Analysis of Phase-Transfer-CatalyzedO-Alkylation Reaction Using Fractional Factorial Design Method

2005 ◽  
Vol 192 (5) ◽  
pp. 557-574 ◽  
Author(s):  
MAW-LING WANG ◽  
YAO-HSUAN TSENG
Keyword(s):  
Factorial Design ◽  
Fractional Factorial Design ◽  
Phase Transfer ◽  
Design Method ◽  
Fractional Factorial ◽  
Alkylation Reaction

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.

Optimization of a Railway Freight Car Wheel by Use of a Fractional Factorial Design Method

1994 ◽  
Vol 208 (2) ◽  
pp. 97-107 ◽  
Author(s):  
M Fermér
Keyword(s):  
Factorial Design ◽  
Fractional Factorial Design ◽  
Design Method ◽  
Calculation Model ◽  
Contact Forces ◽  
Fractional Factorial ◽  
Empirical Formulas ◽  
Standard Type ◽  
Effective Measure ◽  
Lateral Contact

The performance of a ‘low-stress wheel’ exposed to vertical and lateral contact forces and to thermal braking loads is investigated. Based on finite element calculations, a two-level fractional factorial design method is used to quantify the influences of rim thickness, disc thickness and hub-rim offset on thermal and mechanical stressses, on axial rim displacement, and on wheel mass. A number of approximating linear empirical formulas have been obtained. They offer a powerful tool in designing and optimizing railway wheels. The most effective measure to reduce thermal and mechanical stresses is found to be a hub-rim offset but the penalty is a thermoelastic axial rim displacement during heating. This displacement can be minimized by using as large an offset as possible within geometrical limits. In contrast to the standard type of wheel, no residual deformations and large stresses are induced in the offset wheel after heavy block braking. Full-scale dynamometer brake tests performed on a new prototype wheel are reported. The test results support the calculation model used.

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.

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