scholarly journals Abrasion Behaviour of Wool-Viscose Hand Tufted Carpets using Response Surface Methodology

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Shravan Kumar Gupta ◽  
Anupam Agarwal ◽  
Anupam Kumar
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Design Of Experiment ◽  
Abrasion Resistance ◽  
Process Variables ◽  
Box Behnken Design ◽  
Abrasion Loss

The effect of viscose blend in pile yarn, pile height and pile density on abrasion resistance of hand tufted carpets has been studied. The interaction between the process variables has been analyzed by using response surface methodology based on the Box-Behnken design of experiment. Overall, higher percentage (%) of viscose in the blend, lower pile height and lower pile density yield the minimum abrasion loss for the hand tufted carpets.

scholarly journals Optimasi Adsorpsi Ion Mg2+ pada Fixed Bed Column dengan Menggunakan Response Surface Methodology

REAKTOR ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. 126
Author(s):  
Novi Sylvia ◽  
Meriatna Meriatna ◽  
Fikri Hasfita ◽  
Lukman Hakim
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Flow Rate ◽  
Adsorption Process ◽  
Fixed Bed ◽  
Operating Conditions ◽  
Optimum Operating ◽  
Process Variables ◽  
Fixed Bed Column ◽  
Box Behnken Design

Abstract OPTIMIZATION ADSORPTION OF Mg2+ ION ON FIXED BED COLUMN USING RESPONSE SURFACE METHODOLOGY. Modeling of the adsorption process is used to establish the mathematical relationship between the interacting process variables and process optimization. This is important to determine the factor values that produce a maximum response. Adsorption of Mg from groundwater was optimized using response surface methodology based on Box-Behnken design was used to analyze adsorption data. The process was investigated by continuous experiments. Variables included in the process were: bed depths (7.5, 10, and 12.5 cm), time (20, 40, and 60 min), and flow rate (6, 10, and 14 L/min). Regression analysis was used to analyze the developed models. The outcome of this research showed that 72.784% of the variability in removal efficiency is attributed to the three process variables considered, that is, bed depths, time, and flow rate. Optimization tests showed that the optimum operating conditions for the adsorption process occurred at a bed depth of 11.37 cm, time of 55.53 min and flow rate of 6 L/min. Keywords: adsorption; Box-Behnken design; magnesium (Mg2+); optimization  AbstrakPemodelan dari proses adsorpsi digunakan untuk menentukan hubungan matematis antara variabel proses interaksi dan proses optimasi. Hal ini penting untuk menentukan nilai faktor yang menghasilkan respon maksimum. Adsorpsi magnesium (Mg2+) dari air tanah dioptimalkan menggunakan metodologi respon permukaan model Desain Box-Behnken yang digunakan untuk menganalisis data adsorpsi. Percobaan dilakukan secara kontinyu. Variabel yang termasuk dalam proses tersebut adalah: tinggi unggun (7,5, 10 dan 12,5 cm), waktu kontak (20, 40, dan 60 menit), dan laju alir (6, 10, dan 14 L/menit). Analisis regresi digunakan untuk menganalisis model yang dikembangkan. Hasil penelitian menunjukkan bahwa 72,784% efisiensi penyisihan Mg2+ ditentukan oleh tiga variabel proses, yaitu tinggi unggun, waktu kontak, dan laju alir. Hasil optimasi menunjukkan bahwa kondisi operasi optimum untuk proses adsorpsi terjadi pada tinggi unggun 11,37 cm, waktu kontak 55,53 menit dan laju alir 6 L/menit. Kata kunci: adsorpsi; Box-Behnken desain; magnesium (Mg2+); optimasi

Optimisation of the Oil Extraction from Nigella sativa Seeds Using Response Surface Methodology

2017 ◽  
Vol 68 (2) ◽  
pp. 331-336
Author(s):  
Gabriela Isopencu ◽  
Mirela Marfa ◽  
Iuliana Jipa ◽  
Marta Stroescu ◽  
Anicuta Stoica Guzun ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Nigella Sativa ◽  
Polynomial Equation ◽  
Herbaceous Plant ◽  
Box Behnken Design ◽  
Pareto Analysis ◽  
Black Cumin ◽  
Mediterranean Countries ◽  
Experimental Values

Nigella sativa, also known as black cumin, an annual herbaceous plant growing especially in Mediterranean countries, has recently gained considerable interest not only for its use as spice and condiment but also for its healthy properties of the fixed and essential oil and its potential as a biofuel. Nigella sativa seeds fixed oil, due to its high content in linoleic acid followed by oleic and palmitic acid, could be beneficial to human health. The objective of this study is to determine the optimum conditions for the solvent extraction of Nigella sativa seeds fixed oil using a three-level, three-factor Box-Behnken design (BBD) under response surface methodology (RSM). The obtained experimental data, fitted by a second-order polynomial equation were analysed by Pareto analysis of variance (ANOVA). From a total of 10 coefficients of the statistical model only 5 are important. The obtained experimental values agreed with the predicted ones.

scholarly journals Optimizing Adsorption of 17α-Ethinylestradiol from Water by Magnetic MXene Using Response Surface Methodology and Adsorption Kinetics, Isotherm, and Thermodynamics Studies

