scholarly journals Effect of ion exchange dialysis process variables on aluminium permeation using response surface methodology

2019 ◽  
Vol 25 (5) ◽  
pp. 714-721
Author(s):  
Dennis Asante-Sackey ◽  
Sudesh Rathilal ◽  
V.L Pillay ◽  
Emmanuel Kweinor Tetteh
Keyword(s):  
Response Surface Methodology ◽  
Ion Exchange ◽  
Response Surface ◽  
Flow Rate ◽  
Statistical Experimental Design ◽  
Feed Concentration ◽  
Counter Flow ◽  
Face Centered ◽  
Rsm Model ◽  
Central Composite

This study investigated aluminum permeation using a counter flow ion exchange dialysis (IED) system. The optimum conditions for permeation were investigated using response surface methodology (RSM). Effect of four factors- feed concentration (100-2,000 ppm, A), feed flow rate (25-85%, B), sweep concentration (0.25-1 N HCl, C) and sweep flow rate (25-85%, D) were studied using face centered central composite (FC-CCD) statistical experimental design. A RSM model was developed based on the experimental permeation data and the response plot was developed. The FC-CCD model predicted permeation correlated with the experimental data. The regression coefficient (R<sup>2</sup>) was found to be 0.9568. The experiment showed the ascending order of the effect of the variables is D < B < C < A. In a counter flow IED for Al permeation, the sweep flow rate is insignificant (p > 0.05). Experimental validation demonstrated for target permeation of 70% was 68.8% ± 2.22%. This suggested that the RSM was a suitable tool in optimizing Al-permeation.

scholarly journals Ion Exchange Dialysis for Aluminium Transport through a Face-Centred Central Composite Design Approach

Processes ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 160 ◽  
Author(s):  
Dennis Asante-Sackey ◽  
Sudesh Rathilal ◽  
Lingham V. Pillay ◽  
Emmanuel Kweinor Tetteh
Keyword(s):  
Ion Exchange ◽  
Central Composite Design ◽  
Desirability Function ◽  
Target Response ◽  
Time Zone ◽  
Feed Concentration ◽  
Counter Flow ◽  
The Face ◽  
Desirability Approach ◽  
Central Composite

An ion exchange dialysis (IED) is used in the recovery of aluminium from residue. In this paper, the face-centred central composite design (FC-CCD) of the response surface methodology (RSM) and desirability approach is used for experimental design, modelling and process optimization of a counter flow IED system. The feed concentration, feed flowrate, sweep flowrate and sweep concentration were selected as the process variables, with the Al transport across a Nafion 117 membrane as the target response. A total of 30 experimental runs were conducted with six centre points. The response obtained was analysed by analysis of variance (ANOVA) and fitted to a second-order polynomial model using multiple regression analysis. The actual R2 and standard deviation of the model are 0.9548 and 0.2932, respectively. Depending on the time zone of reference (24 h or 32 h), the highest enrichment of >1.50 was achieved. The designed variables were numerically optimized by applying the desirability function to achieve the maximum Al transport. The optimised condition values were found to be a feed concentration of 1600 ppm, feed flowrate of 61.76%, sweep flowrate of 37.50% and sweep concentration of 0.75 N for the 80% target response at 32 h. Overall, the model can be used to effectively predict Al recovery using the designed system.

scholarly journals Analysis of boride layer thickness of borided AISI 430 by response surface methodology

2019 ◽  
Vol 9 (3) ◽  
pp. 39-44
Author(s):  
Turker Turkoglu ◽  
Irfan Ay
Keyword(s):  
Mathematical Model ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Layer Thickness ◽  
Boride Layer ◽  
Layer Formation ◽  
Face Centered ◽  
Boriding Process ◽  
Aisi 430 ◽  
Central Composite

The boriding process is a thermochemical surface treatment which can be applied to many iron and non-ferrous materials and improves the properties of the material such as hardness, wear resistance. In the present study, the layer thickness values of the boronized AISI 430 material were optimized using the Response Surface Methodology. Mathematical model was constructed using parameters such as temperature and time and the results were analyzed comparatively. As a result of the analysis, the optimum layer thickness value for AISI 430 material was obtained as 39.0183 µm for 1000 ºC and 5.9h and it was determined that the boriding temperature and time are effective on the boride layer formation process of AISI 430 material. Finally, the Response Surface Methodology and Face Centered Central Composite Design have been effectively applied to the boriding process.

scholarly journals Optimasi Selulase pada Enzyme Assisted Extraction Lemak dari Caulerpa Lentillifera Menggunakan Response Surface Methodology

