resulted more than 90% removal of BPA, mainly due to negatively ch...

متن کامل

Feasibility Study of Advanced NOM-Reduction by Hollow Fiber Ultrafiltration and Nanofiltration at a Swedish Surface Water Treatment Plant

Membrane technology, i.e., ultrafiltration and nanofiltration, is growing in popularity, as it is a space efficient alternative for surface water treatment. Two types of hollow fiber membranes were tested in a fully equipped and automated pilot at a Swedish water treatment plant. Raw water was treated by a nanofilter and by coagulation before an ultrafilter. Operation parameters recorded during...

متن کامل

Modeling and Simulation of CO2 Absorption Enhancement in Hollow-Fiber Membrane Contactors using CNT–Water-Based Nanofluids

Absorption of CO2 from a gas mixture containing CO2 and nitrogen by water-based CNT nanofluids in gas–liquid hollow fiber membrane contactor was modeled and solved using COMSOL Multiphysics 5.4. The model assumed partial wetting of the membrane, along with diffusion in the axial and radial directions. In addition, Brownian motion and grazing effects were both considered in the model. The main c...

متن کامل

Modeling and Simulation of Water Softening by Nanofiltration Using Artificial Neural Network

An artificial neural network has been used to determine the volume flux and rejections of Ca2+ , Na+ and Cl¯, as a function of transmembrane pressure and concentrations of Ca2+, polyethyleneimine, and polyacrylic acid in water softening by nanofiltration process in presence of polyelectrolytes. The feed-forward multi-layer perceptron artificial neural network including an eight-neuron hidde...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014