Application of response surface methodology (RSM) to optimize operating conditions during ultrafiltration of oil-in-water emulsion

Sadeghian, Mohsen; Sadeghi, Morteza; Hesampour, Mehrdad; Moheb, Ahmad

doi:10.1080/19443994.2014.919607

Cited by 14 publications

(10 citation statements)

References 19 publications

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“…Hence, cross flow rate and transmembrane pressure have been included in the present investigation as process parameters which need to be optimized in order to maximize response rejection. However, in such cases, interaction effects of the otherwise independent process factors on the response are frequently encountered [30]. Such effects can be adequately handled using the RSM statistical tool as has been witnessed in this study [23].…”

Section: Experimental Designmentioning

confidence: 90%

“…This design provides possible number of experimental combinations considering the number of independent variables involved in the process and the number of repetitions of the experiments at the center point. However, in such cases, interaction effects of the otherwise independent process factors on the response are frequently encountered [30]. Cross flow rate and transmembrane pressure, besides the other feed characteristics, such as pH, have been considered as vital independent operating factors, in various studies dealing with membrane-based separation processes and their optimization using RSM [23,30].…”

Section: Experimental Designmentioning

confidence: 99%

“…The three process variables studied in this work were pH of the wastewater (X 1 ), cross flow rate (X 2 ), and trans-membrane pressure (X 3 ). Cross flow rate and transmembrane pressure, besides the other feed characteristics, such as pH, have been considered as vital independent operating factors, in various studies dealing with membrane-based separation processes and their optimization using RSM [23,30]. Hence, cross flow rate and transmembrane pressure have been included in the present investigation as process parameters which need to be optimized in order to maximize response rejection.…”

Section: Experimental Designmentioning

confidence: 99%

“…Considering the particular case for the removal of chromium (VI) from wastewater, RSM has been used to optimize the treatment processes based on adsorption [24], emulsion liquid membrane [25], electrocoagulation [26], biosorption [27], electroreduction [28], electrochemical [29], ultrafiltration [30], ion exchange [31], etc. However, there is no information available in the literature describing the optimization of chromium (VI) removal from wastewater using cross flow nanofiltration membrane module.…”

Section: Introductionmentioning

confidence: 99%

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Optimizing the cross‐flow nanofiltration process for chromium (VI) removal from simulated wastewater through response surface methodology

Anupam

Sikder

Pal

et al. 2015

Env Prog and Sustain Energy

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Experimental and statistical investigations on the removal of chromium (VI) from simulated wastewater over the influence of different parameters viz. pH, cross flow rate, and transmembrane pressure were carried out in cross‐flow nanofiltration through central composite response surface design. A satisfactory prediction second order regression model was developed and analysis of variance (ANOVA) showed a high coefficient of determination with R2 value of 0.9820. The maximum chromium (VI) rejection of 0.9893 and permeate flux of 38 L/h were achieved at optimum parametric conditions of pH 11, cross flow rate 700 L/h and transmembrane pressure 10 bar. The results indicate that the chromium (VI) rejection strongly depends not only on linear and square effects of pH, cross flow rate, and transmembrane pressure but also on interaction effects of pH and transmembrane pressure as well as cross flow rate and transmembrane pressure. The study reveals that the nanofiltration process at the optimal conditions could lead to a significant result in removal of chromium (VI) from wastewater. © 2015 American Institute of Chemical Engineers Environ Prog, 34: 1332–1340, 2015

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Section: Experimental Designmentioning

confidence: 90%

Section: Experimental Designmentioning

confidence: 99%

Section: Experimental Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimizing the cross‐flow nanofiltration process for chromium (VI) removal from simulated wastewater through response surface methodology

Anupam

Sikder

Pal

et al. 2015

Env Prog and Sustain Energy

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“…The reported results in Figure 10 show that increasing velocity causes an increase in turbulence and mass transfer coefficient. Therefore, the effect of polarization is weakened and the permeate flux increases significantly [56]. Increasing cross flow velocity through the UF membrane leads to a decline in COD and turbidity removal efficiency Figure 11.…”

Section: Ultrafiltrationmentioning

confidence: 99%

Integrated Ultrafiltration Membranes and Chemical Coagulation for Treatment of Baker’s Yeast Wastewater

H¹,

Sadeghi²,

Rajaeieh³

et al. 2017

J Membr Sci Technol

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An integrated system ultrafiltration membrane-coagulation has been employed for removal of chemical oxygen demand (COD) and turbidity from baker's yeast effluents. Fouling in the membrane is a common problem; chemical coagulation has been used as a pre-treatment method to mitigate fouling. Poly aluminum chloride (PACl), aluminum sulfate and lime had been used as coagulants. The results indicated that PACl exhibited higher removal efficiency than other coagulants. Two-stage coagulation and combination of coagulants were also investigated. The removal efficiency of COD and turbidity were achieved 68% and 81% by two-stage coagulation by PACl-lime, respectively. The effects of operating conditions on the ultrafiltration process for two types of hollow fiber membranes polyvinylidene fluoride (PVDF) and polypropylene (PP) on permeate flow rate, turbidity and COD removal of wastewater were further investigated. The results showed that by increasing the feed pressure, flow rate and feed temperature the permeate flow rate increased and the removal efficiency decreased. Under optimum conditions, PVDF membrane showed higher performance but compromised the flux compared to PP membrane.

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Experimental and economic evaluation of nitrate removal by a nanofiltration membrane

Alavijeh

Sadeghi

Ghahremanfard

2023

Environ Sci Pollut Res

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Membrane nano ltration (NF) process was employed to remove nitrate from synthetic and natural waters. The optimum technical and economical ranges of governing parameters for the water treatment process were determined using Central Composite Design method and Verbernen's economic model. The results of nitrate removal from synthesized water showed the minimum and maximum rates of permeation were 16.5 and 84.3 L/m 2 h (Lmh), respectively. The minimum and maximum nitrate rejection were 44.1% and 78.4%, respectively. Increasing pH had no signi cant effect on permeation ux but increased the nitrate removal rate. In the case of natural water, the minimum and the maximum ow rate were 7.7 and 68.1 Lmh. Furthermore, the minimum and maximum rejection rates of nitrate were 22.1% and 74.8%. The effects of variables on the permeation ux and nitrate removal for natural water were similar to those for synthetic water. However, by increasing pH, the amount of water passing through the membrane decreased. In all experiments, natural water had less permeation ux and less nitrate rejection than synthesized water. Moreover, the total investment cost reduced as the pressure increased. The cost per m 3 of treated water decreased from 3 to 7 bars, then increased as the pressure increased.

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Application of response surface methodology (RSM) to optimize operating conditions during ultrafiltration of oil-in-water emulsion

Cited by 14 publications

References 19 publications

Optimizing the cross‐flow nanofiltration process for chromium (VI) removal from simulated wastewater through response surface methodology

Optimizing the cross‐flow nanofiltration process for chromium (VI) removal from simulated wastewater through response surface methodology

Integrated Ultrafiltration Membranes and Chemical Coagulation for Treatment of Baker’s Yeast Wastewater

Experimental and economic evaluation of nitrate removal by a nanofiltration membrane

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