By Edited by Hongxi Zhu Linjiang Wang
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This publication constitutes the refereed complaints of the tenth eu convention on Evolutionary Computation, computing device studying and knowledge Mining in Bioinformatics, EvoBIO 2012, held in Málaga, Spain, in April 2012 co-located with the Evo* 2012 occasions. The 15 revised complete papers provided including eight poster papers have been conscientiously reviewed and chosen from a number of submissions.
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It is possible that oxygen inhibits cobalt reduction by the formation of oxides of hydroxides on the zinc dust surface, or it can cause the oxidation of zinc. Even though the solubility of oxygen at 90˚C in zinc electrolyte is less than 9 ppm, the effect on deposit stability and zinc dust consumption can be significant. Oxygen has the possibility to make cobalt redissolve because of high reduction potential, and the reaction is given as Co+1/2O2→CoO and CoO+2H+→Co2++H2O. The comparative experiment in air and in nitrogen for the redissolution of cobalt was done by Oluf [2].
1 to Eq. 3) of all the compounds and the activity definitions (from Eq. 4 to Eq. 12) of slag structure units, substituted the certain slag composition, thus the activities of each element in the slag could be calculated. 12 into simultaneous equations in pairs to cancel ∑n, then input the equilibrium constant of the corresponding compounds that generated at 1773K, after being processed the former calculation model could translate into a higher mode equation set with only 8 unknown numbers, such as simultaneous Eq.
Surface tension is one of the important physical properties of slag. The research of influence factors on the slag surface tension is significant to form a freeze slag inside reaction shaft, with compact structure, good heat insulation, certain intensity, appropriate thickness and reasonable distribution, to extend furnace life, to reduce energy consumption, and to promote production safety. In recent years, several investigations have been conducted on slag surface tension. Nakamoto et al. studied the surface tension of ternary silicate melts containing Al2O3, CaO, FeO, MgO or MnO [8], and investigated the surface tension of molten silicates containing surface-active components (B2O3, CaF2 or Na2O) [9], and applied neural network computation to the estimation of surface tension in Hongxi Zhu and Linjiang Wang 23 ternary silicate melts [10].