A Study of Copper (II) Ions Removal by Reverse Osmosis under Various Operating Conditions

The study aims to treat artificial wastewater contaminated with copper (II) ions by reverse osmosis using (SEPA CF042 Membrane Test Skid-TFC BW30XFR). Several concentrations of feedstock were prepared. Different operating pressure, temperature, and flow rate were applied. The effect of these operating conditions on both the amount of Cu (II) removal and the permeate flux was monitored. The results of the study revealed that both the permeate flux and Cu (II) removal amount were directly proportional to the operating pressure and feed temperature but inversely proportional to the feed concentration. In contrast, the feed flow rate showed a negligible effect on the permeate flux and Cu (II) removal amount. The temperature correction factor (TCF) of the membrane was calculated and was found to be directly proportional to the feed temperature but inversely proportional to the applied pressure. It was seen that the concentration and flow rate of that feed did not affect the temperature correction factor. Mathematical models have been developed based on these experimental data for both permeate flux and the Cu (II) removal. It was noted that the permeate flux model matched the experimental data, while the Cu (II) removal model did not show a perfect match. In addition to the above, the research highlights for subsequent studies the possibility of a deep link between experimental work and mathematical models.

Automated summary

This study aims to treat artificial wastewater contaminated with copper (II) ions using reverse osmosis technology. The impact of different operating conditions such as pressure, temperature, and flow rate on Cu (II) removal and permeate flux was investigated. The results showed that pressure and feed temperature were positively correlated with both permeate flux and Cu (II) removal, while feed concentration was negatively correlated. Feed flow rate had a negligible effect. Mathematical models were developed based on the experimental data, with the permeate flux model matching well with the data, but the Cu (II) removal model not showing a perfect fit. Additionally, the study highlighted the potential for a strong connection between experimental work and mathematical models.