scholarly journals Process Parameters Optimization of Gallic Acid Removal from Water by MIEX Resin Based on Response Surface Methodology

Processes ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 273 ◽  
Author(s):  
Qiang Zhou ◽  
Lei Ding ◽  
Yunhua Zhu ◽  
Meiying Zhong ◽  
Chuchu Yang
Keyword(s):  
Response Surface Methodology ◽  
Gallic Acid ◽  
Response Surface ◽  
Acid Concentration ◽  
Process Parameters ◽  
Regression Equation ◽  
Parameters Optimization ◽  
Solution Ph ◽  
Adsorption Time ◽  
Technical Parameters

In this work, the response surface methodology was used to optimize the process parameters of gallic acid adsorption on magnetic ion exchange (MIEX) resin. Based on Box-Behnken Design, a quadratic polynomial model equation including solution pH, gallic acid concentration, MIEX resin dosage and adsorption time was established. The reliability of the established regression equation was tested by variance analysis. Based on the regression equation, the technical parameters for gallic acid adsorption on MIEX resin were optimized and the effects of interaction between variables on the removal of gallic acid were analyzed. The results showed that the established regression equation was reliable and could effectively predict the removal of gallic acid. The optimal technical parameters were determined to be a pH of 9.17, a gallic acid concentration of 8.07 mg/L, a resin dosage of 0.98 mL/L and an adsorption time of 46.43 min. The removal efficiency of gallic acid was 97.93% under the optimal parameters. The interaction between pH and adsorption time had the most significant effect on the removal of gallic acid. The results of this study demonstrated that MIEX resin can remove gallic acid efficiently and relatively quickly under the condition of optimal technical parameters.

scholarly journals Removal of Nickel Ions from Aqueous Solutions by 2-Hydroxyethyl Acrylate/Itaconic Acid Hydrogels Optimized with Response Surface Methodology

Gels ◽  
2021 ◽  
Vol 7 (4) ◽  
pp. 225
Author(s):  
Katarina Antić ◽  
Antonije Onjia ◽  
Dana Vasiljević-Radović ◽  
Zlate Veličković ◽  
Simonida Lj. Tomić
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Itaconic Acid ◽  
Water Solution ◽  
Isotherm Models ◽  
Order Kinetic ◽  
Solution Ph ◽  
Nickel Ions ◽  
Adsorption Time ◽  
Before And After

The adsorption of Ni2+ ions from water solutions by using hydrogels based on 2-hydroxyethyl acrylate (HEA) and itaconic acid (IA) was studied. Hydrogel synthesis was optimized with response surface methodology (RSM). The hydrogel with the best adsorption capacity towards Ni2+ ions was chosen for further experiments. The hydrogel was characterized by Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM) and atomic force microscopy (AFM) analysis before and after the adsorption of Ni2+ ions. Batch equilibrium experiments were conducted to investigate the influence of solution pH, hydrogel weight, ionic strength, adsorption time, temperature and initial concentration of nickel ions on the adsorption. Time-dependent adsorption fitted the best to the pseudo-second-order kinetic model. A thermodynamic study revealed that the adsorption was an exothermic and non-spontaneous process. Five isotherm models were studied, and the best fit was obtained with the Redlich–Peterson model. Consecutive adsorption/desorption studies indicated that the HEA/IA hydrogel can be efficiently used as a sorbent for the removal of Ni2+ ions from the water solution. This study develops a potential adsorbent for the effective removal of trace nickel ions.

Process Parameters Optimization for Thin-walled Tube Push-bending Using Response Surface Methodology

2021 ◽  
Author(s):  
Wenlong Xie ◽  
Weihao Jiang ◽  
Yunfeng Wu ◽  
Hongwu Song ◽  
Siying Deng ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Friction Coefficient ◽  
Response Surface ◽  
Process Parameters ◽  
Relative Length ◽  
Response Surfaces ◽  
Parameters Optimization ◽  
Process Window ◽  
Thin Walled Tube ◽  
Thin Walled

Abstract In this paper, the response surface methodology (RSM) and finite element (FE) simulation were applied to optimize the push-bending process parameters of the thin-walled tube with polyurethane mandrel. The objective of the present work is to predict the optimal set of process parameters including the relative length of the mandrel (L/D), the friction coefficient between die and tube (μ1), the friction coefficient between polyurethane and tube (μ2) and Poisson’s ratio of polyurethane (υ) to obtain qualified bent tubes. Three empirical models were developed to describe the relationship between process parameters and quality parameters of the bent tubes. In addition, the significant factors affecting the forming quality were analyzed using analysis of variance (ANOVA) of each model. Response surfaces were constructed to study the effect of each process parameter on the quality of the bent tubes. Finally, the process optimization window with the maximum thinning rate (ϑ) less than 20%, the maximum thickening rate (ψ) less than 17%, and the maximum cross-section ovality (ξ) less than 5% of the bent tube was established. Qualified bent tubes with diameter of 144 mm, wall thickness of 2 mm, and bending radius of 280 mm were formed experimentally by following the established process window.

Weld Profile Prediction and Process Parameters Optimization of T-joints of Laser Full Penetration Welding via Response Surface Methodology

2015 ◽  
Vol 42 (2) ◽  
pp. 0203006
Author(s):  
褚振涛 Chu Zhentao ◽  
于治水 Yu Zhishui ◽  
张培磊 Zhang Peilei ◽  
卢庆华 Lu Qinghua ◽  
李绍伟 Li Shaowei ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Parameters Optimization ◽  
Process Parameters Optimization ◽  
T Joints ◽  
Full Penetration ◽  
Weld Profile
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