STUDY PROPERTIES OF POLYSULFONAMIDE MEMBRANE

Authors

DOI:

https://doi.org/10.35546/kntu2078-4481.2023.4.20

Keywords:

UPM-20 membrane, humate solution, filtration, specific productivity, selectivity, permeate, turbidity, color, mathematical model.

Abstract

In this work, the properties of the polysulfonamide membrane UPM-20 were studied for the purpose of further purification of contaminated water from suspended fine particles and dissolved impurities that cause turbidity and color of water. The influence of pressure from 1 to 5 atmospheres and filtration time from 20 to 100 minutes on specific productivity, selectivity and turbidity and color values of the permeate was shown. It was found that for all pressure values there are three periods in the filtration process of the model sodium humate solution: a sharp change, a slow decrease in parameters and no significant changes in permeate parameters. An increase in pressure and an increase in the duration of the sodium humate filtration leads to a decrease in the productivity index from 87 to 2.7 m2/(m3·h)·102. The selectivity of the membrane in terms of color and turbidity was calculated. It is shown that the highest selectivity for color is in the range of 95.2 to 96 % for filtration at a pressure of 5 atmospheres and a duration of 80–100 minutes; respectively, for selectivity for turbidity, this indicator is 97.2 % for sodium humate filtration at a pressure of 5 atmospheres and a process duration of 90 minutes. A mathematical model of the filtration process of the model solution, sodium humate, was constructed using the Python programming language and the Matplotlib library for constructing mathematical dependencies. It was found that the purification of sodium humate on the UPM-20 membrane follows a non-linear dependence. Mathematical equations were obtained that adequately describe the dependence of the output variables on the selected technological factor of the filtration process. It is shown that these equations are in the form of a third-order polynomial, a cubic model, which can be used to describe the process of sodium humate filtration using the UPM-20 membrane at different pressures, from 1 to 5 atmospheres.

References

Hoffman C., Silau H., Pinelo M., Woodley J. M., Daugaard A. E. Surface modification of polysulfone membranes applied for a membrane reactor with immobilized alcohol dehydrogenase. Separation and Purification Technology, 2018. Vol. 14. P. 82–89. URL: http://dx.doi.org/10.1016/j.mtcomm.2017.12.019

Barth C. Asymmetric polysulfone and polyethersulfone membranes: effects of thermodynamic conditions during formation on their performance. Membr. Science, 2000. Vol. 169. P. 287–299. URL: https://doi.org/10.1016/S0376-7388(99)00344-0

Gardi I., Mishael Y. G. Designing a regenerable stimuli-responsive grafted polymer-clay sorbent for filtration of water pollutants. Science and Technology of Advanced Materials, 2018. Vol. 19 (1). P. 588–598. URL: https://doi.org/10.1080/14686996.2018.1499381

Medici S., Peana M., Grisponi G., Nourchi V. Silver coordination compounds: A new horizon in medicine. Coordination Chemistry Reviews, 2016. Vol. 327-32. P. 349–359. URL: http://dx.doi.org/10.1016/j.ccr.2016.05.015

Fionah A., McLarney K., Judd A., Escobar I. Effects of the Applied Potential on the Performance of Polysulfone Membranes Functionalized with Sulfonated Polyether Ether Ketone Polymers. Membranes, 2023. Vol. 13(7). P. 1–24. URL: https://doi.org/10.3390/membranes13070675

D. M. Warsinger, S. Chakraborty, E. W. Tow, D. Jassby. A review of polymeric membranes and processes for potable water reuse. Progress in Polymer Science, 2018. Vol. 81. P. 209–234.

Mou P., Jons S. D. Chemistry and fabrication of polymeric nanofiltration membranes. Polymer, 2016. Vol. 103. P. 417–456. URL: http://dx.doi.org/10.1016/j.polymer.2016.07.085

Templeman K., Casanova S., Benes N. E. The effect of hydrocarbon pollution on polysulfone-based membranes in aqueous separations. Separation and Purification Technology, 2019. Vol. 224. P. 348–355. URL: http://dx.doi.org/10.1016/j.seppur.2019.05.013

Kim I. C., Yun H. G., Lee K. H. Preparation of asymmetric polyacrylonitrile membrane with small pore size by phase inversion and post-treatment process. Journal of Membrane Science, 2002. Vol. 199. P. 75–84.

Tai-Horng Y., Jhi-Hsien H., Wen-Yuan C. Effect of evaporation temperature on the formation of particulate membranes from crystalline polymers by drycast process. Eur. Polym. J., 2002. Vol. 388(1). P. 63–72. URL: http://dx.doi.org/10.1016/S0014-3057(01)00183-5

Feng L., Jun Z., Xiaolin W., Jianfei C., Zhongzi X. Gaofenzi xuebao. Acta. Polym. Sin, 2002. Vol. 5. P. 566–571.

He Y., Uehara S., Takana H., Nishiyama H. Numerical Modelling and Simulation of Chemical Reactions in a Nano-Pulse Discharged Bubble for Water Treatment. Plasma Science and Technology, 2016. Vol.18 (9). P. 924–932. URL: http://dx.doi.org/10.1088/1009-0630/18/9/09

Nadezhdin I., Papasidero D., Goryunov A., Manenti F. Optimisation of EDM process for water purification. Chemical Engineering Transactions, 2016. Vol. 52. P. 325–330. URL: https://doi.org/10.3303/CET1652055

Oleynik O., Airapetian T., Kurganska S. Evaluation of the performance of aerotanks due to add-on attached biocenosis. Science and Transport Progress, 2019. Vol. 4(82). P. 37–46. URL: https://doi.org/10.15802/stp2019/175883

Rezakazemi M., Ghafarinazari A., Shirazian S., Hoshsima A. Numerical Modeling and Optimization of Wastewater Treatment Using Porous Polymeric Membranes. Polymer Engineering and Science, 2013. Vol. 53(6). P. 1272–1278. URL: http://dx.doi.org/10.1002/pen.23375

Viccione G., Evangelista S. Experimental and numerical analysis of the hydraulic performance of filtering cartridges for water treatment. HIC 2018. 13th International Conference on Hydroinformatics. EPiC Series in Engineering. Palermo, Italy, July 1–6, 2018. P. 2187–2195. URL: https://doi.org/10.29007/b26c

Downloads

Published

2024-01-29