2021 ◽  
Vol 13 (1) ◽  
pp. 19-37
Author(s):  
Ishmah Hanifah
Keyword(s):  
Response Surface Methodology ◽  
Central Composite Design ◽  
Response Surface ◽  
Assisted Extraction ◽  
Caulerpa Lentillifera ◽  
Rsm Model ◽  
Central Composite ◽  
Enzyme Assisted Extraction

Penelitian dirancang untuk mengetahui kondisi optimum proses enzyme assisted extraction lemak rumput laut hijau segar Caulerpa lentillifera dengan menggunakan enzim selulase. Proses optimasi dilakukan menggunakan Response Surface Methodology (RSM) model Central Composite Design dengan 15 perlakuan. Perlakuan yang didapatkan untuk mengetahui pengaruh variabel bebas diantaranya konsentrasi enzim, suhu hidrolisis, dan waktu hidrolisis terhadap respon yaitu jumlah ekstrak lemak dan aktivitas antioksidan. Dari hasil penelitian didapatkan model 2FI dan Linier berturut-turut untuk respon jumlah lemak dan aktivitas antioksidan. Kondisi optimum yang diperoleh yaitu konsentrasi enzim sebesar 2%, suhu hidrolisis sebesar 30 °C, dan waktu hidrolisis selama 1 jam. Kondisi optimum tersebut kemudian dapat diverifikasi dengan melakukan perlakuan terpilih sebanyak 2 kali ulangan atau lebih hingga mendekati hasil prediksi. Asam lemak yang diperoleh setelah metilasi dan identifikasi dengan GC-MS yaitu asam palmitat dan asam laurat. 

Response surface methodology for predicting the dimethylphenol removal from wastewater via reverse osmosis process

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Mudhar Al-Obaidi ◽  
Basman Al-Nedawe ◽  
Abdulrahman Mohammad ◽  
Iqbal Mujtaba
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Reverse Osmosis ◽  
Flow Rate ◽  
Negative Influence ◽  
Positive Influence ◽  
Inlet Pressure ◽  
Inlet Temperature ◽  
Feed Flow Rate ◽  
Rsm Model

AbstractReverse Osmosis (RO) process can be considered as one of the intensively used pioneering equipment for reusing wastewater of several applications. The recent study presented the development of an accurate model for predicting the dimethylphenol removal from wastewater via RO process. The Response Surface Methodology (RSM) was applied to carry out this challenge based on actual experimental data collected from the literature. The independent variables considered are the inlet pressure (5.83–13.58) atm, inlet temperature (29.5–32) ° C, inlet feed flow rate (2.166–2.583) × 10–4 m3/s, and inlet concentration (0.854–8.049) × 10-3 kmol/m3 and the dimethylphenol removal is considered as the response variable. The analysis of variance showed that the inlet temperature and feed flow rate have a negative influence on dimethylphenol removal from wastewater while the inlet pressure and concentration show a positive influence. In this regard, F-value of 240.38 indicates a considerable contribution of the predicted variables of pressure and concentration against the process dimethylphenol rejection. Also, the predicted R2 value of 0.9772 shows the high accuracy of the model. An overall assessment of simulating the performance of RO process against the operating parameters has been systematically demonstrated using the proposed RSM model.

scholarly journals Alternative Second-Order N-Point Spherical Response Surface Methodology Design and Their Efficiencies

2016 ◽  
Vol 5 (4) ◽  
pp. 22
Author(s):  
Mary Paschal Iwundu
Keyword(s):  
Response Surface Methodology ◽  
Central Composite Design ◽  
Response Surface ◽  
Second Order ◽  
The Face ◽  
Central Composite Designs ◽  
Face Centered ◽  
Composite Designs ◽  
Central Composite ◽  
Exact Designs

The equiradial designs are studied as alternative second-order N-point spherical Response Surface Methodology designs in two variables, for design radius ρ = 1.0. These designs are seen comparable with the standard second-order response surface methodology designs, namely the Central Composite Designs. The D-efficiencies of the equiradial designs are evaluated with respect to the spherical Central Composite Designs. Furthermore, D-efficiencies of the equiradial designs are evaluated with respect to the D-optimal exact designs defined on the design regions of the Circumscribed Central Composite Design, the Inscribed Central Composite Design and the Face-centered Central Composite Design. The D-efficiency values reveal that the alternative second-order N-point spherical equiradial designs are better than the Inscribed Central Composite Design though inferior to the Circumscribed Central Composite Design with efficiency values less than 50% in all cases studied. Also, D-efficiency values reveal that the alternative second-order N-point spherical equiradial designs are better than the N-point D-optimal exact designs defined on the design region supported by the design points of the Inscribed Central Composite Design. However, the N-point spherical equiradial designs are inferior to the N-point D-optimal exact designs defined on the design region supported by the design points of the Circumscribed Central Composite Design and those of the Face-centered Central Composite Design, with worse cases with respect to the design region of the Circumscribed Central Composite Design.

