scholarly journals An Approach Towards Optimization Appraisal of Thermal Conductivity of Magnetic Thermoplastic Elastomeric Nanocomposites Using Response Surface Methodology

Polymers ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2030
Author(s):  
Moayad Husein Flaifel
Keyword(s):  
Thermal Conductivity ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Quadratic Model ◽  
P Value ◽  
A Value ◽  
Face Centered ◽  
Thermoplastic Natural Rubber ◽  
Optimal Set ◽  
Central Composite

This study investigates the optimization of thermal conductivity of nickel zinc ferrite incorporated thermoplastic natural rubber nanocomposites using response surface methodology (RSM). The experimental runs were based on face-centered central composite design (FCCD) where three levels were designated for both temperature and magnetic filler content. The analysis of variance (ANOVA) results showed that the implemented technique is significant with an F-value of 35.7 and a p-value of <0.0001. Moreover, the statistical inference drawn from the quadratic model suggests a saddle response behavior the thermal conductivity took when both factors were correlated. The factors’ optimal set confined within the practical range led to a thermal conductivity of 1.05 W/m·K, a value which is believed to be associated with an optimal percolated network that served as efficacious thermal pathways in the fabricated nanocomposites. These results are believed to contribute to the potential employability of magnetic polymer nanocomposites (MPNCs) in electronic packaging applications.

scholarly journals Optimization of Lignin Extraction Variables by Response Surface Methodology from Pine Saw Dust, and Quantification of Major Structural Units in Isolated Lignin Fraction

2021 ◽  
Vol 11 (4) ◽  
pp. 1739
Author(s):  
Muhammad Ajaz Ahmed ◽  
Jae Hoon Lee ◽  
Joon Weon Choi
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Quantum Coherence ◽  
Resonance Spectrum ◽  
Quadratic Model ◽  
Molecular Weights ◽  
Solids Loading ◽  
A Value ◽  
Lignin Extraction ◽  
Lignin Fraction

A synergistic combination of dioxane, acetic acid, and HCl was investigated for lignin extraction from pine wood biomass. After initial screening of reagent combination, response surface methodology (RSM) was used to optimize the lignin yield with respect to the variables of time 24–72 h, solids loading 5–15%, and catalyst dose 5–15 mL. A quadratic model predicted 8.33% of the lignin yield, and it was further confirmed experimentally and through the analysis of variance (ANOVA). Lignin at optimum combination exhibited features in terms of derivatization followed by reductive cleavage (DFRC) with a value of (305 µmol/gm), average molecular weights of 4358 and polydispersity of 1.65, and 2D heteronuclear single quantum coherence nuclear magnetic resonance spectrum (2D-HSQC NMR) analysis showing relative β-O-4 linkages (37.80%). From here it can be suggested that this fractionation can be one option for high quality lignin extraction from lignocellulosic biomass.

scholarly journals Application of Response Surface Methodology for the Optimization of Essential Oils from Pomelo [Citrus grandis (L.) Osbeck] Leaves using Microwave-Assisted Hydrodistillation Method

2019 ◽  
Vol 31 (8) ◽  
pp. 1639-1642 ◽  
Author(s):  
TAN PHAT DAO ◽  
THIEN HIEN TRAN ◽  
Duy Trinh Nguyen ◽  
Duy Chinh Nguyen ◽  
Dai Hai Nguyen ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Essential Oil ◽  
Essential Oils ◽  
Response Surface ◽  
Favourable Outcome ◽  
Quadratic Model ◽  
P Value ◽  
Microwave Assisted ◽  
New Methods ◽  
Essential Oil Yield

Pomelo leaves oil has many applications regarding hair nourishment and stimulation. Recently, new methods of extracting essential oil used have been increasingly developed to replace traditional methods. In this research, maximization of essential oils yield from Citrus grandis was studied by the combination of microwave assisted hydro-distillation (MAHD) and response surface methodology (RSM). We found that the maximum essential oil yield was 0.3197 % with 91.3 % desirability corresponding to factors such as material and water ratiosof 3.04:1, extraction time at 62.76 min and microwave power of 482.17 W. ANOVA analysis for quadratic model also gives favourable outcome including the high determination coefficient (R2 = 0.9443), significant F-value and p-value of coefficients. All these values indicate that this model is significant between experimental and predicted variables.

Development of compressed meat based bar using response surface methodology

2017 ◽  
Vol 2 (2) ◽  
pp. 226
Author(s):  
K. Jayathilakan ◽  
Rajkumar Ahirwar ◽  
Khudsia Sultana ◽  
M. C. Pandey
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Applied Pressure ◽  
Quadratic Model ◽  
Central Composite Rotatable Design ◽  
Protein Percentage ◽  
Overall Acceptability ◽  
Protein Levels ◽  
Hedonic Scale ◽  
Central Composite

