Add time:07/30/2019         Source:sciencedirect.com

Experimental prediction of the thermodynamic behavior of the aqueous sulfuric acid (cas 10404-39-4) system is complex due to its low volatility, chemical speciation of the sulfuric acid at low concentration, formation of azeotrope and decomposition of the sulfuric acid at high concentration and temperature. In this work, a chemical speciation based algorithm to estimate thermodynamic behavior of multielectrolyte system is proposed. The algorithm for chemical speciation at the known temperature and concentration of solution was solved numerically. The proposed algorithm is robust, and the results are consistent that show parity with experimental data for vapor liquid equilibrium, liquid and vapor phase speciation, excess enthalpy, degree of dissociation, pressure and activity. The effectiveness of the methodology is established using aqueous sulfuric acid solution for which phase changing compositions from pure water to pure sulfuric acid can be predicted. Moreover, the developed methodology can also predict the thermodynamic properties of the system for an extended temperature range (>Tc)

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