Factorial experimental design for treatment of an industrial wastewater using micellar-enhanced ultrafiltration

Namaghi, Hamed Azizi; Mousavi, Seyed Mahmoud

doi:10.1080/19443994.2015.1007086

Cited by 9 publications

(5 citation statements)

References 17 publications

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“…8. As can be observed, the predicted values were in reasonable agreement with the experimental data, further confirming the high predictive power of the model in the range of experimental values considered for the factors [79].…”

Section: Effect Of Input Variables On Spf and Sresupporting

confidence: 82%

“…Regarding these tables, the model Fvalues for the SPF and SRE were 111.37 and 312.31, respectively. These values indicate that the models are statistically significant, and there is only less than 0.01% chance that these levels-of-fi t can occur due to random chance and noise [50,79,80]. P-values less than 0.05 indicate that the model terms are significant.…”

Section: Analysis Of Variancementioning

confidence: 99%

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Ultra-desulfurization of sulfur recovery unit wastewater using thin film nanocomposite membrane

Namaghi

Chenar

Asl

et al. 2019

Separation and Purification Technology

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Herein, to meet the requirement of the stringent sulfur emission and discharge rate standards based on World Health Organization (WHO) and Environmental Protection Agency (EPA), polyamide/titanium dioxide (PA/TiO 2 ) thin fi lm nanocomposite (TFN) membranes were synthesized to remove sulfur compound from sulfur recovery unit (SRU) wastewater. The experiments were designed to appraise the effects of three independent factors including TiO 2 nanoparticle concentration, transmembrane pressure (TMP), and operating temperature on membrane performance. Surface physiochemical and morphological properties of the resultant membranes were characterized with analytical techniques. The membrane characterizations revealed that the nanocomposite selective layer was formed on the surface of the substrate and its morphology and surface charge were affected by TiO 2 loading. The performance test showed that TFN membrane was highly effective in sulfur removal as the minimum and maximum rejections with this type of membrane in the design space were 92.56% and 99.94%, respectively. In addition, the responses were predicted by the model equations designed via response surface methodology (RSM). Accordingly, the main effects and their interactions were statistically validated by the analysis of variance

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Section: Effect Of Input Variables On Spf and Sresupporting

confidence: 82%

Section: Analysis Of Variancementioning

confidence: 99%

Ultra-desulfurization of sulfur recovery unit wastewater using thin film nanocomposite membrane

Namaghi

Chenar

Asl

et al. 2019

Separation and Purification Technology

Self Cite

View full text Add to dashboard Cite

show abstract

“…The deficiency of this statistic parameter is that it always increases with the addition of the new variables in the process, without considering the fact that the added variables are statistically significant or not (Azizi Namaghi et al, 2015). To overcome this problem, the adjusted R 2 is used in order to evaluate the model performance, since it is regulated based on the model size, that is, the number of factors (Azizi Namaghi et al, 2015; Azizi Namaghi & Mousavi, 2016). According to Table 5, R 2 and adjusted‐ R 2 values for the models are close to each other and have no significant difference, indicating that in significant terms have not been included in the model.…”

Section: Resultsmentioning

confidence: 99%

Water consumption optimization in cardboard industry by experimental design

Harif

Aboulhassan

Bammou

2022

Water & Environment J

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This work was performed into a cardboard plant in order to reduce the freshwater consumption. Statistical experimental design was applied to investigate the effect of cleaning program, ink colour class and detergent concentration on ink circuit cleaning operation of flexographic printing machines. The results indicated that the proposed models fitted well with residual ink removal and cleaning water consumption (R2 > 0.99). For a better residual ink removal of the first colour class, it is suitable to employ cleaning program number 1 with 2% of detergent. However, if a residual ink of second colour class has to be removed, cleaning program number 2 and 2% of detergent are appropriate. At the optimum conditions, the volume of water required for residual ink removal from flexographic machines can be reduced by up to 26%. These results can contribute to the development of water consumption reduction models in cardboard plants and clean production implementation.

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“…Adept Precision (AP) represents the ratio of the difference between the maximum and minimum and predicted values to the average standard deviation of all predicted values. It serves as a measure of the signal−to−noise ratio, and an AP value higher than four is considered desirable [45]. In this investigation, the AP values are 7.773 and 10, respectively, indicating an adequate signal level.…”

Section: Parameter Optimization Of the Starch Compositesmentioning

confidence: 86%

Enhancing Starch−Based Packaging Materials: Optimization of Plasticizers and Process Parameters

Wu,

Tang,

Guo

et al. 2023

Materials

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In order to actively promote green production and address these concerns, there is an urgent need for new packaging materials to replace traditional plastic products. Starch−based packaging materials, composed of starch, fiber, and plasticizers, offer a degradable and environmentally friendly alternative. However, there are challenges related to the high crystallinity and poor compatibility between thermoplastic starch and fibers, resulting in decreased mechanical properties. To address these challenges, a novel approach combining plasticizer optimization and response surface method (RSM) optimization has been proposed to enhance the mechanical properties of starch−based packaging materials. This method leverages the advantages of composite plasticizers and process parameters. Scanning electron microscopy and X-ray crystallography results demonstrate that the composite plasticizer effectively disrupts the hydrogen bonding and granule morphology of starch, leading to a significant reduction in crystallinity. Fourier transform infrared spectroscopy results show that an addition of glycerol and D−fructose to the starch can form new hydrogen bonds between them, resulting in an enhanced plasticizing effect. The optimal process parameters are determined using the RSM, resulting in a forming temperature of 198 °C, a forming time of 5.4 min, and an AC content of 0.84 g. Compared with the non−optimized values, the tensile strength increases by 12.2% and the rebound rate increases by 8.1%.

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Factorial experimental design for treatment of an industrial wastewater using micellar-enhanced ultrafiltration

Cited by 9 publications

References 17 publications

Ultra-desulfurization of sulfur recovery unit wastewater using thin film nanocomposite membrane

Ultra-desulfurization of sulfur recovery unit wastewater using thin film nanocomposite membrane

Water consumption optimization in cardboard industry by experimental design

Enhancing Starch−Based Packaging Materials: Optimization of Plasticizers and Process Parameters

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