Modeling of Impurities Evaporation Reaction Order in Aluminum Alloys by the Parametric Fitting of the Logistic Function.

Advancements in computer capabilities enable predicting process outcomes that earlier could only be assessed after post-process analyses. In aerospace and automotive industries it is important to predict parts properties before their formation from liquid alloys. In this work, the logistic function was used to predict the evaporation rates of the most detrimental impurities, if the temperature of the liquid aluminum alloy was known.

Extractive desulfurization of pyrolysis tire oil with deep eutectic solvent using hydrodynamic cavitation.

The extractive desulfurization (EXDS) of pyrolytic oil (PO) from organosulfur compound with deep eutectic solvent (DES), tetrabutylammonium bromide-formic acid, using hydrodynamic cavitation (HDC) was investigated. Applying the method of independent variation value one per variable, the effect of the processing parameters of EXDS using HDC: the inlet pressure of the reaction mixture (P), the mass ratio of DES to pyrolysis oil (DES/PO), the temperature of the reaction mixture (T) and the number of passes of the reaction mixture through the cavitation reactor (n), on the degree of desulfurization of pyrolytic oil (DDS) was determined. In order to determine the effect of processing parameters on the DDS, the processing parameters were varied following manners: (a) the value of P was varied in the range of 1-50 atm at DES/PO = 5, T = 298 K and n = 10, (b) the value of DES/PO was varied in the range of 1-10 at P = 30 atm, T = 298 K and n = 10, (c) the value of temperatures was varied within the range 298-338 K at P = 30 atm, DES/PO = 5, and n = 10, and (d) the value of (n) was varied within the range 1-20 at P = 30 atm, DES/PO = 5, and T = 298 K.