scholarly journals Construction of Fractional Factorial Design Considering Accuracy and Robustness in the Estimation of Main Effects

2021 ◽  
Vol 6 (1) ◽  
pp. 11-19
Author(s):  
Yumiko Taguchi ◽  
Shu Yamada
Keyword(s):  
Factorial Design ◽  
Fractional Factorial Design ◽  
Fractional Factorial ◽  
Main Effects

Characteristic of Competitive Adsorption of Dimethoate with a Variety of Pollutants on Surficial Sediments through Fractional Factorial Design

2012 ◽  
Vol 599 ◽  
pp. 467-471
Author(s):  
Meng Wang ◽  
Xiao Li Li ◽  
Yu Li
Keyword(s):  
Factorial Design ◽  
Fractional Factorial Design ◽  
Design Method ◽  
Interaction Effects ◽  
Second Order ◽  
Fractional Factorial ◽  
Surficial Sediments ◽  
Order Interaction ◽  
Compound Pollution ◽  
Main Effects

In order to reveal the combined pollution characteristic of dimethoate adsorption onto the surficial sediments in pesticide (dimethoate, metalaxyl, atrazine, malathion, prometryn)/heavy metals (copper, zinc, lead, cadmium, nickel) composite contamination system, a completely foldover design and confounding design assisted resolution Ⅲ of 210-6 fractional factorial design method is used to identify the main effects and interactions of these ten pollution factors. The study found that the main effects of zinc, cadmium, malathion, prometryn have significant effect (α=0.05) to dimethoate adsorption on the sediment, in which zinc and cadmium will significantly antagonism to adsorption of dimethoate, while metalaxyl and prometryn will significantly collaborative to adsorption of dimethoate, and these main effects’ contribution rates are 64.4% and the second-order interaction effects’ contributions are 35.6%. According to the effect estimates of main effects and second-order interaction effects, zinc*prometryn and cadmium*atrazine have significantly antagonism to adsorption of dimethoate. Moreover, we also can estimate the compound pollution levels about the target pollutant on these main effects and second-order interaction effects of pollutant factors.

Étude des conditions de la réaction de condensation de Claisen–Schmidt de la furylméthylcétone sur le 2,5-furanedicarboxaldehyde

1992 ◽  
Vol 70 (8) ◽  
pp. 2306-2309 ◽  
Author(s):  
Carmen Dominguez ◽  
Joaquín Plumet ◽  
Antoine Gaset ◽  
Luc Rigal
Keyword(s):  
Factorial Design ◽  
Fractional Factorial Design ◽  
Interaction Effects ◽  
Fractional Factorial ◽  
Reaction Conditions ◽  
Schmidt Reaction ◽  
Five Factors ◽  
Main Effects

The Claisen–Schmidt reaction of 2,5-furandicarboxaldehyde (FDC) with 2-acetylfuran allows for the synthesis of three products as a function of the reaction conditions. The main effects of five factors and their interaction effects on seven responses have been quantified by means of a fractional factorial design.

Study on the Competitive Adsorption of Dimethoate with Multiple Pesticides and Heavy Metals Based on Fractional Factorial Design

2013 ◽  
Vol 864-867 ◽  
pp. 229-233
Author(s):  
Bing Chuan Cheng ◽  
Lin Liu ◽  
Xiao Yu Cai ◽  
Meng Wang ◽  
Yu Li
Keyword(s):  
Heavy Metals ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Factorial Design ◽  
Competitive Adsorption ◽  
Fractional Factorial Design ◽  
Second Order ◽  
Fractional Factorial ◽  
Surficial Sediments ◽  
Main Effects

In order to reveal the composite contaminations characteristic of dimethoate adsorption onto the surficial sediments, the competitive adsorption of dimethoate in pesticide (dimethoate, metalaxyl, atrazine, malathion, and prometryn)/heavy metals (copper, zinc, lead, cadmium and nickel) system is investigated. A 210-5 fractional factorial design method at resolution IV and a multiple linear regression adsorption model are used to identify the main effects and interactions of above ten pollutions. The adsorption amount of dimethoate surficial sediments is set as the dependent variable, and the main effects and second-order interactions of ten pollutions are set as independent variables. Thus, a multiple linear regression model of dimethoate adsorption is screened and established. The results of model show that the main effects of Cd, malathion and prometryn performed a significant antagonistic effect (α=0.05) on the adsorption of dimethoate onto the sediment (competitive adsorption effects), and the order is: prometryn (-0.0925) > Cd (-0.0878) > malathion (-0.0827); while heavy metal Zn performed a significant synergy effect on the adsorption of dimethoate. The second-order interaction effects of Zn*prometryne, Pb*atrazine and Pb*atrazine has a significant antagonistic impact on the adsorption of dimethoate in sediments, which is in a sequence of Zn*prometryne (-0.0967) > Pb*atrazine (-0.0945) > Cd*atrazine (-0.0922). Moreover, according to the rate of contributions of main effects and second-order interaction effects in composite contaminations system, we can also estimate and definite the pollution levels of target pollutant.

