Publication detail

Curve fitting model of Polycarbonate Al2O3-nanoparticle membranes for removing emerging contaminants from wastewater: Effect of temperature and nanoparticles

Amiri, Mahmoud Kiannejad Zahmatkesh, Sasan Emami, Mohammad Reza Sarmasti Bokhari, Awais

Original Title

Curve fitting model of Polycarbonate Al2O3-nanoparticle membranes for removing emerging contaminants from wastewater: Effect of temperature and nanoparticles

Type

journal article in Web of Science

Language

English

Original Abstract

The purpose of this paper is to demonstrate the use of the phase separation procedure in order to synthesize ultrafiltration polycarbonate containing aluminum oxide (Al2O3) nanoparticles (NPs) to remove emerging con-taminants from wastewater at varying temperatures and nanoparticle contents. In the membrane structure, Al2O3-NPs are loaded at rates of 0 < phi < 1% volume. Fourier transform infrared (FTIR), atomic force microscopy (AFM), and scanning electron microscopy (SEM) were used to characterize the fabricated membrane containing Al2O3-NPs. Nevertheless, volume fractions ranged from 0 to 1% during the experiment, which was conducted between 15 and 55 degrees C. An analysis of the ultrafiltration results was conducted by using a curve-fitting model to determine the interaction between these parameters and the effect of all independent factors on the emerging containment removal. Shear stress and shear rate for this nanofluid are nonlinear at different temperatures and volume fractions. Viscosity decreases with increasing temperature at a specific volume fraction. In order to remove emerging contaminants, a decrease in viscosity at a relative level fluctuates, resulting in more porosity in the membrane. NPs become more viscous with an increasing volume fraction at any given temperature on the membrane. For example, a maximum relative viscosity increases of 34.97% is observed for a 1% volume fraction at 55 degrees C. A novel model is then used to measure the viscosity of nanofluid. This indicates that the results and experimental data are in very close agreement, as the maximum deviation is 2.6%.

Keywords

Curve fitting model; Emerging containments; Nanomaterial; Nanoparticles; Ultrafiltration polycarbonate; Wastewater

Authors

Amiri, Mahmoud Kiannejad; Zahmatkesh, Sasan; Emami, Mohammad Reza Sarmasti; Bokhari, Awais

Released

1. 5. 2023

Publisher

PERGAMON-ELSEVIER SCIENCE LTDTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND

Location

PERGAMON-ELSEVIER SCIENCE LTDTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND

ISBN

0045-6535

Periodical

CHEMOSPHERE

Number

322

State

United Kingdom of Great Britain and Northern Ireland

Pages count

10

URL

https://www.sciencedirect.com/science/article/pii/S0045653523004514?via%3Dihub

BibTex

@article{BUT187502,
  author="Amiri, Mahmoud Kiannejad and Zahmatkesh, Sasan and Emami, Mohammad Reza Sarmasti and Bokhari, Awais",
  title="Curve fitting model of Polycarbonate Al2O3-nanoparticle membranes for removing emerging contaminants from wastewater: Effect of temperature and nanoparticles",
  journal="CHEMOSPHERE",
  year="2023",
  number="322",
  pages="10",
  doi="10.1016/j.chemosphere.2023.138184",
  issn="0045-6535",
  url="https://www.sciencedirect.com/science/article/pii/S0045653523004514?via%3Dihub"
}