A statistical thermodynamic solution model based on the free volume theory is applied to liquid iron-nitrogen based ternary alloys to derive the relationship between the enthalpy interaction parameter and the entropy interaction parameter. A linear relationship between those parameters is obtained. Then, Wagner's interaction parameters of nitrogen with some metallic elements in liquid iron alloys are evaluated. These results show that the free volume of the solute elements is an important factor to determine the excess entropy terms in those alloys
Surface tension of liquid Fe–Ti alloys has been determined by using the constrained drop method at 1 823 K in Ar–10%H2 gas atmosphere. It was found that the surface tension of liquid Fe–Ti alloy decreases slightly with increasing titanium content. In addition, the surface tension of Fe–Ti alloy was also obtained by a theoretical calculation. It was found that the experimental results became slightly lower than the calculated results with increasing titanium content. This paper also discusses the possible reasons for the slight decrease in the surface tension with increasing the titanium content.
Information on the electrical conductivity of high-temperature molten oxides can be used as very useful information not only for conventional metallurgical processes on the Earth, but also for the development of extraterrestrial resources such as lunar soil. The models for estimating electrical conductivity of molten slag developed so far apply only to a limited number of slag systems. In this study, a neural network modeling was established to reliably estimate the electrical conductivity of multi-component slag containing TiO2. In neural network modeling, the electrical conductivity of multi-component slag was used as teaching data to conduct the learning process and Bayesian optimization was applied to determine the estimation precision. As a result, it was possible to construct a reliable neural network estimation model for electrical conductivity that was highly consistent with experimental values collected from the literature data, and the effect of oxide addition on electrical conductivity was investigated using the estimation model. This suggests that it is possible to build a reliable electrical conductivity estimation model by the neural network modeling of accumulated experimental data for multi-component slag, and it is expected that the model will be applied to the electrical conductivity estimation of unknown multi-component slag systems.
Article Thermodynamic Relationship between Enthalpy of Mixing and Excess Entropy in Liquid Binary Alloys was published on March 1, 1993 in the journal International Journal of Materials Research (volume 84, issue 3).