Optimization of PES Nanocomposite Membrane Preparation Using Statistical Analysis and Experimental Design

2019 ◽  
Author(s):  
Yasin Orooji ◽  
Fatemeh Noorisafa ◽  
Nahid Imami ◽  
Amir R. Chaharmahali
Keyword(s):  
Statistical Analysis ◽  
Experimental Design ◽  
Factorial Design ◽  
Fractional Factorial Design ◽  
Fractional Factorial ◽  
Nanocomposite Membrane ◽  
Membrane Preparation ◽  
Membrane Fabrication

<p>Using experimental design and statistical analysis (½ Fractional Factorial Design), this study investigates the effect of different parameters in the membrane fabrication on the performance of nanocomposite PES/TiO<sub>2</sub> membrane. </p>

scholarly journals Fabrication of a Silicide Thermoelectric Module Employing Fractional Factorial Design Principles

2021 ◽  
Author(s):  
Joachim S. Graff ◽  
Raphael Schuler ◽  
Xin Song ◽  
Gustavo Castillo-Hernandez ◽  
Gunstein Skomedal ◽  
...  
Keyword(s):  
Factorial Design ◽  
Fractional Factorial Design ◽  
Waste Heat ◽  
Thermoelectric Module ◽  
Fractional Factorial ◽  
Taguchi Methods ◽  
Dimensional Parameter ◽  
Cu Metallization ◽  
Manganese Silicide ◽  
And Performance

AbstractThermoelectric modules can be used in waste heat harvesting, sensing, and cooling applications. Here, we report on the fabrication and performance of a four-leg module based on abundant silicide materials. While previously optimized Mg2Si0.3Sn0.675Bi0.025 is used as the n-type leg, we employ a fractional factorial design based on the Taguchi methods mapping out a four-dimensional parameter space among Mnx-εMoεSi1.75−δGeδ higher manganese silicide compositions for the p-type material. The module is assembled using a scalable fabrication process, using a Cu metallization layer and a Pb-based soldering paste. The maximum power output density of 53 μW cm–2 is achieved at a hot-side temperature of 250 °C and a temperature difference of 100 °C. This low thermoelectric output is related to the high contact resistance between the thermoelectric materials and the metallic contacts, underlining the importance of improved metallization schemes for thermoelectric module assembly.

scholarly journals Producing Magnetic Nanocomposites from Paper Sludge for the Adsorptive Removal of Pharmaceuticals from Water—A Fractional Factorial Design

Nanomaterials ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 287
Author(s):  
Luciana S. Rocha ◽  
Érika M. L. Sousa ◽  
María V. Gil ◽  
João A. B. P. Oliveira ◽  
Marta Otero ◽  
...  
Keyword(s):  
Activated Carbon ◽  
Factorial Design ◽  
Fractional Factorial Design ◽  
Metal Oxide Nanoparticles ◽  
Aqueous Media ◽  
Fractional Factorial ◽  
Paper Sludge ◽  
Synthesis Conditions ◽  
Adsorptive Removal ◽  
Iron Salts

In view of a simple after-use separation, the potentiality of producing magnetic activated carbon (MAC) by intercalation of ferromagnetic metal oxide nanoparticles in the framework of a powder activated carbon (PAC) produced from primary paper sludge was explored in this work. The synthesis conditions to produce cost effective and efficient MACs for the adsorptive removal of pharmaceuticals (amoxicillin, carbamazepine, and diclofenac) from aqueous media were evaluated. For this purpose, a fractional factorial design (FFD) was applied to assess the effect of the most significant variables (Fe3+ to Fe2+ salts ratio, PAC to iron salts ratio, temperature, and pH), on the following responses concerning the resulting MACs: Specific surface area (SBET), saturation magnetization (Ms), and adsorption percentage of amoxicillin, carbamazepine, and diclofenac. The statistical analysis revealed that the PAC to iron salts mass ratio was the main factor affecting the considered responses. A quadratic linear regression model A = f(SBET, Ms) was adjusted to the FFD data, allowing to differentiate four of the eighteen MACs produced. These MACs were distinguished by being easily recovered from aqueous phase using a permanent magnet (Ms of 22–27 emu g−1), and their high SBET (741–795 m2 g−1) were responsible for individual adsorption percentages ranging between 61% and 84% using small MAC doses (35 mg L−1).

Optimization of Magnesium Separation and Extraction from Boron Slurry Using Response Surface Methodology

2011 ◽  
Vol 366 ◽  
pp. 366-369
Author(s):  
Feng Gao ◽  
Rong Fu ◽  
Ming Yang Qian ◽  
Zhu Min Wang ◽  
Xiang Zhang
Keyword(s):  
Response Surface Methodology ◽  
Reaction Time ◽  
Factorial Design ◽  
Response Surface ◽  
Reaction Temperature ◽  
Fractional Factorial Design ◽  
Design Criterion ◽  
Fractional Factorial ◽  
Effective Factors

Response surface methodology was used to optimize the soaking Mg leaching ratio from the boron slurry screened by 25 fractional factorial design. Five effective factors such as H2SO4 concentrations, reaction time, reaction temperature and stir velocity were tested by using 25 fractional factorial design criterion and three effective factors H2SO4 concentrations, reaction time and reaction temperature showed significant effect(P2SO4 concentrations of 0.29mol/l, reaction time of 90 min and reaction temperature of 50°C. Three runs of additional confirmation experiments were conducted. The mixture magnesium leaching value was 58.20%.

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