<p>Studies were carried out to optimize the percentage of ingredients for the development of ready to eat mutton bar. Central composite rotatable design of response surface methodology (RSM) was used for designing the experimental combinations. Matrix for compression was designed by selecting factors like mutton powder, binders and applied pressure. Protein percentage, hardness and over all acceptability (OAA) were taken as responses. OAA and hardness showed highly significant and fitted with quadratic model whereas other response i.e. protein levels found to be significant and fitted with linear model. From the design of experiments 45g/100g of mutton powder with 5g/100g binders having an applied pressure of 142 kg/cm<sup>2</sup> yielded a bar having a protein percentage of 35g/100g with a hardness of 20.9 N with an overall acceptability score of 8.6 ±0.2 on a 9 point hedonic scale. The product gives energy of 393 kcal per 100 g.</p>

scholarly journals Application of Electrocoagulation for the Removal of Color from Institutional Wastewater: Analysis with Response Surface Methodology

2021 ◽  
Vol 9 (2) ◽  
pp. 470-479
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Response Surface ◽  
The Other ◽  
Quadratic Model ◽  
Operational Parameters ◽  
Electrode Combination ◽  
Electrocoagulation Process ◽  
Percentage Removal ◽  
Central Composite

The removal percentage of color from institutional wastewater was studied using an electrocoagulation process with different electrode combination at the anode and cathode. This was done by considering operational parameters such as pH at (3, 6 and 9), current at (0.03A, 0.06A and 0.09A) and reaction time at (20, 40 and 60 minutes). When electrode combined in the form of Al-Al (anode-Cathode/Cathode-Anode) and Fe-Fe (anode-Cathode/Cathode-Anode) the percentage removal of color was up to 95.50% and 97.24% respectively. On the other hand around 98.03% and 91.95% of color was removed when Al-Fe (Anode-Cathode) and Fe-Al (Anode-Cathode) combined at pH 9 and 60 minutes of reaction time respectively. Central composite design from response surface methodology was used up to analysis the statistical and mathematical data based on experimental results such as the model was significant for all electrode combinations. Similarly a quadratic model was used for further study of operational effects on the removal (%) of color from institutional wastewater. The value of coefficient of the determination (R2) also indicated the model was a good fit as well as optimization was done by Response Surface Methodology.

scholarly journals Application of the response surface methodology for the evaluation of Staphylococcus aureus inhibition with Ag/TiO2 nanoparticles

2021 ◽  
Author(s):  
M.A. Olivares-Ramírez ◽  
Leticia López-Zamora ◽  
M.J. Peña-Juárez ◽  
E.J. Gutiérrez-Castañeda ◽  
J.A. Gonzalez-Calderon
Keyword(s):  
Staphylococcus Aureus ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Statistical Significance ◽  
Antimicrobial Effect ◽  
Quadratic Model ◽  
Coefficient Of Determination ◽  
Poly Lactic Acid ◽  
P Value ◽  
Zone Of Inhibition

Abstract The present work shows the implementation of the Response Surface Methodology (RSM), fed by an experimental Central Composite Design (CCD) to find the conditions that allow maximizing the inhibition of the microorganism Staphylococcus aureus with nanoparticles of TiO2 silanized with 3-Aminopropyltriethoxysilane (APTES) and doped with Ag. In addition, Poly(lactic) acid composites were prepared with these Ag/TiO2 nanoparticles with the aim to confer their antimicrobial effect. The independent variables considered were pH, AgNO3/TiO2 ratio (% w/w), and TiO2 nanoparticles concentration (g/250 mL), and as the variable of response, the length of the diameter of the halo or zone of inhibition presented by the microorganism (mm). Statistical analysis found that maximization of S. aureus inhibition occurs at intermediate levels with a value of 10 for pH and 5 g of TiO2 solids, while for the concentration of AgNO3 high levels are required, greater than 10% w/w. Likewise, the statistical significance was determined using the Student's t-test and the p-value; it was found that the significant effect corresponds to the concentration of AgNO3, so a second experimental CCD design equirradial with two factors was considered, estimating AgNO3 concentration and TiO2 amount, the pH at constant 10 value. The second experimental design indicated that maximization in S. aureus inhibition occurs at an AgNO3 concentration between 20-25% w/w with high amounts of TiO2 solids (7-8 g), with a resulting zone of inhibition between 26-28 mm. The quadratic model obtained, which represents the relationship between the length of the zone of inhibition with the variables considered, shows an adjustment of experimental data with a coefficient of determination (R2) of 0.82.

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 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.

scholarly journals Optimization of fermentation conditions for producing Indian rock bee (Apis dorsata) mead using response surface methodology

2014 ◽  
Vol 6 (2) ◽  
pp. 366-370 ◽  
Author(s):  
N. Srimeena ◽  
S. Gunasekaran ◽  
R. Murugesan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Ethanol Yield ◽  
Soluble Solids ◽  
P Value ◽  
Yeast Saccharomyces Cerevisiae ◽  
Fermentation Time ◽  
Fermentation Parameters ◽  
Optimization Of Fermentation ◽  
Central Composite

Mead is a traditional drink which results from the alcoholic fermentation of diluted honey carried out by yeast (Saccharomyces cerevisiae KF233529). The present investigation was carried out for the optimization of fermentation parameters for maximizing the yield of ethanol. Response Surface Methodology (RSM) based central composite design was employed to obtain best combination of temperature, fermentation time and total soluble solids (TSS). The optimum conditions for ethanol yield were temperature 28°C, TSS 15°Brix and 6 days after fermentation. The model showed that the value of R2 (0.9998) was high and p- value of interaction of variance was <0.0001. Hence the model can be said to be of highly significant.

Sign in / Sign up

Export Citation Format

Share Document