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The reduction of the NOx content in in-line-calciner-type kiln systems can be made by optimization of the primary firing in the rotary kiln and of the secondary firing in the calciner.
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The optimization can also be made by modifying several parameters simultaneously in order to improve the results.
Optimizations to this strategy can be made by collapsing items only for some critical areas of the matrix where the presence of biclusters is scarcer.
The optimization of the fitted model was made by a traditional optimization technique (i.e. Levenberg Marquard's) and the resulting optimal formulations were very close to the validation models with an error lesser than 3%.
The final optimization was made by means of the PM6 method in Gaussian09W.
The optimization was made by establishing the Design Space, adjusting the concentration of starch and the quantity of the internal aqueous phase.
Both the performance and optimization study have been made by two approaches of the analysis described based on the handling of the psychrometric properties at the tip as a function of temperatures.
The optimization of the curing parameters was made by kinetics analysis based on Differential Scanning Calorimetry (DSC) measurements.
The optimizations of the lattice constants and the atomic coordinates are made by the minimization of the total energy.
Hence, the present study highlights the use of waste cooking oil (WCO) as a feedstock for biodiesel production by esterification, which is made feasible by optimization using Taguchi approach.
Clearly, the optimization strategy of SPI could be made more stringent by prolonging the growth/selection interval.
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