Combined Steam-Carbon Dioxide Reforming of Methane: Modeling Using Response Surface Methodology (RSM)

2020 ◽  
Vol 20 (9) ◽  
pp. 5720-5724
Author(s):  
Cho Hwe Kim ◽  
Young Chul Kim
Keyword(s):  
Carbon Dioxide ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Coefficient Of Determination ◽  
Feed Ratio ◽  
Carbon Dioxide Conversion ◽  
Carbon Dioxide Reforming ◽  
Rsm Model ◽  
Central Composite ◽  
Good Agreement

In this paper, combined steam-carbon dioxide reforming of methane (CSDRM) on a nickel-based catalyst is investigated by using response surface methodology (RSM). Models were developed based on central composite design (CCD), conducted on methane, carbon dioxide conversion, and H2/CO ratio with feed ratio, flow rate, and temperature. In Analysis of variance analysis (ANOVA), good agreement was shown between predicted data from RSM model and experimental data as well. This indicated, high adjusted R2 (R square, coefficient of determination), F-value over 0.75, and p-value less than 0.05. CH4 and CO2 conversion were considerably improved at higher reaction temperature, because of the endothermic nature of the CSDRM. Also, H2/CO ratio was affected by feed ratio. The minutiae of development of the model, testing, etc. is presented in this study.

scholarly journals Chemometric Access for RP-HPLC Simultaneous Estimation of Tadalafil and Dapoxetine Applying Response Surface Methodology

2021 ◽  
pp. 278-288
Author(s):  
S. Jayaseelan ◽  
N. Kannappan ◽  
V. Ganesan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Flow Rate ◽  
Phosphate Buffer ◽  
Desirability Function ◽  
Hplc Method ◽  
Simultaneous Estimation ◽  
Statistical Experimental Design ◽  
Good Resolution ◽  
Rp Hplc

Aims: A RP-HPLC method was developed and validated for simultaneous estimation of Tadalafil and Dapoxetine applying statistical experimental design. Methodology: Multivariate optimization of the experimental conditions of RP-HPLC method was using Design of experiments. Independent three factors like phosphate buffer pH, mobile phase composition and flow rate were applied to design mathematical models. To study the response surface methodology by using Central composite design (CCD). In depth the effects of these independent factors was studied using CCD. Simultaneously optimize the retention time and resolution of the analytes was applying Desirability function. Results: The predicted and optimized data from contour picture containing phosphate buffer (pH 3.4) and acetonitrile in the ratio of 40:60%v/v respectively. Flow rate was found to be 0.8 ml/min. Baseline separation of both analytes with run time of less than 10.0 min and good resolution were achieved using these optimum conditions. Conclusion: Method was validated according to ICH guidelines by using optimized assay conditions. Therefore, the reports distinctly indicated that Quality by design access could be satisfactorily used to optimize RP-HPLC method for simultaneous estimation of Tadalafil and Dapoxetine.

scholarly journals Ion Exchange Dialysis for Aluminium Transport through a Face Centered Central Composite Design Approach

2019 ◽  
Author(s):  
Dennis Asante-Sackey ◽  
Sudeh Rathilal ◽  
Lingham V. Pillay ◽  
Emmanuel Kweinor Tetteh
Keyword(s):  
Ion Exchange ◽  
Central Composite Design ◽  
Desirability Function ◽  
Target Response ◽  
Feed Concentration ◽  
The Face ◽  
Contour Plots ◽  
Desirability Approach ◽  
Face Centered ◽  
Central Composite

An ion exchange dialysis (IED) is used in the recovery of aluminium from residue. In this papers, the face-centered central composite design (FC-CCD) of the response surface methodology (RSM) and desirability approach is used for experimental design, modelling and process optimization of a counter flow IED system. The feed concentration, feed flowrate, sweep flowrate and sweep concentration are selected as the process variables, with the Al-transport across a Nafion 117 membrane as the target response. A total of 30 experimental runs were conducted with 6 center points. The response obtained was analysed by analysis of variance (ANOVA) and fitted to a second-order polynomial model using multiple regression analysis. The actual R2 and standard deviation of the model are 0.9548 and 0.2932 respectively. The influences of significant variables are plotted on 3D surface and contour plots. The designed variables were numerically optimized by applying the desirability function to achieve the maximum Al-transport. The optimised condition values were found to be feed concentration (1600 ppm), feed flowrate (61.76%), sweep flowrate (37.50%) and sweep concentration (0.75 N) for the 80% target response at 32hrs. Overall, the model can be used to effectively predict Al-recovery using the designed system

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