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Statistical design of experiment (DOE) was used to evaluate the effect of important variables in the thermal cracking of residue oil, and to obtain the optimum operating conditions.
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The built model is used to study the effects of important variables.
In dyes removal process, the effects of important variables such as initial concentration of dyes, adsorbent mass, pH and sonication time on adsorption process optimized by Taguchi approach.
An expression was derived for instantaneous monomer conversion which can predict the effects of important variables such as feed rates, seed composition, and seed contents on the evolution of steady state.
The effects of important variables such as the initial concentration of MB, adsorbent mass, sonication time and pH on the removal percentage of MB were investigated and optimized by central composite design (CCD).
In this study, the Box Wilson statistical experimental design method was employed to evaluate the effects of important variables such as amount of Na-Oleate, salt (MgCl2) concentration and stirring speed on the shear flocculation of celestite.
In this study, the Box-Wilson statistical experimental design method was employed to evaluate the effects of important variables such as bridging liquid (oil) concentration, salt (CaCl2·2H2O) concentration and stirring speed on the agglomeration of bituminous coal.
The second fold of study is the Box Wilson experimental design method and it was employed to evaluate the effects of important variables such as bridging liquid concentration (kerosene), dispersant (sodium silicate) concentration and stirring speed on the hydrophobic flocculation of coal.
This work presents a characterization of important variables and the research on the effects of these variables.
Finally, a sensitivity analysis has been done in order to investigate the effect of some important variables in the study.
RSM, a 23 + α factorial design, was used to study and to optimize the effect of three important variables, gelatin concentration (CG), plasticizer concentration (CP) and montmorillonite concentration (CN), on the rheological properties of a nanocomposite-forming solution, and on the properties of the films (mechanical and barrier properties).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com