Molecules ◽  
2021 ◽  
Vol 26 (11) ◽  
pp. 3150
Author(s):  
Mengwei Xu ◽  
Chao Huang ◽  
Jing Lu ◽  
Zihan Wu ◽  
Xianxin Zhu ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Quadratic Model ◽  
Adsorption Efficiency ◽  
Process Variables ◽  
Adsorption Time ◽  
Initial Concentration ◽  
Independent Variables ◽  
The Impact ◽  
Adsorbent Dose

Magnetic MXene composite Fe3O4@Ti3C2 was successfully prepared and employed as 17α-ethinylestradiol (EE2) adsorbent from water solution. The response surface methodology was employed to investigate the interactive effects of adsorption parameters (adsorption time, pH of the solution, initial concentration, and the adsorbent dose) and optimize these parameters for obtaining maximum adsorption efficiency of EE2. The significance of independent variables and their interactions were tested by the analysis of variance (ANOVA) and t-test statistics. Optimization of the process variables for maximum adsorption of EE2 by Fe3O4@Ti3C2 was performed using the quadratic model. The model predicted maximum adsorption of 97.08% under the optimum conditions of the independent variables (adsorption time 6.7 h, pH of the solution 6.4, initial EE2 concentration 0.98 mg L−1, and the adsorbent dose 88.9 mg L−1) was very close to the experimental value (95.34%). pH showed the highest level of significance with the percent contribution (63.86%) as compared to other factors. The interactive influences of pH and initial concentration on EE2 adsorption efficiency were significant (p < 0.05). The goodness of fit of the model was checked by the coefficient of determination (R2) between the experimental and predicted values of the response variable. The response surface methodology successfully reflects the impact of various factors and optimized the process variables for EE2 adsorption. The kinetic adsorption data for EE2 fitted well with a pseudo-second-order model, while the equilibrium data followed Langmuir isotherms. Thermodynamic analysis indicated that the adsorption was a spontaneous and endothermic process. Therefore, Fe3O4@Ti3C2 composite present the outstanding capacity to be employed in the remediation of EE2 contaminated wastewaters.

scholarly journals Optimization of Crude Oil and PAHs Degradation by Stenotrophomonas rhizophila KX082814 Strain through Response Surface Methodology Using Box-Behnken Design

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Praveen Kumar Siddalingappa Virupakshappa ◽  
Manjunatha Bukkambudhi Krishnaswamy ◽  
Gaurav Mishra ◽  
Mohammed Ameenuddin Mehkri
Keyword(s):  
Response Surface Methodology ◽  
Crude Oil ◽  
Response Surface ◽  
Oxygen Demand ◽  
Inoculum Size ◽  
Coefficient Of Determination ◽  
Oil Removal ◽  
Box Behnken Design ◽  
Stenotrophomonas Rhizophila ◽  
Crude Oil Removal

The present paper describes the process optimization study for crude oil degradation which is a continuation of our earlier work on hydrocarbon degradation study of the isolate Stenotrophomonas rhizophila (PM-1) with GenBank accession number KX082814. Response Surface Methodology with Box-Behnken Design was used to optimize the process wherein temperature, pH, salinity, and inoculum size (at three levels) were used as independent variables and Total Petroleum Hydrocarbon, Biological Oxygen Demand, and Chemical Oxygen Demand of crude oil and PAHs as dependent variables (response). The statistical analysis, via ANOVA, showed coefficient of determination R2 as 0.7678 with statistically significant P value 0.0163 fitting in second-order quadratic regression model for crude oil removal. The predicted optimum parameters, namely, temperature, pH, salinity, and inoculum size, were found to be 32.5°C, 9, 12.5, and 12.5 mL, respectively. At this optimum condition, the observed and predicted PAHs and crude oil removal were found to be 71.82% and 79.53% in validation experiments, respectively. The % TPH results correlate with GC/MS studies, BOD, COD, and TPC. The validation of numerical optimization was done through GC/MS studies and   % removal of crude oil.

Studies of kerf width and surface roughness using the response surface methodology in AA 4032–TiC composites

2021 ◽  
pp. 095440892110414
Author(s):  
TS Senthilkumar ◽  
R Muralikannan ◽  
T Ramkumar ◽  
S Senthil Kumar
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Metal Matrix ◽  
Electrical Discharge ◽  
Electrical Discharge Machining ◽  
Kerf Width ◽  
Wire Electrical Discharge Machining ◽  
Box Behnken Design ◽  
Pulse On Time

A substantially developed machining process, namely wire electrical discharge machining (WEDM), is used to machine complex shapes with high accuracy. This existent work investigates the optimization of the process parameters of wire electrical discharge machining, such as pulse on time ( Ton), peak current ( I), and gap voltage ( V), to analyze the output performance, such as kerf width and surface roughness, of AA 4032–TiC metal matrix composite using response surface methodology. The metal matrix composite was developed by handling the stir casting system. Response surface methodology is implemented through the Box–Behnken design to reduce experiments and design a mathematical model for the responses. The Box–Behnken design was conducted at a confident level of 99.5%, and a mathematical model was established for the responses, especially kerf width and surface roughness. Analysis of variance table was demarcated to check the cogency of the established model and determine the significant process. Surface roughness attains a maximum value at a high peak current value because high thermal energy was released, leading to poor surface finish. A validation test was directed between the predicted value and the actual value; however, the deviation is insignificant. Moreover, a confirmation test was handled for predicted and experimental values, and a minimal error was 2.3% and 2.12% for kerf width and surface roughness, respectively. Furthermore, the size of the crater, globules, microvoids, and microcracks were increased by amplifying the pulse on time.

Sign in / Sign up

Export Citation Format

Share Document