Evaluation and simultaneous optimization of some pellets characteristics using a 33 factorial design and the desirability function

Thirty-seven years of archives of environmental protection

“…Aeromonas hydrophila Gram-negative heterotrophic and nonsporulating bacterium is an important etiological factor of disease in fi sh and humans [2,11], and together with Escherichia coli, it is an indicator of water quality [29]. A. hydrophila as well as Pseudomonas spp.…”

Finite Element Methods to Optimize by Factorial Design the Solidification of Cu-5wt%Zn Alloy in a Sand Mold

“…t the variables x 1 , n factorial design but it can be obser adopted, this is hese consideration temperature, in 0.2298 ≈ 0 (mathe 3 = 0 in x 2 and x 3 must ta n. Because the ca rved that some so possible by sim ns, the approxim environment), x 2 ematic model, Sch orresponds to th 2 K, justly this va tion proved the v ial design, despit is to agree with While a quantitative analysis of equation (14) was made, will soon be made a qualitative analysis of equation (13) by means of graphic representation of this equation and this discussion will be confronted with factorial design of the solidification process parameters (Table 1) and Figure 8. Figure 9 presents the response surface plots (Aslan, 2007;Paterakis et al, 2002), obtained from equation (13), that describe the influence of the factors on the overall desirability, Figure 9(a) shows the 3D response surface relationship between convection phenomenon (x 2 ) and latent heat release form (x 3 ) at zero level of mold temperature (x 1 ). Note that, for a given value of x 2 , as the x 3 increases and the Z decreases until a minimum value for the interval of x 3 between -0.8 and 0.2.…”

“…Three pseudo specific heat (c´) obtained from the equations (3), (4) and (5) were used and these equations were denoted respectively by models A, B and C, and the sand thermo-physical properties was given by Midea and Shah (Midea and Shah, 2002). In this study, the Box-Behnken factorial design in three levels (Aslan, 2007;Paterakis et al, 2002;Montgomery, 1999) The initial and boundary conditions were applied to geometry of Figure 1 according to Table 1. The boundary condition was the convection phenomenon and this phenomenon was applied to the outside walls of the sand mold, as shown in Table 1.…”

Process optimization of nickel extraction from hazardous waste

“…It gives the possibility to separate the important factors from those which are not, and identifying any possible interactions between them [29]. By factorial design, the optimum leaching conditions having satisfactory nickel extraction can be achieved with minimum number of experiments.…”