Parametric optimization of Cu (II) and Ni (II) adsorption onto coal dust and magnetized sawdust using box-behnken design of experiments

2016 ◽  
Vol 35 (6) ◽  
pp. 1597-1604 ◽  
Author(s):  
Meghna Kapur ◽  
Rishabh Gupta ◽  
Monoj Kumar Mondal
Keyword(s):  
Design Of Experiments ◽  
Parametric Optimization ◽  
Coal Dust ◽  
Box Behnken Design

Parametric optimization by Box–Behnken design for synthesis of magnetic chitosan-Benzil/ZnO/Fe3O4 nanocomposite and textile dye removal

2021 ◽  
pp. 105166 ◽  
Author(s):  
Abdallah Reghioua ◽  
Djamel Barkat ◽  
Ali H. Jawad ◽  
Ahmed Saud Abdulhameed ◽  
Abdullah A. Al-Kahtani ◽  
...  
Keyword(s):  
Parametric Optimization ◽  
Dye Removal ◽  
Textile Dye ◽  
Box Behnken Design ◽  
Magnetic Chitosan

scholarly journals Prediction and parametric optimization of surface roughness of electroless Ni-Co-P coating using Box-Behnken design

2019 ◽  
Vol 28 (1) ◽  
pp. 153-161 ◽  
Author(s):  
Subhasish Sarkar ◽  
Arghya Mukherjee ◽  
Rishav Kumar Baranwal ◽  
Jhumpa De ◽  
Chanchal Biswas ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Parametric Optimization ◽  
Bath Temperature ◽  
Sodium Hypophosphite ◽  
X Ray Diffraction ◽  
Box Behnken Design ◽  
X Ray ◽  
Xrd Study ◽  
Roughness Analysis ◽  
Electroless Ni

AbstractThe current study focuses on the parametric optimization of electroless Ni-Co-P coating considering surface roughness as a response using Box-Behnken Design (BBD) of experiment. The two bath parameters namely the concentration of cobalt sulphate and sodium hypophosphite were varied along with the bath temperature to predict the variation in surface roughness. Analysis of variance (ANOVA) method has been applied to determine the interactions of the substantial factors which dominate the surface roughness of the coating. The process parameters for surface roughness of the coating were optimized by successfully utilizing the statistical model of Box-Behnken Design (BBD) of experiment. From the BBD model, the optimum condition for the deposition of the coating has been evaluated. In that specific condition, the surface roughness of the as-deposited coating is found to be 0.913μm. Scanning Electron Microscopy (SEM), Energy Dispersive X-ray Spectroscopy (EDX), and X-Ray Diffraction (XRD) study have been utilized to characterize the electroless Ni-Co-P coating deposited in optimized condition.

Optimization of corona discharge process using Box–Behnken design of experiments

2012 ◽  
Vol 70 (6) ◽  
pp. 469-473 ◽  
Author(s):  
Dipayan Das ◽  
Rashmi Thakur ◽  
Arun Kumar Pradhan
Keyword(s):  
Design Of Experiments ◽  
Corona Discharge ◽  
Discharge Process ◽  
Box Behnken Design

scholarly journals Combined UV-C/H2O2/VUV processes for the treatment of actual slaughterhouse wastewater

2021 ◽  
Author(s):  
Kambiz Vaezzadeh Naderi
Keyword(s):  
Design Of Experiments ◽  
Irradiation Time ◽  
Response Surfaces ◽  
Operating Conditions ◽  
Combined Processes ◽  
Optimum Conditions ◽  
Box Behnken Design ◽  
Slaughterhouse Wastewater ◽  
Toc Removal ◽  
Uv C

In this study, a three-factor, three-level Box-Behnken design with response surface methodology and quadratic programming were used to maximize the total organic carbon (TOC) removal and minimize the H2O2 residual in the effluent of the combined UV-C/H2O2/VUV system for the treatment of actual slaughterhouse wastewater. The initial TOC concentration (TOCo), the initial concentration of H2O2, and the irradiation time were the three independent variables studied in the design of experiments. The multiple response approach was used to obtain desirability response surfaces at the optimum factor settings. Thus, the optimum conditions to achieve a maximum TOC removal of 46.19% and a minimum H2O2 residual of 1.05% were TOCo of 213 mg/L, H2O2,o of 450 mg/L, and irradiation time of 9 min. The obtained optimal operating conditions were validated with an additional test. Consequently, maximum TOC removal of 45.68% and minimum H2O2 residual of 1.03% were obtained experimentally, confirming the reliability of the statistical model. Keywords: Slaughterhouse Wastewater; Wastewater Treatment; UV-C/H2O2/VUV, Combined Processes; Design of Experiments; Optimization.

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