Abstract
The influence of process regimes (temperature of the outer wall of the calcinator, solution flow rate, sprayed-drop size) and the composition of the wastes and additives for calcination (concentrations of sodium, iron, and aluminum nitrates, nitric acid, and carbamide as well as silicon dioxide) is studied using the statistical methods of experiment planning to study calcination of waste simulators in a spray dryer. Interpolation formulas are obtained to calculate the nitrate ion content, the degree of decomposition of sodium nitrate, the angle of rest, the bulk density, and the moisture content of the calcinate in the region studied. The steep-ascent method is used to optimize the nitrate ion content in the calcinate as a function of the process regime and the composition of the wastes. Correlation analysis is used to choose a generalized optimization parameter best characterizing the calcination of nitric acid solutions. For calcination, only the nitrate ion content in the calcinate can be taken as the generalized optimization parameter.
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